The 100 most-cited articles in Frontiers in Psychology, 2023

Introduction: This mixed-methods study evaluates the impact of AI-assisted language learning on Chinese English as a Foreign Language (EFL) students' writing skills and writing motivation. As artificial intelligence (AI) becomes more prevalent in educational settings, understanding its effects on language learning outcomes is crucial. Methods: The study employs a comprehensive approach, combining quantitative and qualitative methods. The quantitative phase utilizes a pre-test and post-test design to assess writing skills. Fifty EFL students, matched for proficiency, are randomly assigned to experimental (AI-assisted instruction via ChatGPT) or control (traditional instruction) groups. Writing samples are evaluated using established scoring rubrics. Concurrently, semi-structured interviews are conducted with a subset of participants to explore writing motivation and experiences with AI-assisted learning. Results: Quantitative analysis reveals significant improvements in both writing skills and motivation among students who received AI-assisted instruction compared to the control…

Social exchange theory (SET) is one of the most influential theories in social sciences, which has implications across various fields. Despite its usefulness being a typical social transaction, there is a need to look at it from the lens of psychological transactions to further its evolution and to identify future directions. After generally reviewing 3,649 articles from the Social Science Citation Index and Scopus, a total of 46 articles were selected for final review using a comprehensive systematic review approach. We have highlighted the need for further research in psychological transactions, reciprocity principles, exchange relations, and the impact of various factors on the exchange process. Among other exchange rules (social, economic, and psychological) and transactions (social, economic, and psychological), this research provides an elevation platform for the less explored exchange rules in psychological transactions. Among other theories in the social sciences, social exchange theory is a theory that shadows many other theories under its umbrella.

Introduction: This mixed methods study examines the effects of AI-mediated language instruction on English learning achievement, L2 motivation, and self-regulated learning among English as a Foreign Language (EFL) learners. It addresses the increasing interest in AI-driven educational technologies and their potential to revolutionize language instruction. Methods: Two intact classes, consisting of a total of 60 university students, participated in this study. The experimental group received AI-mediated instruction, while the control group received traditional language instruction. Pre-tests and post-tests were administered to evaluate English learning achievement across various domains, including grammar, vocabulary, reading comprehension, and writing skills. Additionally, self-report questionnaires were employed to assess L2 motivation and self-regulated learning. Results: Quantitative analysis revealed that the experimental group achieved significantly higher English learning outcomes in all assessed areas compared to the control group. Furthermore, they exhibited greater L2…

Introduction: With the educational reform for skills in the 21st century, a large number of scholars have explored project-based learning. However, whether project-based learning can effectively improve the learning effect of students has not yet reached a unified conclusion. Method: This study uses a meta-analysis method to transform 66 experimental or quasi-experimental research papers based on project-based learning over the past 20 years into 190 effect values from the sample size, mean, and standard deviation of experimental data during their experiments, and to conduct in-depth quantitative analysis. Results: The results of the study showed that compared with the traditional teaching model, project-based learning significantly improved students' learning outcomes and positively contributed to academic achievement, affective attitudes, and thinking skills, especially academic achievement. Discussion: The results of the moderating effects test indicated that the effectiveness of project-based learning and teaching was influenced by different moderating variables, including…

The rapid advancement of artificial intelligence (AI) has generated an increasing demand for tools that can assess public attitudes toward AI. This study proposes the development and the validation of the AI Attitude Scale (AIAS), a concise self-report instrument designed to evaluate public perceptions of AI technology. The first version of the AIAS that the present manuscript proposes comprises five items, including one reverse-scored item, which aims to gauge individuals' beliefs about AI's influence on their lives, careers, and humanity overall. The scale is designed to capture attitudes toward AI, focusing on the perceived utility and potential impact of technology on society and humanity. The psychometric properties of the scale were investigated using diverse samples in two separate studies. An exploratory factor analysis was initially conducted on a preliminary 5-item version of the scale. Such exploratory validation study revealed the need to divide the scale into two factors. While the results demonstrated satisfactory internal consistency for the overall scale and its…

The artificial intelligence chatbot, ChatGPT, has gained widespread attention for its ability to perform natural language processing tasks and has the fastest-growing user base in history. Although ChatGPT has successfully generated theoretical information in multiple fields, its ability to identify and describe emotions is still unknown. Emotional awareness (EA), the ability to conceptualize one’s own and others’ emotions, is considered a transdiagnostic mechanism for psychopathology. This study utilized the Levels of Emotional Awareness Scale (LEAS) as an objective, performance-based test to analyze ChatGPT’s responses to twenty scenarios and compared its EA performance with that of the general population norms, as reported by a previous study. A second examination was performed one month later to measure EA improvement over time. Finally, two independent licensed psychologists evaluated the fit-to-context of ChatGPT’s EA responses. In the first examination, ChatGPT demonstrated significantly higher performance than the general population on all the LEAS scales (Z score = 2.84).…

Information overload is a problem that is being exacerbated by the ongoing digitalization of the world of work and the growing use of information and communication technologies. Therefore, the aim of this systematic literature review is to provide an insight into existing measures for prevention and intervention related to information overload. The methodological approach of the systematic review is based on the PRISMA standards. A keyword search in three interdisciplinary scientific databases and other more practice-oriented databases resulted in the identification of 87 studies, field reports, and conceptual papers that were included in the review. The results show that a considerable number of papers have been published on interventions on the behavioral prevention level. At the level of structural prevention, there are also many proposals on how to design work to reduce information overload. A further distinction can be made between work design approaches at the level of information and communication technology and at the level of teamwork and organizational regulations.…

Background Advances in artificial intelligence (AI) technologies, together with the availability of big data in society, creates uncertainties about how these developments will affect healthcare systems worldwide. Compassion is essential for high-quality healthcare and research shows how prosocial caring behaviors benefit human health and societies. However, the possible association between AI technologies and compassion is under conceptualized and underexplored. Objectives The aim of this scoping review is to provide a comprehensive depth and a balanced perspective of the emerging topic of AI technologies and compassion, to inform future research and practice. The review questions were: How is compassion discussed in relation to AI technologies in healthcare? How are AI technologies being used to enhance compassion in healthcare? What are the gaps in current knowledge and unexplored potential? What are the key areas where AI technologies could support compassion in healthcare? Materials and methods A systematic scoping review following five steps of Joanna Briggs Institute…

The integration of gamification into educational settings has gained recognition for its potential to boost student motivation, engagement, interest, and learning outcomes. Despite its popularity, research on gamification has produced mixed results regarding student learning outcomes. This meta-analysis aims to synthesize the existing empirical evidence on the effectiveness of gamification as a tool for promoting teaching and learning in educational settings. Forty-one studies with 49 independent samples involving more than 5,071 participants were included in our analysis. Results from random effects models showed an overall significant large effect size ( g = 0.822 [0.567 to 1.078]). The research performed the moderator analysis to scrutinize the effects of a number of factors on the relationship between gamification and student learning outcomes. The study uncovered significant moderating effects for user type, educational discipline, design principles for educational gamification, duration of “gameful” experience, and learning environment. However, measurement of student outcomes…

Introduction: This research aimed to explore the relationships among teacher self-efficacy, teacher resilience, emotion regulation, and teacher burnout within the context of Chinese English as a foreign language (EFL) teachers. Methods: A sample of 638 Chinese EFL teachers participated in this study. They completed self-report assessments for teacher self-efficacy, teacher resilience, emotion regulation, and teacher burnout. Confirmatory factor analysis was conducted to establish the construct validity of the measurement tools. Subsequently, structural equation modeling was utilized to assess the proposed structural model. Results: The results of the study revealed significant insights. Teacher self-efficacy and resilience exhibited direct and negative associations with teacher burnout. Additionally, an interesting finding emerged where teacher emotion regulation indirectly affected teacher burnout, mediated by teacher resilience. The analysis supported the suitability of the partial mediation model as the best-fit representation of the relationships. Discussion: The findings of…

Introduction: This study investigated the effectiveness of artificial intelligence-based instruction in improving second language (L2) speaking skills and speaking self-regulation in a natural setting. The research was conducted with 93 Chinese English as a foreign language (EFL) students, randomly assigned to either an experimental group receiving AI-based instruction or a control group receiving traditional instruction. Methods: The AI-based instruction leveraged the Duolingo application, incorporating natural language processing technology, interactive exercises, personalized feedback, and speech recognition technology. Pre- and post-tests were conducted to assess L2 speaking skills and self-regulation abilities. Results: The results of the study demonstrated that the experimental group, which received AI-based instruction, exhibited significantly greater improvement in L2 speaking skills compared to the control group. Moreover, participants in the experimental group reported higher levels of self-regulation. Discussion: These findings suggest that AI-based instruction…

Introduction: Teacher wellbeing is a growing area of research that has seen a steady increase in publications in recent years. The subsequent need to synthesize and structure this existing research has been articulated and addressed by a handful of systematic research reviews. However, no previous reviews have examined the potential outcomes of teacher wellbeing as a primary theme. Methods: Following the preferred reporting items for systematic reviews and meta-analyses (PRISMA) guidelines, this review has identified and evaluated the studies investigating the possible outcomes of teacher wellbeing. A keyword search identified 397 records. After the records were screened, 44 research studies analyzing data from over 76,990 teachers were included in this in-depth analysis; the concepts, methods and findings of these studies were examined. Results and discussion: The results of this review highlight the significant relationship of teacher wellbeing with several factors and desirable outcomes, including teachers' sleep quality, teacher retention, teacher-student relationships, and…

The neurodiversity paradigm challenges pathologising accounts of neurodevelopmental differences, including autism, attention deficit disorder (ADHD), dyslexia, developmental language disorder (DLD) and others. From a neurodiversity perspective, these differences in the way people perceive, learn about and interact with the world are conceptualised as naturally occurring cognitive variation, akin to biodiversity in the natural environment, which may bring unique strengths and challenges for individuals. An implication of this approach is that interventions designed to create contexts in which neurodivergent people can thrive are needed, in addition to those that seek to ameliorate individual-level difficulties. In this conceptual review, we consider how higher education can offer a context in which cognitive diversity can be noticed, welcomed and accepted with warmth. In universities, neurodiversity is one dimension of difference within an increasingly diverse student population, which overlaps - but is not synonymous - with disability. We argue that improving experience and outcomes…

Introduction: Given the significant role of work engagement of teachers in educational contexts, some scholarly attention has been directed to exploring the predictors of this construct. Against this backdrop, this study aimed to investigate the predictors of teacher work engagement among Chinese English as a foreign language (EFL) teachers by testing a model that includes teacher self-efficacy, teacher reflection, and teacher resilience. Methods: To achieve this goal, 512 EFL teachers were invited to participate in an online survey, which consisted of four questionnaires. The construct validity of the measures was confirmed through confirmatory factor analysis. Then, structural equation modeling was utilized to examine the relationships between the variables. Results: The findings indicated that teacher self-efficacy, teacher reflection, and teacher resilience were direct predictors of work engagement, and teacher self-efficacy had an indirect effect on work engagement via teacher reflection and resilience. Similarly, teacher reflection also had an indirect impact on work…

Generative artificial intelligence (GAI) shocked the world with its unprecedented ability and raised significant tensions in the education field. Educators inevitably transition to an educational future that embraces GAI rather than shuns it. Understanding the mechanism between students interacting with GAI tools and their achievement is important for educators and schools, but relevant empirical evidence is relatively lacking. Due to the characteristics of personalization and real-time interactivity of GAI tools, we propose that the students-GAI interaction would affect their learning achievement through serial mediators of self-efficacy and cognitive engagement. Based on questionnaire surveys that include 389 participants as the objective, this study finds that: (1) in total, there is a significantly positive relationship between student-GAI interaction and learning achievement. (2) This positive relationship is mediated by self-efficacy, with a significant mediation effect value of 0.015. (3) Cognitive engagement also acts as a mediator in the mechanism between the student-GAI…

While artificial intelligence-based chatbots have demonstrated great potential for writing, little is known about whether and how doctoral students accept the use of ChatGPT in writing. Framed with Technology Acceptance Model, this study investigated doctoral students' acceptance toward ChatGPT in writing and the factors that influence it. The questionnaire survey revealed a high intention to use ChatGPT in writing among doctoral students in China. The findings further indicated that attitude was a significant predictor of behavioural intention to use ChatGPT in writing and mediated the impacts of perceived usefulness and perceived ease of use on it. Perceived ease of ChatGPT use was in turn influenced by students' past ChatGPT use experience. This study provides powerful evidence for the applicability of Technology Acceptance Model in the acceptance of ChatGPT in writing. The results have significant implications for leveraging ChatGPT for writing in higher education.

The rapid advances of science and technology have provided a large part of the world with all conceivable needs and comfort. However, this welfare comes with serious threats to the planet and many of its inhabitants. An enormous amount of scientific evidence points at global warming, mass destruction of bio-diversity, scarce resources, health risks, and pollution all over the world. These facts are generally acknowledged nowadays, not only by scientists, but also by the majority of politicians and citizens. Nevertheless, this understanding has caused insufficient changes in our decision making and behavior to preserve our natural resources and to prevent upcoming (natural) disasters. In the present study, we try to explain how systematic tendencies or distortions in human judgment and decision-making, known as "cognitive biases," contribute to this situation. A large body of literature shows how cognitive biases affect the outcome of our deliberations. In natural and primordial situations, they may lead to quick, practical, and satisfying decisions, but these decisions may be poor…

Objective: This study aims to investigate the relationship and mechanisms of action among academic stress, academic anxiety, academic self-efficacy, and academic burnout among adolescents. Methods: A study of 929 Chinese adolescents (53.71% males, mean age = 11.94 years, SD = 0.77) was conducted using the Study Stress Questionnaire, Academic Anxiety Subscale, Junior Middle School Students' Learning Weariness Scale, and the Academic Self-efficacy Questionnaire. Results: ①Academic stress was significantly and positively correlated with academic anxiety and academic burnout, and significantly and negatively correlated with academic self-efficacy. ②Academic anxiety partially mediated the relationship between academic stress and academic burnout. ③Academic self-efficacy significantly moderated the direct effect of academic stress on academic burnout, and higher academic self-efficacy could buffer the negative effect of academic stress. ④Academic self-efficacy significantly moderated the second half of the mediated model's path (academic anxiety → academic burnout), that is, low academic…

Background Caring for patients with cancer can result in significant burden, anxiety, and depression among family caregivers, leading to alterations in their mental and physical wellbeing. Evidence on the level of cancer caregivers' burden, depression, anxiety, their role in assisting their patients, and other patient and caregiver factors that play in improving/worsening the outcomes, is limited. This study explored the prevalence of caregiving burden, depression, and anxiety with a focus on the patient and caregiver-related factors among cancer family caregivers. Methods A cross-sectional study was conducted on the population of caregivers of adult patients with cancer in Zanjan, Iran between 2019 and 2020. The Beck Depression Inventory (BDI), the Beck Anxiety Inventory (BAI), and the Zarit Burden Inventory (ZBI) were used to measure outcome variables. Clinical and basic characteristics of the caregivers and patients were also collected. An independent samples t -test, analysis of variance, Pearson's correlation coefficient, and stepwise linear regression were performed using SPSS…

Automatic electroencephalogram (EEG) emotion recognition is a challenging component of human-computer interaction (HCI). Inspired by the powerful feature learning ability of recently-emerged deep learning techniques, various advanced deep learning models have been employed increasingly to learn high-level feature representations for EEG emotion recognition. This paper aims to provide an up-to-date and comprehensive survey of EEG emotion recognition, especially for various deep learning techniques in this area. We provide the preliminaries and basic knowledge in the literature. We review EEG emotion recognition benchmark data sets briefly. We review deep learning techniques in details, including deep belief networks, convolutional neural networks, and recurrent neural networks. We describe the state-of-the-art applications of deep learning techniques for EEG emotion recognition in detail. We analyze the challenges and opportunities in this field and point out its future directions.

The present article reports a narrative review of intervention (i.e., training) studies using Virtual Reality (VR) in sports contexts. It provides a qualitative overview and narrative summary of such studies to clarify the potential benefits of VR technology for sports performance enhancement, to extract the main characteristics of the existing studies, and to inform and guide future research. Our literature search and review eventually resulted in 12 intervention studies with a pre vs. post design focused on different sports, including target and precision sports (archery, bowling, curling, darts, golf), bat/racquet and ball sports (baseball, table tennis), goal sports (football/soccer, basketball), martial arts (karate), and sport-unspecific processes such as bodily sensations and balancing. The samples investigated in the primary studies included novice, amateur, and expert athletes (total aggregated sample size N = 493). Many studies found statistically significant effects in relevant target skills following interventions in VR, often outperforming training effects in passive or…

Trust exerts an impact on essentially all forms of social relationships. It affects individuals in deciding whether and how they will or will not interact with other people. Equally, trust also influences the stance of entire nations in their mutual dealings. In consequence, understanding the factors that influence the decision to trust, or not to trust, is crucial to the full spectrum of social dealings. Here, we report the most comprehensive extant meta-analysis of experimental findings relating to such human-to-human trust. Our analysis provides a quantitative evaluation of the factors that influence interpersonal trust, the initial propensity to trust, as well as an assessment of the general trusting of others. Over 2,000 relevant studies were initially identified for potential inclusion in the meta-analysis. Of these, ( n = 338) passed all screening criteria and provided therefrom a total of ( n = 2,185) effect sizes for analysis. The identified dependent variables were trustworthiness, propensity to trust, general trust, and the trust that supervisors and subordinates express…

Virtual influencers are gaining prominence as a way of attracting people's attention on social media, but limited research has been conducted on this subject. In this research, we explore the effects of human-like virtual influencers (HVIs) vs. anime-like virtual influencers (AVIs) and sponsorship disclosure on message credibility perception and message attitudes. Conducted with a 2 (virtual influencer type: HVI vs. AVI) x 2 (sponsorship disclosure: absent vs. present) between-subjects experiment, our findings suggest that HVI endorsements produce greater perception of message credibility and message attitudes than AVI endorsements, but the superior effect of HVIs (vs. AVIs) vanishes when sponsorship is disclosed. The results also show that message credibility plays a significant mediating role only when sponsorship is not disclosed. We believe our research offers interesting insights to both researchers and practitioners on the topic of virtual influencers.

Many studies have investigated how organizational support systems, remote work adaptation, and control over scheduling reduced psychological burnout and occupational stress, thus improving employee wellbeing during the COVID-19 pandemic. This systematic literature review has analyzed significant published peer-reviewed evidence concerning how remote employees lacking constant organizational support during the COVID-19 outbreak experienced escalated job demands, professional strain, low satisfaction and performance, and increased burnout. Throughout February 2023, a quantitative literature review covering scholarly databases such as the Web of Science, Scopus, and ProQuest was performed, with the following search terms: "COVID-19" + "remote work burnout," "COVID-19" + "professional job stress," and "COVID-19" + "employee emotional exhaustion." By inspecting research published between 2020 and 2022, a total of 311 articles satisfied the eligibility criteria. Excluding sources in PRISMA terms, 44 empirical sources were finally selected. Methodological quality assessment tools such as…

While entrepreneurship is believed to play a crucial role in economic growth and job creation in various parts of the world, particularly in developed countries, the key factors enhancing entrepreneurship behavior and intention in developing countries still need to be discovered. Therefore, this study examines the influence of personality traits and environmental and situational factors on the development of entrepreneurial intention among young students in Yemen. Data were collected through a survey responded to by 487 final-year university students from two universities (public and private) in Yemen. The study's hypotheses were tested using structural equation modeling (SEM). The study reveals that personality traits of the need for achievement (nAch) and locus of control (LoC) positively correlate with entrepreneurial self-efficacy (ESE) and entrepreneurial intention. Instrumental readiness positively correlates with ESE but not with entrepreneurial intent. The situational factors show a positive association with entrepreneurial intention but not ESE and a positive relationship…

The provision of quality healthcare relies on scales and measures with robust evidence of their psychometric properties. Using measurement instruments with poor reliability, validity, or feasibility, or those that are not appropriate for the target diagnostic group or construct/dimension under consideration, may be unfavorable for patients, unproductive, and hinder empirical advancement. Resources from the COnsensus-based Standards for the selection of health status Measurement INstruments (COSMIN) group can assist in identifying and developing psychometrically sound measures. The COSMIN initiative is the only international, research-based practice taxonomy and methodological guidelines for measurement in healthcare. This manuscript aims to provide an accessible introduction to theories, principles and practices of psychometrics, instrument properties, and scale development, with applied examples from the COSMIN recommendations. It describes why measurement in healthcare is critical to good practice, explains the concepts of the latent variable and hypothetical construct and their…

The research contributions of metaphor as part of (critical) discourse studies have flourished during COVID-19; hence, it is necessary to consider their progress and foresee their future growth. To obtain a comprehensive understanding of COVID metaphor research in discourse and to identify the most recent research foci, bibliometric, network, thematic mapping and word cloud analyses were conducted in this study. The results showed that (1) research on COVID metaphors is largely shaped by Critical Discourse Analysis research approaches and methodologies; (2) the research production has investigated traditional genres such as news and emerging genres, including social media and multimodal data; and (3) research highlights the role played by metaphors in persuasion in public discourse. The findings of this study can assist future research in this or related fields by providing an overview of metaphor research in crisis communication.

Background: Short-form videos have become one of the most popular ways for people to entertain and relax. However, the intense interest in short-form videos has given rise to short-video addiction, which poses risks to both physical and mental health of individuals. Undergraduates are one of the important users for short-form videos, and the influence of short-form video addiction calls for more attention. This study aimed to investigate the association between short-form video addiction and academic procrastination among undergraduates, exploring the role of executive functions (i.e., attentional control) and personality traits (i.e., boredom proneness) in the association. Methods: Using stratified random cluster sampling method, the data of 1,047 college students were used in the study. All variables were measured by empirical instruments, and all instruments were highly reliable. Mediation and moderation analysis was conducted using Model 4 and 7 in PROCESS macro powered by SPSS. Results: Results revealed that short-form video addiction not only directly impacted academic…

Introduction: This systematic review aims to present the characteristics of the recent research in gamified EFL/ESL instruction, benefits and drawbacks of using gamification in EFL/ESL instruction, and gamification elements. Methods: The researchers carried out database search in both Web of Science and the Scopus for relevant articles using 15 related key terms. Finally, forty journal articles aligned with the inclusion criteria. Results: The results found that gamification has been widely utilized in more than ten non-English-speaking countries and various English language skills, which indicated that gamification has gained popularity in facilitating EFL/ESL learning. The benefits of using gamification included improving students' English language skills and abilities, positively affecting students' attitudes and emotional responses, providing an authentic language learning environment and cultivating students' comprehensive competence. The drawbacks of using gamification mainly included the technical problems, short-lived positive effect, and the negative influence caused by the…

Background Effective teamwork and communication are imperative for patient safety and quality care. Communication errors and human failures are considered the main source of patient harm. Thus, team trainings focusing on communication and creating psychologically safe environments are required. This can facilitate challenging communication and teamwork scenarios, prevent patient safety risks, and increase team performance perception. The sparse research concerning communication interventions calls for an understanding of psychological mechanisms. Therefore, this study investigated mechanisms of an interpersonal team intervention targeting communication and the relation of psychological safety to patient safety and team performance perception based on the applied input–process–output model of team effectiveness. Methods Before and after a 4-h communication intervention for multidisciplinary teams, a paper–pencil survey with N = 137 healthcare workers from obstetric units of two university hospitals was conducted. Changes after the intervention in perceived communication, patient…

The terror spread by the war disrupts lives and severs families, leaving individuals and communities devastated. People are left to fend for themselves on multiple levels, especially psychologically. It is well documented that war adversely affects non-combatant civilians, both physically and psychologically. However, how the war puts civilians' lives in a limbo is an under-researched area. This paper focuses on three aspects: (1) how the mental health and well-being of Ukrainian civilians, asylum seekers, and refugees are affected by the war caused limbo; (2) what factors affect this process of being stuck in the limbo of war; and (3) how psychologists and helpers in the war-ridden and host countries can provide meaningful support. Based on the authors' own practical work with Ukrainian civilians, refugees, and professional helpers during the war, this paper provides an overview of multi-level factors that impact human psyches in a war, and possible ways to help those who are living in the war limbo. In this research and experiential learning-based review, we offer some helpful…

Introduction: Game-based learning (GBL) is one of the modern trends in education in the 21st century. Numerous research studies have been carried out to investigate the influence of teaching on the students' academic attainment. It is crucial to integrate the cognitive and affective domains into teaching and learning strategies. This study aims to review journal articles from 2018 to 2022 concerning the influence of GBL in mathematics T&L on the students' cognitive and affective domains. Methods: A research methodology based on PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) was used for the survey on the basis of the Scopus and Web of Science (WOS) databases wherein 773 articles relating to game-based learning (GBL) in mathematics were discovered. Based on the study topic, study design, study technique, and analysis, only 28 open-access articles were chosen for further evaluation. Two types of cognitive domain and five types of affective domain were identified as related to the implications of GBL on the students' T&L of mathematics. Results: The study…

Emotions are an integral part of human life. We know many different definitions of emotions. They are most often defined as a complex pattern of reactions, and they could be confused with feelings or moods. They are the way in which individuals cope with matters or situations that they find personally significant. Emotion can also be characterized as a conscious mental reaction (such as anger or fear) subjectively experienced as a strong feeling, usually directed at a specific object. Emotions can be communicated in different ways. Understanding the emotions conveyed in a text or speech of a human by a machine is one of the challenges in the field of human-machine interaction. The article proposes the artificial intelligence approach to automatically detect human emotions, enabling a machine (i.e., a chatbot) to accurately assess emotional state of a human and to adapt its communication accordingly. A complete automation of this process is still a problem. This gap can be filled with machine learning approaches based on automatic learning from experiences represented by the text…

Natural forests are the habitat of many plant and animal species and are the main source of genetic reserves. In addition to preserving biodiversity, forests play an important role in the livelihood and income of many indigenous communities. But, in the last few decades, due to the lack of proper management of the beneficiaries, they have been exposed to destruction, so that their protection requires the participation of all members of the society, especially the local people. Therefore, the main goal of this research was to discover the determinant factors on the intention of local communities to protect forests in Iran. An extended theory of planned behavior (TPB) by adding the variables of "risk perception" (RP) and "sense of belonging to place" (SBP) was used as the theoretical framework of the research. This research was done using the questionnaire survey method and with the help of structural equation modeling (SEM). The statistical population of this study included all the rural communities living in the Arasbaran forests (located in the northwest of Iran). The research…

Introduction: The stigma of not giving birth to children affects approximately 53. 08~64% of female infertility patients worldwide. This stigma not only causes harm to the mental health of these infertility patients, but also affects their quality of life, making them bear the adverse social consequences such as domestic violence, marriage breakdown, or even delay in receiving the treatment. Therefore, it is crucial to have a deep understanding of the patients' stigma and effective intervention in alleviating it. Aims/Question: This study aims to discuss and summarize the stigma in infertile women and its impact on patients, and to provide a theoretical basis for the clinical treatment and nursing intervention of disease stigma in infertile female patients. Methods: The literature search used four English databases (Cochrane Library, EMBASE, Web of Science, and PubMed) and two Chinese databases (CNKI and Wanfang). The search time of the literature ranges from the establishment of the library to 2022, with no language restriction. Results: The review included 28 studies, with 20…

Although studies aimed at understanding entrepreneurship have analyzed passion, creativity, and entrepreneurial self-efficacy, few studies include these antecedents in the same model. In this sense, this study aims to assess the relationship between passion, self-efficacy, and creativity with entrepreneurial intention. The data was collected through a survey and the questionnaires were applied to university students who formed a sample of 190 respondents, and such data was analyzed using structural equation modeling based on partial least square technique. Regarding our results, the relationship between creativity and entrepreneurial intention has not been confirmed. The multigroup analysis revealed that the level of education influences men's entrepreneurial intention and creativity only influence entrepreneurial intention when mediated by entrepreneurial passion. This study contributes by highlighting the roles of analyzed passion, creativity, and entrepreneurial self-efficacy in entrepreneurs from one of the largest emerging economies in the world. Moreover, it also contributes…

Researchers are increasingly examining whether hope can motivate action on climate change, or conversely, whether it might demotivate such action. We present a meta-analysis (k = 46) of quantitative studies examining the relationships between measures and manipulations of hope with climate engagement. On average, measured hope was associated with greater climate engagement (r = 0.18); however, this effect differed based on the target of hope. Hope regarding the possibility of respondents taking action was particularly strongly associated with greater engagement (r = 0.40), while in contrast, hope grounded in climate change not being a problem was associated with less engagement (r = −0.40). Hope in response to climate change generally, and domain-general hope, were only weakly associated with greater engagement (rs = 0.13, 0.20). On average, hope manipulations fostered increased engagement, though the increase was small (Cohen’s d = 0.08). Subgroup analyses suggested two promising types of hope manipulations warranting future research: personal efficacy (k = 2, d = 0.18) and…

The new decade has been witnessing the wide acceptance of artificial intelligence (AI) in education, followed by serious concerns about its ethics. This study examined the essence and principles of AI ethics used in education, as well as the bibliometric analysis of AI ethics for educational purposes. The clustering techniques of VOSviewer ( n = 880) led the author to reveal the top 10 authors, sources, organizations, and countries in the research of AI ethics in education. The analysis of clustering solution through CitNetExplorer ( n = 841) concluded that the essence of AI ethics for educational purposes included deontology, utilitarianism, and virtue, while the principles of AI ethics in education included transparency, justice, fairness, equity, non-maleficence, responsibility, and privacy. Future research could consider the influence of AI interpretability on AI ethics in education because the ability to interpret the AI decisions could help judge whether the decision is consistent with ethical criteria.

How people engage in leisure is an important but frequently underappreciated aspect of meaning in life. Leisure activities range from highly engaging and meaningful to subjectively trivial. Leisure itself is largely defined by meaning: The essence of leisure lies less in the specific activity than in the subjective perception of freedom, choice, and intrinsic motivation. People desire their lives to be meaningful, and leisure activities offer varying degrees of satisfying the basic needs for meaning (here covered as purpose, value, efficacy, and self-worth). Leisure activities vary along multiple conceptual dimensions, such as active vs. passive, seeking vs. escaping, solitary vs. interpersonal, and we consider the implications of these for meaningfulness. The most common leisure activity in modern society, watching television, encapsulates some of the paradoxes of leisure and meaningfulness. The study of how leisure enhances meaning in life is rich and ripe for future research.

The employee organizational citizenship behavior for the environment (OCBE) contributes to the improvement of the organization's environment, its study is increasing in number. However, the psychological mechanism of promoting employee OCBE is still a missing link. Drawing on the theory of social information processing, this study seeks to establish the impact of green transformational leadership on employee OCBE and the mediating role of green organizational climate in this nexus. In addition, we have integrated environmental concerns to better explain the impact of this differentiation. The results show that: green transformational leadership has a significant positive impact on employee OCBE, and green organizational climate has a mediating effect on the impact of green transformational leadership on employee OCBE. Furthermore, environmental concern not only has a positive moderating effect on the influence of green transformational leadership on green organizational climate, but also positively moderates the impact of the influence of green transformational leadership on…

Today's civilization faces serious challenges related to sustainability. Without the support of society, organizations can no longer continually build their enterprises. The pressure of sustainable development goals are also enhancing on companies. Thus, marketing managers place a strong emphasis on meeting the socio-ethical demands of their target audience, whether it is through cultural promotion, environmental conservation, or disaster relief initiatives. This study explores how sustainable marketing influences the customer engagement and sustainable purchase intention. For data collection, a self-administered questionnaire was distributed to 393 purchasers and potential purchasers of electric vehicles, and a structural equation model (SEM) test was conducted using Mplus 8.0 software. The results of the study showed that: First, the outcome states that sustainable marketing valuable for improving brand image. Second, brand image is good for customer engagement in the Chinese market for electric automobiles. Third, the appeal of sustainable purchasing intentions is increased by…

While this special pandemic period has been seeing an increasing use of blended learning, few studies have meta-analytically reviewed the effectiveness of blended learning in different countries. This meta-analysis summarizes previous studies on blended learning effectiveness in different countries in terms of students' performance, students' attitudes toward blended learning, learning achievement, and student engagement in different countries. Through the meta-analysis via Stata/MP 14.0, it is concluded that blended learning can improve performance, attitude, and achievement in most countries. However, in both China and the USA, blended learning cannot significantly improve student engagement in academic activities. No significant differences were revealed in student performance in the USA between blended and non-blended learning. Future research can extend the research into blended learning to more countries and areas across the world.

Introduction: One of the biggest challenges facing students today is procrastination, which is closely related to stress, anxiety and, in the most severe cases, depression. The aim of the present study is to analyze the influence of academic self-regulation on procrastination, academic anxiety and stress, academic resilience and academic performance. Method: = 17.25; SD = 3.45). A structural equation model was used to analyze the relationship between the study variables. Results: Analyzes showed that academic self-regulation negatively predicted procrastination. In turn, procrastination positively predicted academic stress and anxiety. However, resilience exerted a protective influence by being positively related to academic stress and anxiety. Finally, resilience positively predicted academic performance, whereas stress and anxiety negatively predicted academic performance. Conclusion: Thus, the importance of generating strategies for students to learn to self-regulate in academic contexts, manage emotions, foster motivation and develop strategies to help them overcome the…

The present paper aims to provide the latest perspectives and future directions on the association between emotions and eating behavior. We discussed individual differences in the impact of negative emotions on eating, emotional eating as disinhibited eating decisions with heightened reward values of and sensitivity to palatable foods in response to negative emotions and social isolation, in addition to emotional eating as maladaptive coping strategies under negative emotion and stress, hedonic (pleasure-oriented) eating decisions mediated by the brain reward system, and self-controlled (health-oriented) eating decisions mediated by the brain control system. Perspectives on future directions were addressed, including the development of early eating phenotypes in infancy, shared neural mechanisms mediated by the ventromedial prefrontal cortex and the dorsolateral prefrontal cortex in emotion and eating decision regulation, possible roles of interoception incorporating hunger and satiety signals, gut microbiome, the insula and the orbitofrontal cortex, and emotional processing…

This study aimed to systematically review research findings regarding the relationship between adult friendship and wellbeing. A multidimensional scope for wellbeing and its components with the use of the PERMA theory was adopted. A total of 38 research articles published between 2000 and 2019 were reviewed. In general, adult friendship was found to predict or at least be positively correlated with wellbeing and its components. In particular, the results showed that friendship quality and socializing with friends predict wellbeing levels. In addition, number of friends, their reactions to their friend's attempts of capitalizing positive events, support of friend's autonomy, and efforts to maintain friendship are positively correlated with wellbeing. Efforts to maintain the friendship, friendship quality, personal sense of uniqueness, perceived mattering, satisfaction of basic psychological needs, and subjective vitality mediated this relationship. However, research findings highlighted several gaps and limitations of the existing literature on the relationship between adult…

The benefits of wellness tourism have been recently noted by researchers and industry representatives. This study examined the health dimensions of these benefits posited by a large array of interdisciplinary studies from 2002 up to the present. Open coding was used to conduct an inductive evaluation to classify these health benefits. Results showed four main dimensions, namely, physical fitness, psychological fitness, quality of life (QOL), and environmental health; however, these dimensions need further investigation. Physiological health benefits can also be demonstrated through future experiments, which can further focus on empirical research on the psychological benefits and its overall effect on the QOL. This study contributes to the current literature by providing novel theoretical foundations and subsequently aids practitioners to understand customers better and convey their marketing messages to tourists more effectively.

Introduction: In the context of the burgeoning field of second language (L2) education, where proficient writing plays an integral role in effective language acquisition and communication, the ever-increasing technology development has influenced the trajectory of L2 writing development. Methods: To address the need for enhanced writing skills among English as a Foreign Language (EFL) learners, this study investigates the efficacy of Automated Writing Evaluation (AWE) training. A randomized controlled trial employing repeated measures was conducted, involving a participant pool of 190 Chinese EFL students. The study comprehensively assessed the effects of AWE training, utilizing the Grammarly platform-an AI-driven program-on various dimensions of writing skills, encompassing task achievement, coherence and cohesion, lexicon, and grammatical accuracy. Control variables included writing self-efficacy and global English proficiency. Writing skills were evaluated through the administration of an International English Language Testing System (IELTS) writing sample test. Results: The…

Introduction: Intellectual disability (ID) is a significant limitation in both intellectual ability and adaptive functioning, but many studies of participants with ID only include a measure of overall intellectual functioning when describing their samples. The purpose of this perspective article was to provide a starting point for future research regarding the utility of including measures of both intellectual and adaptive functioning in research focused on ID. In this article, we discuss the differences and similarities between the constructs of intellectual and adaptive functioning, how they are measured, and the benefits of using both measures to describe participant abilities. Data are presented to demonstrate that intellectual and adaptive functioning measures capture separate but related skills in a sample of individuals with ID (i.e., children with Down syndrome [DS]; the leading genetic cause of ID). Methods: Thirty children with DS (7-31 months) were administered the Mullen Scales of Early Learning and their mothers were interviewed using the Vineland Adaptive Behavior…

Given the spread of the COVID-19 pandemic, online classes have received special attention worldwide. Since teachers have a lasting effect on the students, the teacher-student relationship is a pivotal factor in language learning classes. Students will not be engaged in class activities if they are not sufficiently challenged by them or if they do not find them interesting, especially in online classes. From this point of view, motivating, engaging, and testing techniques in online classes are highly important. The present study attempts to demonstrate a correlation between structured feedback and three types of engagement in an online class: cognitive, behavioral, and emotional engagement. The structured feedback, which is used at the end of each lesson lets the students express what they know, what they want to know, and what they learned. The sample of the study consists of 114 EFL third-year college students. The study's findings reveal positive and significant correlations between the three types of engagement; cognitive, behavioral, and emotional, and the use of structured…

Introduction: The theory of planned behavior (TPB) has dominated the limited number of green hotel visitation studies; however, those studies' findings are often inconclusive or even controversial. Thus, research needs to move beyond using the TPB to measure consumers' intention and behavior, and to experiment with alternative theoretical frameworks to explain behavioral change. Value-belief-norm theory of environmentalism (VBN) proposed that various facets of values can influence individuals' beliefs, subsequently effecting their moral obligations, ultimately, their pro-environmental behaviors. Hence, this study aims to examine the relationship between value components (i.e., biospheric, altruistic, collectivistic), beliefs (i.e., explicit and implicit attitude), norms (i.e., social and personal norm), and green purchase intention to visit green hotels. Methods: An online survey of convenience sampling technique was adopted for data collection. A total of 373 valid questionnaires were subjected to descriptive analysis, and confirmatory factor analysis and structural equation…

Objective: Emerging literature suggests contextual factors are important components of therapeutic encounters and may substantially influence clinical outcomes of a treatment intervention. At present, a single consensus definition of contextual factors, which is universal across all health-related conditions is lacking. The objective of this study was to create a consensus definition of contextual factors to better refine this concept for clinicians and researchers. Design: The study used a multi-stage virtual Nominal Group Technique (vNGT) to create and rank contextual factor definitions. Nominal group techniques are a form of consensus-based research, and are beneficial for identifying problems, exploring solutions and establishing priorities. Setting: International. Main outcome measures: The initial stages of the vNGT resulted in the creation of 14 independent contextual factor definitions. After a prolonged discussion period, the initial definitions were heavily modified, and 12 final definitions were rank ordered by the vNGT participants from first to last. Participants: The…

Background Psychiatric nurses need to keep close contact with patients suffering from mental illness. Because of the special nature of their profession, there is an increasing incidence of job burnout among psychiatric nurses. Aim This study examined the relationship between psychiatric nurses’ perceived organizational support, job burnout, and psychological capital. It also investigated the mediating role of psychological capital in the relationship between their perceived organizational support and job burnout. Methods A total of 916 psychiatric nurses were recruited from 6 grade-III mental facilities in Shandong Province using the stratified sampling approach. Their data were collected and examined using a general demographic data questionnaire, The Maslach Burnout Inventory, the Perceived Organizational Support Scale, and the Psychological Capital Questionnaire. Results The total score of job burnout was 53.71 ± 16.37. Specifically, 73.69% of the nurses had moderate to severe emotional exhaustion, 76.75% had moderate to severe job burnout pertaining to depersonalization, and…

Introduction: In this qualitative study, we examine digital leadership (DL) capabilities and their positive influence on the management of technology-driven change by leveraging service innovations. The context of digital transformation (DT) has triggered a new leadership paradigm, among others referred to as digital leadership (DL). However, despite its practical relevance, leadership research has yet paid little attention to conceptualise DL as an approach to digitally transform organisations. Methods: Drawing on mid- and top-level mangers' experiences with service innovation projects, and based on Grounded Theory, we develop a taxonomy of DL-related capabilities and a conceptual framework which exemplifies their influences on dynamic service innovation capabilities (DSICs). DSICs build on the dynamic capabilities view (DCV) and represent the "organisational muscle" to repeatedly deliver service innovations indicating an effective management of technology-driven change. Results and Discussion: Taxonomy results show that aggregated dimensions in terms of a digital leader's…

Introduction: Previous research often examined gender stereotypes in leadership with ratings on predetermined gendered characteristics concerning leaders' agency and communality (i.e., explicit measures). The aim of the present study was to broaden the understanding of gender stereotypes in leadership by taking more subtle approaches, that focus on what men and women actually ascribe to typical, male, and female leaders and how they implicitly evaluate them. Methods: An online survey collected (a) free associations which reflect social representations (e.g., dominant, empathic), (b) evaluations of the given associations as negative, neutral, or positive, and (c) ratings on Peabody's semantic differential combining non-gendered adjective pairs to an evaluative component of a typical leader, a male leader, and a female leader. Results: Using the approach of social representations by analyzing 2,842 free associations from 194 participants shows the predominant gender stereotypes. Ratings of the free associations revealed that women evaluate characteristics associated with female…

Introduction One-way repeated measures ANOVA requires sphericity. Research indicates that violation of this assumption has an important impact on Type I error. Although more advanced alternative procedures exist, most classical texts recommend the use of adjustedF-tests, which are frequently employed because they are intuitive, easy to apply, and available in most statistical software. AdjustedF-tests differ in the procedure used to estimate the corrective factorε, the most common being the Greenhouse-Geisser (F-GG) and Huynh-Feldt (F-HF) adjustments. Although numerous studies have analyzed the robustness of these procedures, the results are inconsistent, thus highlighting the need for further research. Methods The aim of this simulation study was to analyze the performance of theF-statistic,F-GG, andF-HFin terms of Type I error and power in one-way designs with normal data under a variety of conditions that may be encountered in real research practice. Values ofεwere fixed according to the Greenhouse–Geisser procedure ( ε̂ ). We manipulated the number of repeated measures (3, 4,…

Neurodevelopmental Disorders (NDDs) represent a significant healthcare and economic burden for families and society. Technology, including AI and digital technologies, offers potential solutions for the assessment, monitoring, and treatment of NDDs. However, further research is needed to determine the effectiveness, feasibility, and acceptability of these technologies in NDDs, and to address the challenges associated with their implementation. In this work, we present the application of social robotics using a Pepper robot connected to the OpenAI system (Chat-GPT) for real-time dialogue initiation with the robot. After describing the general architecture of the system, we present two possible simulated interaction scenarios of a subject with Autism Spectrum Disorder in two different situations. Limitations and future implementations are also provided to provide an overview of the potential developments of interconnected systems that could greatly contribute to technological advancements for Neurodevelopmental Disorders (NDD).

Mild cognitive impairment (MCI), representing the 'transitional zone' between normal cognition and dementia, has become a novel topic in clinical research. Although early detection is crucial, it remains logistically challenging at the same time. While traditional pen-and-paper tests require in-depth training to ensure standardized administration and accurate interpretation of findings, significant technological advancements are leading to the development of procedures for the early detection of Alzheimer's disease (AD) and facilitating the diagnostic process. Some of the diagnostic protocols, however, show significant limitations that hamper their widespread adoption. Concerns about the social and economic implications of the increasing incidence of AD underline the need for reliable, non-invasive, cost-effective, and timely cognitive scoring methodologies. For instance, modern clinical studies report significant oculomotor impairments among patients with MCI, who perform poorly in visual paired-comparison tasks by ascribing less attentional resources to novel stimuli. To…

Over the past two decades, various digital technologies have been applied to sustain higher education. As the latest emerging information technology, the metaverse has been a recurring theme to be considered as a new direction to promote blended English learning. This study aims to investigate metaverse-based blended English learning. Through a systematic review based on bibliographic and content analysis, the study attempts to integrate the evidence to generate a model that links the education-based metaverse. The metaverse platforms in which learners' academic success can be significantly enhanced due to a high degree of learner engagement in immersive virtual environments. In addition, the virtual learning experience is restricted by the degree of digital literacy at the same time. To improve instructors' and learners' digital literacy levels, necessary support is indispensable by educational institutions and designers of the metaverse platforms. Meanwhile, this study addresses potential challenges that may hinder sustaining metaverse-based blended English learning, and provides…

Businesses must respond to the ecology in which they operate. Especially the rapid transformation of technology has increased the degree of dependency on the system. The main reason for this is perceived only as the technology costs brought by digital transformation. However, we understand from the bankruptcy of economically strong companies that this is not the real problem. This study looks at it from the perspective of leadership, which is an important skill for businesses. The research focuses on leadership roles needed to adapt to digital transformation. At this point, the roles of digital leadership and its contribution to businesses were investigated. At this point, we try to reveal the role of digital leadership with two different qualitative analyzes. In the research, semi-structured interviews were conducted with senior managers, phenomenological and content analysis was performed using Nvivo and MAXQDA qualitative analysis programs, and relevant confidential information was revealed. As a result of the research, it has been determined that there is an important link…

Since the fourth industrial revolution, intelligent software and applications that attempt to mimic human behavior have become increasingly common. The chatbot is an example of an artificial intelligence-based computer program that simulates human behavior by having a conversation and interacting with users using natural language. The implementation of chatbot technology in the educational context is still in its nascent stage, and further investigation into measuring its effectiveness in supporting learning and teaching processes is required, particularly in the context of higher education. Thus, this study presents the design and implementation of a task-oriented chatbot, that is embedded into the WhatsApp application, called Bashayer. It aims at supporting postgraduate students' motivation and learning strategies in Saudi Arabia. A quasi-experimental design with a single-subject experimental approach was adopted with a sample of 60 Saudi postgraduate students. The descriptive analysis of the collected data showed promising results of postgraduate students utilized the Bashayer…

Although academic self-concept plays a crucial role in promoting students' education, there is a paucity of studies simultaneously exploring the gender-moderated effects of academic self-concept. This study aimed to explore gender-moderated effects of academic self-concept on achievement, motivation, performance, and self-efficacy. With Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocol (PRISMA-P) and STARLITE criteria, this study screened and assessed the retrieved literature, finally including 53 studies. It was concluded that academic self-concept exerted a positive influence on improving achievement, enhancing motivation, ameliorating performance, and boosting self-efficacy. It should also be noted that interrelations between academic self-concept and other educational constructs may be much more complicated than expected since gender disparities may moderate the effects of academic self-concept. Gender discrepancies in academic self-concept could account for the gap between male students and female students in subject-specific achievement, motivation,…

Virtual reality (VR) has become a popular tool for investigating human behavior and brain functions. Nevertheless, it is unclear whether VR constitutes an actual form of reality or is more like an advanced simulation. Determining the nature of VR has been mostly achieved by self-reported presence measurements, defined as the feeling of being submerged in the experience. However, subjective measurements might be prone to bias and, most importantly, do not allow for a comparison with real-life experiences. Here, we show that real-life and VR height exposures using 3D-360° videos are mostly indistinguishable on a psychophysiological level (EEG and HRV), while both differ from a conventional 2D laboratory setting. Using a fire truck, three groups of participants experienced a real-life (N = 25), a virtual (N = 24), or a 2D laboratory (N = 25) height exposure. Behavioral and psychophysiological results suggest that identical exogenous and endogenous cognitive as well as emotional mechanisms are deployed to process the real-life and virtual experience. Specifically, alpha- and theta-band…

Workplace coaching has experienced a dramatic rise in popularity over the past decade and is one of the fastest growing performance-enhancing interventions used by modern organizations. Yet, despite its popularity, workplace coaching has not been the subject of much empirical research and a true science of coaching has yet to be developed. The purpose of this research was to update prior meta-analyzes that investigated the impact of coaching on organizational outcomes and to provide recommendations for how the field needs to evolve. Results indicated that, consistent with prior meta-analyzes, workplace coaching is effective in achieving positive organizational outcomes. The effects of several moderators were also investigated. Finally, we discuss the results in terms of recommendations for future directions that we believe will establish and advance the science of coaching .

Objective Emotion regulation is an adaptive ability affecting people’s physical and mental health, quality of life and functioning. In the present study we focused on the influence of the intensity of experienced emotions on emotion regulation strategies (ERS) that are applied in everyday life. Methods For 7 days the participants kept an online diary where every day they described the situation which had aroused their strongest negative emotions. Next, they identified the emotions, their intensity and the type of applied strategies (acceptance vs. reappraisal vs. rumination vs. distraction vs. suppression). The study involved 88 peopleN= 88, which gives 538 observations. Results The obtained results indicate that the intensity of emotions affects the choice of regulation strategies. When the intensity increases, people are more likely to choose the rumination strategy and less likely to choose the reappraisal strategy. However, the expected relationship between the intensity and the number of regulation strategies was not confirmed. In turn, it was gender (male) that turned out to…

Objective: The current study has the aim of investigating teachers' views about their self-efficacy and how they improve their self-efficacy beliefs during teaching practice. Methods: The study was designed in a mixed methods research design. "Teacher's Self-Efficacy Scale," "Personal Information Form" and "Semi-structured Interview Form" were employed in the study. The quantitative data were collected from 379 teachers in public schools in the 2021-2022 academic year, whereas the qualitative data were obtained from the top 10 participants with the highest level of self-efficacy. Results and Discussion: Based on the qualitative and quantitative results of the present study, it was revealed that teachers' self-efficacy levels were high, and they felt self-efficient in their teaching.The study is of great importance since determining teachers' opinions about their self-efficacy beliefs and how they improve their self-efficacy beliefs in the solution of the problems they encountered during teaching practice will not only raise awareness of the importance of self-efficacy in teaching…

Technostress is a psychosocial phenomenon associated with the use of technologies to the detriment of health, the same one that during the pandemic was accelerated in the work considering home confinement. This work aims to systematize the main research on the impact of technostress at work during the severe confinement stage of the pandemic, between the years 2020 and 2021, with the purpose of identify and evaluate its main determining factors. A systematic review of the literature was carried out during COVID-19, using the words "technostress work COVID-19." The works found focus mainly on analyzing the creators and inhibitors of technostress in workers, as well as the main consequences of the materialization of this technological risk associated with work performance during the stage of confinement by COVID-19. Techno invasion and techno overload were identified as the main techno stressors, with the main type of technostress appreciated in the literature being techno fatigue. Technostress is identified as a problem that had direct and relevant effects during the season of severe…

Objective: This study aimed to evaluate the effect of an exercise intervention on improving and alleviating anxiety symptoms in college students with a meta-analytical approach. Methods: Several databases (e.g., PubMed, Embase, and the Cochrane Library) were used to search for randomized controlled trials (in short, RCTs) on interventions for physical exercise or aerobic exercise in college students with anxiety symptoms. Stata software, version 16.0, was applied sequentially for traditional meta-analysis, subgroup analysis, and publication bias analysis. Results: < 0.001)] indicated that physical activity had a significant effect on alleviating anxiety. Subgroup analysis also showed that exercise interventions using aerobic exercise or yoga were effective in relieving anxiety (SMD = -0.39, 95% CI = -0.74 to -0.04; SMD = -0.76, 95% CI = -1.14 to -0.39). Conclusion: Physical activity interventions were shown to have a positive effect on alleviating anxiety in college students. Aerobic exercise was found to be the optimal mode.

Introduction: This study employed an explanatory sequential design to examine the impact of utilizing automatic speech recognition technology (ASR) with peer correction on the improvement of second language (L2) pronunciation and speaking skills among English as a Foreign Language (EFL) learners. The aim was to assess whether this approach could be an effective tool for enhancing L2 pronunciation and speaking abilities in comparison to traditional teacher-led feedback and instruction. Methods: A total of 61 intermediate-level Chinese EFL learners were randomly assigned to either a control group (CG) or an experimental group (EG). The CG received conventional teacher-led feedback and instruction, while the EG used ASR technology with peer correction. Data collection involved read-aloud tasks, spontaneous conversations, and IELTS speaking tests to evaluate L2 pronunciation and speaking skills. Additionally, semi-structured interviews were conducted with a subset of the participants to explore their perceptions of the ASR technology and its impact on their language learning experience.…

Introduction: Interest in interactive virtual reality (IVR) is increasing due to its potential for embodied learning and group-led teaching. However, few studies have investigated the internal mechanism by which IVR technology features and learning experiences affect learning outcomes in terms of psychological and emotional value. Based on media technology models and the control value theory of achievement emotions (CVTAE), this study uses structural equation modeling (SEM) to investigate the correlations among the internal elements of IVR technology features, learning experiences, and learning outcomes. It also emphasizes the role played by emotional experience in this context. Methods: The sample referenced by this study consisted of 480 college students (193 males) who were simultaneously engaged in guided inquiry and learning in an IVR-based COVID-19 pandemic science museum in groups of 10. Results: The findings suggest that presence and perceived enjoyment have a key mediating effect on the relationship between virtual reality (VR) features and perceived learning outcomes in an…

Introduction: The present study aimed to examine the effects of online game addiction on reduced academic achievement motivation, and the mediating role of learning engagement among Chinese college students to investigate the relationships between the three variables. Methods: The study used convenience sampling to recruit Chinese university students to participate voluntarily. A total of 443 valid questionnaires were collected through the Questionnaire Star application. The average age of the participants was 18.77 years old, with 157 males and 286 females. Statistical analysis was conducted using SPSS and AMOS. Results: (1) Chinese college students' online game addiction negatively affected their behavioral, emotional, and cognitive engagement (the three dimensions of learning engagement); (2) behavioral, emotional, and cognitive engagement negatively affected their reduced academic achievement motivation; (3) learning engagement mediated the relationship between online game addiction and reduced academic achievement motivation.

Background: The Ten-Item Personality Inventory (TIPI) is a brief instrument designed to assess the five-factor model (FFM) personality dimensions. It was specifically developed to provide a brief assessment option in situations where using more comprehensive FFM instruments would be unfeasible. The TIPI enjoys widespread use and has been translated into several different languages. Objective: The aim of this scoping review was to generate an overview of different versions of the TIPI, and their psychometric properties in terms of two aspects of validity (convergent and structural) and two aspects of reliability (internal consistency and test-retest reliability). Methods: Four databases (PsycINFO, PubPsych, Medline, and Web of Science) were searched for studies exploring psychometric properties of the TIPI (original and/or translated or revised versions), published in English as full-text original research articles. Additionally, manual searches were conducted on the official TIPI website and in reference lists. Studies who utilized the TIPI simply as a measure, without an aim of…

The unique characteristics of games have led scientific research to increasingly focus on their potential role in learning processes. Currently, their effectiveness in fostering experiential learning and skill acquisition in several areas is already supported by the existing evidence, mainly about the potential of digital games. Paradoxically, the current post-digital era seems to have led to a growing popularity of analog games. The present Systematic Literature Review aimed to map the existing literature on the potential of board, tabletop, or other analog games in learning processes. It intended to systematize the contemporary state of the art (2012-2022) around the pedagogical role of these games, their effectiveness, the promoted learning outcomes, the methodological aspects of the interventions, the used games-including mechanics and other characteristics-and the current discussions around inclusion and accessibility in analog game-based learning. Adopting the PRISMA methodology, we searched ACM Digital Library, EBSCO, ERIC, Scopus-Elsevier, and Web of Science databases, as…

Exposure to intimate partner violence (IPV), including physical, sexual, and psychological violence, aggression, and/or stalking, impacts overall health and can have lasting mental and physical health consequences. Substance misuse is common among individuals exposed to IPV, and IPV-exposed women (IPV-EW) are at-risk for transitioning from substance misuse to substance use disorder (SUD) and demonstrate greater SUD symptom severity; this too can have lasting mental and physical health consequences. Moreover, brain injury is highly prevalent in IPV-EW and is also associated with risk of substance misuse and SUD. Substance misuse, mental health diagnoses, and brain injury, which are highly comorbid, can increase risk of revictimization. Determining the interaction between these factors on the health outcomes and quality of life of IPV-EW remains a critical need. This narrative review uses a multidisciplinary perspective to foster further discussion and research in this area by examining how substance use patterns can cloud identification of and treatment for brain injury and IPV. We…

Based on the Stimulus-Organism-Response (S-O-R) model, this paper studies the impulsive consumption mechanism of consumers participating in livestreaming e-commerce from the perspectives of information source characteristics and social presence and examines the mediating effect of flow experience and the moderating effect of time pressure. Based on the consumption data of 268 live shoppers, multiple regression analysis and Bootstrap method were used to test the research hypothesis. The empirical results show that the credibility, professionalism, attractiveness, and interactivity of live information sources have significant positive impacts on consumers' flow experience and impulsive consumption intention. Furthermore, coexistence, communication and emotional presence of social presence have a significant positive impact on consumers' flow experience and impulsive consumption intention. Flow experience plays part of the mediating role in the process of the characteristics of livestreaming information sources and social presence affecting consumers' impulsive consumption intention,…

Background: Although the mental health benefits of exposure to simulated natural environments are well established by researchers from environmental psychology, landscape architecture, and public health, it is unclear whether and to what extent technological immersion affects these benefits. Methods: Systematical literature searches were conducted in May 2022 from six databases. The risk of bias was evaluated using the Cochrane's Risk of Bias tool 2.0 and the Risk of Bias in Non-randomized Studies of Interventions tool. We performed a random-effects meta-regression to investigate the heterogeneity. The immersion levels of included studies were classified by projection devices and motion capture, and then subgroup analysis was conducted. Results: Twenty-six publications were included. Exposure to simulated nature was confirmed to be associated with increased positive affect 0.40 [95% confidence interval (CI): 0.22, 0.58], vigor 0.58 (95% CI: 0.30, 0.86), calmness 0.54 (95% CI: 0.17, 0.92) and decreased perceived stress -0.38 (95% CI: -0.71, -0.06), total mood disturbance -0.87 (95%…

Emotions are attracting growing attention in second language acquisition (SLA), especially with the advent of positive psychology (PP). The fundamental role of emotions in affecting learners' second language (L2) achievement has been well-documented. Evidence also indicates that emotions can significantly influence learners' L2 learning engagement which profoundly impacts their academic performance. However, the links between emotions, engagement, and L2 achievement remain underexplored. To contribute to this research domain, the present study sought to unpack the relationships between learners' emotions, such as foreign language enjoyment (FLE), foreign language classroom anxiety (FLCA), and foreign language learning boredom (FLLB), and engagement as well as their English achievement. A total of 907 learners of English as a foreign language (EFL) from a university in China were recruited to complete an online questionnaire. Structural equation modeling (SEM) was performed to test the hypothesized relations among the variables. Results revealed correlations between learners' FLE,…

Background: Short videos play a key role in the process of tourism destination promotion, and attractive short videos can bring tourist flow and economic income growth to tourist attractions. Many tourist attractions in China have achieved remarkable success through short video promotion. Purpose: short tourism videos in order to shed light on tourism destination strategy and facilitate adaptation to market development trends. Methods: This study developed a conceptual model by extending the stimulus-organism-response (SOR) model with technology acceptance factors (perceived usefulness, perceived ease of use) and short video factors (perceived enjoyment, perceived professionalism, perceived interactivity) to examine users' tourism intention. A convenience random sampling technique was used to distribute the questionnaire in Chinese city of Nanjing. Four hundred twenty-one respondents participated in the questionnaire, with 395 providing valid data. Results: The results of the SEM analysis show that all posed hypotheses (Perceived professionalism - > Telepresence, Perceived…

Introduction: This study delves into the intricate synergy between teacher mindfulness and the quality of teacher-student relationships, with a specific and deliberate focus on the mediating influence of emotional intelligence. The way teachers engage with their students not only impacts the learning outcomes but also contributes significantly to the overall classroom atmosphere. Understanding the underlying mechanisms that drive these relationships is crucial for educators and policymakers alike. This research seeks to shed light on these critical dynamics. Methods: To investigate this multifaceted interplay, a participant pool of 369 Chinese English teachers was assembled. The research employed a comprehensive approach to data collection, utilizing self-report questionnaires completed by the instructors. Structural equation modeling, a robust statistical technique, was employed to rigorously analyze the collected data. Results: The data analysis unveiled a robust and direct association between teacher mindfulness and the quality of teacher-student relationships. Beyond this…

Objective Given growing interest in companion robots to mitigate loneliness, large-scale studies are needed to understand peoples’ perspectives on the use of robots to combat loneliness and attendant ethical issues. This study examines opinions about artificial companion (AC) robots regarding deception with dementia and impact on loneliness. Methods Data are from a survey of 825 members of the OHSU Research via Internet Technology and Experience cohort (response rate = 45%). Sixty percent ( n = 496) of the age diverse sample (range = 25–88; M = 64; SD = 13.17) is over 64, allowing us to compare across age and consider current and future older adults. Ordinal logistic regressions examined relationships between age, health, and other socio-demographic characteristics and perceptions of impact on loneliness and comfort with deception. Results Most participants (68.7%) did not think an AC robot would make them feel less lonely and felt somewhat-to-very uncomfortable (69.3%) with the idea of being allowed to believe that an artificial companion is human. In adjusted models, one…

This study mainly verified the influences of personality traits on students' academic achievements and assessed the mediating effects of major identity and self-efficacy, under the classical model of chain mediating effects, with the data of business major students. The results show that both extraversion and conscientiousness have positive total effect on students' academic achievements, and they are mainly realized through the chain mediating effects of self-efficacy and major identity to self-efficacy, and are mainly based on self-efficacy mediating effect, which is more obvious in the dimension of behavioral efficacy. Openness also affects academic achievement through a self-efficacy mediating effect and major identity to self-efficacy chain mediating effect, but the degree of influence is weak, and the total effect is not significant; the overall effect of agreeableness personality on academic achievement is negative, and it is mainly reflected through direct effect. This finding suggests that academic achievement does not reflect students' team ability and performance.

Introduction: Within the technological development path, chatbots are considered an important tool for economic and social entities to become more efficient and to develop customer-centric experiences that mimic human behavior. Although artificial intelligence is increasingly used, there is a lack of empirical studies that aim to understand consumers' experience with chatbots. Moreover, in a context characterized by constant population aging and an increased life-expectancy, the way aging adults perceive technology becomes of great interest. However, based on the digital divide (unequal access to technology, knowledge, and resources), and since young adults (aged between 18 and 34 years old) are considered to have greater affinity for technology, most of the research is dedicated to their perception. The present paper investigates the way chatbots are perceived by middle-aged and aging adults in Romania. Methods: = 235). The timeframe of the study is May-June 2021. Thus, the COVID-19 pandemic is the core context of the research. A covariance-based structural equation modelling…

There is a growing body of research on trust in driving automation systems. In this paper, we seek to clarify the way trust is conceptualized, calibrated and measured taking into account issues related to specific levels of driving automation. We find that: (1) experience plays a vital role in trust calibration; (2) experience should be measured not just in terms of distance traveled, but in terms of the range of situations encountered; (3) system malfunctions and recovery from such malfunctions is a fundamental part of this experience. We summarize our findings in a framework describing the dynamics of trust calibration. We observe that methods used to quantify trust often lack objectivity, reliability, and validity, and propose a set of recommendations for researchers seeking to select suitable trust measures for their studies. In conclusion, we argue that the safe deployment of current and future automated vehicles depends on drivers developing appropriate levels of trust. Given the potentially severe consequences of miscalibrated trust, it is essential that drivers incorporate…

Introduction: Resilience has been identified as a dynamic process that provides capabilities to face adversity. Considering the many protective factors involved in resilience and that the school is a key context to promote resilience, this review aimed to examine the effect of school-based interventions on resilience in adolescents. Methods: A systematic literature review and meta-analysis were conducted in July 2021 on four databases. The risk of bias was assessed using the Cochrane risk of bias tool. Random-effects meta-analysis was used to obtain pooled estimates. Stratified analyses were done according to population type (general, at risk), intervention type, and follow-up assessments. Results: Of the 1,667 articles obtained, 27 were included in the systematic review and 16 in the meta-analysis. The random effects indicated a significant increase in resilience after the intervention [SMD = 0.58, 95% CI (0.29-0.87)]. Subgroup analysis showed effectiveness only in the population at risk [SMD = 1.28, 95% CI (0.53-2.03)] and early adolescence [SMD = 1.28, 95% CI (0.42-2.14), PI…

The coronavirus disease 2019 (COVID-19) pandemic has influenced all aspects significantly, and an estimated 1.5 billion students across the globe have been forced to keep up with online courses at home. Many recent empirical studies reported the prevalence of mental health problems among students caused by remote learning during the COVID-19 pandemic, but a few studies aggregated these results. Therefore, to strengthen statistical power, the article aimed to examine the prevalence of anxiety, depression, and stress among remote learning students during the COVID-19 pandemic via a meta-analysis. A total of 36 original articles have been selected from five academic databases, including Web of Science, PubMed, Scopus, EBSCO, and Google Scholar, covering 78,674 participants in 19 nations, and yielding 60 effect sizes (22 for anxiety, 17 for depression, and 21 for stress) based on the random effects model via Comprehensive Meta-Analysis (CMA) software. The results showed that the prevalence of anxiety, depression, and stress among remote learning students during the COVID-19 pandemic was…

Background Individuals’ relationships are characterized by multidimensional aspects and the unique make-up of different features is more or less supportive of physical and mental health. The current study derived social network types based on an extended set of indicators reflecting the structure, function, and quality of relationships, then examined their associations with diverse physical and mental health outcomes separately for men and women. Methods Using samples of 620 South Korean adults (Mage = 53.52), Latent Profile Analysis (LPA) was used to uncover distinct social network types, and multiple regression analyses were conducted to examine the link between network types and health outcomes. Results LPA analysis derived four network types: diversified, family-(un)supported, friend- based, and restricted. The prevalence and configuration of network types differed between men and women: the family-unsupported type was more prevalent in women than in men whereas the restricted type was more prevalent in men than in women. An individual’s network type membership was significantly…

The immense increase in metaphor theory and research over the past decades is posing a threat of fragmentation to the field, which has been responded to by calls for new and more encompassing approaches to virtually all aspects metaphorical. This article argues that the opposite response may be more productive. By focusing on a different way of theorizing metaphor and its comprehension, existing theories and data can be re-ordered in an alternative and coherent way, which moreover breaks new grounds in tying up both with a general theory for all utterance comprehension as well as a general theory for all cognition as involving fast and slow thinking. The core of the new theory highlights the differentiation between deliberate and non-deliberate metaphor use, related to how people see the use of a metaphor as a metaphor in communication, that is, as a metaphor that counts as a metaphor between language users. It shows how this distinction can be employed to make sense of many insights about metaphor and its comprehension in innovative ways. The article outlines the foundations of the…

Introduction: There is increasing recognition of the mental health burden of climate change and the effects on general well-being, even in those who have not (yet) experienced direct impacts. Climate anxiety, which is prominent among young people in particular, describes a state of heightened distress about the (future) effects of climate change. Despite evidence of a link between engagement in climate change issues and heightened climate anxiety, there is a dearth of knowledge on how this affects emerging professionals preparing for careers in the environmental sector. Furthermore, there is a paucity of literature regarding the extent to which young adults are coping with their thoughts and feelings about climate change, and the extent to which they consider climate change in making future plans. Methods: The aim of this study was to understand the occurrence and personal management of climate anxiety in UK university students through an online questionnaire. This study was the first to investigate the association between climate anxiety, coping strategies and future planning in…

This mini-review aims to identify major research trends, models, and theories and provide specific pedagogical implications for teaching when using chatbots in EFL classes. This study follows the guidelines of the PRISMA methodology and searches for open-access empirical studies in two reputable databases, Web of Science and Scopus. The results of this mini-review confirm the findings of other research studies, which show that the present research on the use of chatbots in university EFL settings focuses on their effectiveness, motivation, satisfaction, exposure, and assessment. The key contribution of this study lies in its evaluation of the chatbot's potential in applying and integrating the existing theories and concepts used in EFL teaching and learning, such as CEFR, mind mapping, or self-regulatory learning theory. This will address the gap in the literature because no previous review study has conducted such an analysis. Overall, the findings of this mini-review contribute with their specific pedagogical implications and methods to the effective use of chatbots in the EFL…

Objectives Mental health problems among university students are a cause of widespread concern. Mindfulness-based interventions (MBIs) delivered online have considerable potential to help university students manage mental health challenges. However, there is no consensus regarding the efficacy of online MBIs. This meta-analysis aims to determine whether MBIs are feasible and effective for improving university students’ mental health. Methods Randomised controlled trials (RCTs) in Web of Science, PubMed, Cochrane Library, Embase and the US National Library of Medicine (Clinical Trial Registry) published through August 31, 2022, were searched. Two reviewers selected the trials, conducted a critical appraisal, and extracted the data. Nine RCTs met our inclusion criteria. Results This analysis showed that online MBIs were effective in improving depression (standardised mean difference [SMD] = −0.27; 95% confidence interval [CI], −0.48 to −0.07; P = 0.008), anxiety (SMD = −0.47; 95% CI, −080 to −0.14; P = 0.006), stress (SMD = −0.58; 95% CI, −0.79 to −0.37; P < 0.00001), and mindfulness…

Introduction Cooperative learning methods are particularly interesting for building more inclusive schools; however, they have not been widely implemented. Among cooperative learning methods, the Jigsaw strategy is attractive for teachers, as it seems to be easy to implement and follow its four-step teaching structure; in addition, this method is believed to improve students' socialization and learning. To identify the effects of the Jigsaw method accurately, a systematic review of studies that have tested the effects of this method on important student educational outcomes was proposed and completed using a meta-analytical approach. Methods A total of 69 Jigsaw studies were analyzed, and three major outcomes were retained following inductive and deductive thematic analyses: learning (including achievement and motivation), social relations, and self- esteem (including academic self-esteem and social self-esteem). When possible, complementary meta-analyses were conducted to quantify the Jigsaw effects on achievement (n = 43), motivation (n = 5), social relations (n = 4), and academic…

Background: Life satisfaction as well as job satisfaction of teachers has a significant impact on educational outcomes. Objective: To evaluate a model of factors predicting life satisfaction through the mediating role of job satisfaction. Methods: This was a cross-sectional study, with a sample of 300 primary school teachers of both sexes (68% female, 32% male) and with a mean age of 42.52 years (SD = 10.04). They were administered the General Self-Efficacy Scale, the Satisfaction with Life Scale (SWLS), the Workload Scale (ECT), the Generic Job Satisfaction Scale, and the Organizational Commitment Questionnaire (OCQ). Structural equation modeling (SEM) was used for data analysis. Results: = <0.001; CFI = 0.99, TLI = 0.98, RMSEA = 0.05, SRMR = 0.04). Specifically, self-efficacy and organizational commitment were positive predictors of job satisfaction, while workload was a negative predictor of job satisfaction. The mediating effect of job satisfaction between self-efficacy, life satisfaction, workload, and overall life satisfaction was confirmed. Conclusion: The results confirm the…

The ubiquitous nature of emotional intelligence, as a central theme in every aspect of our lives-be it at work, school, or home-coupled with the growing prevalence of digital interactions, makes it fundamental to develop our understanding of emotional intelligence in a digital world. However, the digital world represents more than just a contextual factor to consider, as interactions in digital environments require digital competence. The objective of this paper is to conceptualize "digital emotional intelligence" as the integration of both emotional intelligence and digital competence. The model we propose posits that trait emotional intelligence predicts attitudes toward digital competence, while digital ability emotional intelligence is predicted by digital competence skills and digital competence knowledge. Using a self-reported questionnaire on 503 respondents, a structural equation model highlights a positive relationship between trait emotional intelligence and attitudes toward digital competence.

Because of the importance of positive emotions in second language (L2) acquisition, researchers have undertaken studies to investigate L2 learners' emotions. Nevertheless, L2 teachers' emotions still require more scholarly attention. Against this backdrop, we sought to test a model of teachers' growth mindset, teaching enjoyment, work engagement, and teacher grit among English as a foreign language (EFL) teachers. To this end, 486 Chinese EFL teachers volunteered to partake in an online survey and completed the questionnaires of the four constructs in question. Confirmatory factor analysis was performed to ensure the construct validity of the used scales. Then structural equation modeling (SEM) was used to test the hypothesized model. SEM results indicated that teaching enjoyment, teacher grit, and growth mindset directly predicted EFL teachers' work engagement. In addition, teaching enjoyment affected work engagement indirectly via the mediation of teacher grit. Likewise, teacher grit mediated the effect of growth mindset on teachers' work engagement. Finally, the implications of…

We studied the relationships between entrepreneurship education and entrepreneurial intention among college students, with a focus on the mediating role of an entrepreneurial mindset as well as the moderating roles of learning motivation and prior entrepreneurial exposure. More than 90,000 students from 100 colleges or universities participated in the investigation, the data were subjected to structural equation modeling with Mplus. The results indicated that entrepreneurship education (curriculum attendance and extracurricular activity) significantly enhanced the entrepreneurial mindset of students, which, in turn, strengthened their entrepreneurial intention. In terms of learning, intrinsic motivation positively moderated the relationships between curriculum attendance and entrepreneurial intention/mindset, whereas extrinsic motivation moderated it negatively. Entrepreneurial exposure positively moderated the correlation between extracurricular activity and academic performance. Implications concerning the adjustment of entrepreneurship education to the entrepreneurial climate are…

Music Performance Anxiety (MPA) is one of the most widespread and debilitating challenges facing musicians, affecting significant numbers of performers in terms of both their personal and professional functioning. Although numerous interventions exist to target MPA, its prevalence remains unchanged since the first large-scale studies of the 1980s, indicating that available interventions are having limited impact. This review synthesizes and critiques existing literature in order to investigate possible reasons for the limited efficacy of current approaches to managing MPA. Key concepts discussed include conceptual and methodological challenges surrounding defining MPA, theoretical perspectives on MPA's etiology and manifestation, and the coping strategies and interventions used to manage MPA. MPA has predominantly been investigated pathologically and defined as a negative construct manifesting in unwanted symptoms. Based on this conceptualization, interventions largely seek to manage MPA through ameliorating symptoms. This review discusses possible reasons why this approach has…

Despite the widespread availability of artificial intelligence (AI) products and services, consumer evaluations and adoption intentions have not met expectations. Existing research mainly focuses on AI's instrumental attributes from the consumer perspective, along with negative impacts of AI failures on evaluations and willingness to use. However, research is lacking on AI as a collaborative agent, investigating the impact of human-AI collaboration on AI acceptance under different outcome expectations. This study examines the interactive effects of human-AI collaboration types (AI-dominant vs. AI-assisted) and outcome expectations (positive vs. negative) on AI product evaluations and usage willingness, along with the underlying mechanisms, from a human-AI relationship perspective. It also investigates the moderating role of algorithm transparency in these effects. Using three online experiments with analysis of variance and bootstrap methods, the study validates these interactive mechanisms, revealing the mediating role of attribution and moderating role of algorithm transparency.…

Introduction: Lack of engagement is a common challenge for digital health interventions. To achieve their potential, it is necessary to understand how best to support users' engagement with interventions and target health behaviors. The aim of this systematic review was to identify the behavioral theories and behavior change techniques being incorporated into mobile health apps and how they are associated with the different components of engagement. Methods: The review was structured using the PRISMA and PICOS frameworks and searched six databases in July 2022: PubMed, Embase, CINAHL, APA PsycArticles, ScienceDirect, and Web of Science. Risk of bias was evaluated using the Cochrane Collaboration Risk of Bias 2 and the Mixed Methods Appraisal Tools. Analysis: A descriptive analysis provided an overview of study and app characteristics and evidence for potential associations between Behavior Change Techniques (BCTs) and engagement was examined. Results: The final analysis included 28 studies. Six BCTs were repeatedly associated with user engagement: goal setting, self-monitoring of…

Just as psychedelic-assisted psychotherapy (PAP) represents a clinical innovation that may need to be accommodated with corresponding theoretical and methodological innovations, there is growing awareness that the tools, normative frameworks, and standard practices of our clinical ethics may also need to be adapted, renewed, or replaced to accommodate its unusual features. Drawing on L. A. Paul's work on "Transformative Experience," I argue that the acute and long-term effects that are repeatedly reported following the administration of psychedelic drugs, including in clinical contexts, are epistemically inaccessible at the point of deciding to take them. By virtue of both the so-called "mystical" experiences that frequently arise during PAP, and the long-term shifts to outlooks, values, and priorities that can follow treatment, the processes of decision-making that are normatively expected of patients run aground. If this framing is correct, then prospective patients cannot meet the requirement of understanding that is one of the principal analytic components of informed consent.…

There has been a growing interest among scholars and practitioners in cultural empowerment due to the importance of this subject. In this study, we aim to explore the connection between traditional cultural symbols and cultural identity, further estimating how two variables stimulate consumers' emotional value to generate consumers' purchase intention. Based on existing traditional cultural literature and the theory of planned behavior (TPB), we first proposed a research framework and then empirically tested the relationship among traditional culture symbols, cultural identity, emotional value, and consumers' purchase intention. The survey data was tested using structural equation modeling (SEM) and the following conclusions were drawn. First, the cognition of traditional cultural symbols and cultural identity has a direct and significant impact on the emotional value thereby, eliciting consumers' purchase intention. Second, traditional cultural symbols are directly and indirectly (i.e., through emotional value or cultural identity) positively associated with consumers' purchase…