The 10 most-cited articles in Review of Educational Research, 2024

A high level of teacher self-efficacy is considered to be important for a successful and healthy teaching career. This preregistered meta-analysis focuses on whether and to what degree interventions can promote teacher self-efficacy. We included 115 studies representing 11,284 pre-service and in-service teachers in our meta-analysis. Interventions had a significant, positive effect on the promotion of teachers’ self-efficacy ( g = 0.47, RVE SE = 0.04, 95% CI = [0.40, 0.54]) with no significant differences between pre- and in-service teachers. A fine-grained coding and systematic review of the targeted sources of self-efficacy according to Bandura’s sociocognitive theory revealed that overall interventions including mastery experiences did not significantly differ from those without. However, interventions targeting only mastery experiences were the most successful for pre-service teachers ( g = 0.62, RVE SE = 0.11, CI = [0.35, 0.88]). Based on further moderator analyses, we recommend interventions to integrate reflective elements. Finally, future research should apply stricter study…

Teaching coding and computational thinking is an emerging educational imperative, now embedded in compulsory curriculum in the United States, Finland, the UK, Germany, Belgium, the Netherlands, New Zealand, and Australia. This meta-synthesis of 49 studies critically reviews recent international research (2009–2022) of coding and computational thinking as core and integrated across the curriculum. It addresses four essential problems: (a) What are the key features of learning environments that successfully develop students’ coding and computational thinking? (b) What is the impact of student engagement in coding and computational thinking on learning outcomes across curriculum areas? (c) What pedagogical constraints are evident for coding and computational thinking, including across curriculum areas? and (d) Which conceptual frameworks support coding and computational thinking, and what has been marginalized or excluded? The review advances knowledge of coding and computational thinking—vital to guide and develop future AI-based solutions to real-world problems that challenge…

Given the importance of conversation practice in language learning, chatbots, especially ChatGPT, have attracted considerable attention for their ability to converse with learners using natural language. This review contributes to the literature by examining the currently unclear overall effect of using chatbots on language learning performance and comprehensively identifying important study characteristics that affect the overall effectiveness. We meta-analyzed 70 effect sizes from 28 studies, using robust variance estimation. The effects were assessed based on 18 study characteristics about learners, chatbots, learning objectives, context, communication/interaction, and methodological and pedagogical designs. Results indicated that using chatbots produced a positive overall effect on language learning performance ( g = 0.484), compared to nonchatbot conditions. Moreover, four characteristics (i.e., educational level, language level, interface design, and interaction capability) affected the overall effectiveness. In an in-depth discussion on how the 18 characteristics are related…

This meta-analysis included 27 empirical studies to explore the effectiveness of robot-assisted language learning (RALL) as well as the moderating effects of a number of variables. The comparison of 64 effect sizes from 2,637 participants indicated significant variability between the independent samples. The overall results showed that the combined linguistic and affective gain of RALL was significant. The results of moderator analysis showed that most moderators, including place of the study, type of robot, publication type, instructional level of the learners, design of the study, time points of assessment, learning setting, second language (L2) proficiency level, type of assessment, language domain, and the non-RALL condition had no significant effects on learning outcomes. However, the moderating effect of the participants’ age was significant as RALL was found to be more effective for elementary school students (7–12 years old). The findings provide insights into the design of effective robots for second language acquisition (SLA) that support learners with certain…

While society’s demand for creativity is echoed across the world, teachers in higher education often struggle to support students’ development of creative competencies. This transdisciplinary systematic literature review of 58 peer-reviewed empirical studies provides a comprehensive overview of creativity-fostering teacher behaviors identified across all academic disciplines in higher education. In our thematic analysis, we identified 22 themes grouped into six overarching dimensions (the six dimensions of fostering creativity, namely, [a] affective, [b] cognitive, [c] behavioral, [d] metacognitive, [e] creativity-in-action, and [f] uncertainty). Based on these dimensions, we developed a new conceptual model of teacher behaviors for creativity: the “meta-creativity” model. This model highlights the transdisciplinary, interactive, and interdependent nature of creativity-fostering teacher behaviors, which are subject to the conflicting needs and tensions of creative processes. This review provides key practical insights for teachers, administrators, and policymakers and new research…

Teachers’ beliefs influence their teaching practices. Given the U.S. Secretary of Education’s push to increase multilingualism, this systematic literature review examines teachers’ beliefs about language diversity and multilingual learners in relation to teacher experiences, teaching practices, and external factors. Using 17 search terms, we searched seven databases for empirical, peer-reviewed studies that examined K–12 teachers’ language beliefs. We analyzed 63 studies that met our criteria using a framework of teacher beliefs. Our findings indicate that researchers use myriad terms to capture the participating teachers’ beliefs. These terms could be grouped into dominant language, subtractive, additive, and pluralist beliefs. We also found connections between teachers’ beliefs on one side and their life experiences, instructional practices, and external factors, such as high-stakes tests and school contexts, on the other side. We added teachers’ beliefs about families, content and knowledge, and diversity to the framework, as well as external factors.

Over the past two decades, debates surrounding the marketization of higher education worldwide have intensified. The impact it is having specifically on academics and their careers is less well documented, but enough literature has emerged to certainly warrant a review. To investigate the topic, a systematic literature review was conducted to examine the implications of the increased marketization of higher education on academic careers. This secondary research reviewed 54 documents that included both theoretical contributions and empirical findings from 21 different national contexts. Our findings indicate that academic careers are affected on at least two levels: first, on a material level, career structures have undergone a progressive precarization, marked by an increase in temporary contracts and part-time jobs; and second, on an ideological level, in which fatalistic narratives such as “there is no other way out of the neoliberal game” appear to be prevalent. Our findings suggest that key collective and political aspects of academics’ careers may have become depoliticized…

Effective teaching pedagogies and curriculum frameworks in school physical education have been regularly changing and widely debated. However, teachers have predominately used technical and sport-based approaches, but tactical game-centered approaches (TGAs) are becoming more common when teaching games in physical education. This review systematically described the content and the quality of research that compared TGAs with other teaching approaches within school physical education. All 24 studies that were found compared a technical approach (TA) or control group with a TGA, and most originated from Western Europe. Studies were conducted equally in primary and secondary schools, most research was mixed-gender, and the majority incorporated a single sport to compare teaching approaches. The quality of reporting was mostly low with a moderate to serious risk of bias. Studies commonly showed that TGAs improved student outcomes in tactical skill; skill execution; affective, procedural knowledge and/or physical activity; and TAs improved skill execution and technical skill.

Although gender parity has been achieved in some STEM fields, gender disparities persist in computing, one of the fastest-growing and highest-earning career fields. In this systematic literature review, we expand upon academic momentum theory to categorize computing interventions intended to make computing environments more inclusive to girls and women and consider how those characteristics vary by the success of the intervention. Particular attention is given to the efficacy of broadening participation and success for women in computer science, information technology, and related fields. After scrutinizing 168 relevant studies, 48 met the inclusion criteria and were included. We introduce a framework for gender equity in computing, expanding on existing research on academic and STEM momentum to encompass new domains representing social and structural momentum. Our analysis reveals the complex roles of intervention domains, strategies, goals, levels, and duration in shaping their efficacy. Implications for theory, research, and practice are discussed.

Researchers have explored artificial intelligence (AI) applications across educational contexts; however, there is a lack of meta-analysis focused on students with disabilities (SWDs). This study examined the overall effect of AI-based interventions on SWDs’ learning outcomes in 29 (quasi-)experimental studies conducted globally. We used cultural historical activity theory (CHAT) to explore how the effect was moderated by factors, including participant-, AI-, AI-SWD interaction-, intervention-, and methodology-related characteristics. Results indicated a medium effect (Hedge’s g = 0.588) of interventions operating through robots, computer software, and intelligent VR systems. There were no statistically significant moderators. Regardless, this study contributes to a holistic understanding of historical dimensions of AI applications for SWDs and offers critical theoretical implications for future investigations. We call for more rigorous research to explore AI that not only ensures accessibility but also promotes opportunities for SWDs to take an agentic role in participating in and…