Educational Psychology Review最新文献

A substantial amount of media comparison research has been conducted in the last decade to investigate whether students learn Science, Technology, Engineering, and Mathematics (STEM) content better in immersive virtual reality (IVR) or more traditional learning environments. However, a thorough review of the design and implementation of conventional and IVR conditions in media comparison studies has not been conducted to examine the extent to which specific affordances of IVR can be pinpointed as the causal factor in enhancing learning. The present review filled this gap in the literature by examining the degree to which conventional and IVR conditions have been controlled on instructional methods and content within the K-12 and higher education STEM literature base. Thirty-eight published journal articles, conference proceedings, and dissertations related to IVR comparison studies in STEM education between the years 2013 and 2022 were coded according to 15 categories. These categories allowed for the extraction of information on the instructional methods and content characteristics of the conventional and IVR conditions to determine the degree of control within each experimental comparison. Results indicated only 26% of all comparisons examined between an IVR and conventional condition were fully controlled on five key control criteria. Moreover, 40% of the comparisons had at least one confound related to instructional method and content. When looking at the outcomes of the studies, it was difficult to gather a clear picture of the benefits or pitfalls of IVR when much of the literature was confounded and/or lacked sufficient information to determine if the conditions were controlled on key variables. Implications and recommendations for future IVR comparison research are discussed.

This meta-analysis explores the effect of using scoring rubrics on self-efficacy and self-regulation in K-16 formal learning settings and its potential moderators. From the literature, we identified 14 relevant experimental or quasi-experimental primary studies conducted with a total of 2793 students. We retrieved 17 effect sizes for self-efficacy and 18 effect sizes for self-regulation outcomes from the primary studies. Rubric use has a statistically significant moderate to large positive effect on students’ self-efficacy (Hedges’ g = 0.39) and self-regulation (Hedges’ g = 1.00). Large within- and -between study variability of effect sizes is common: self-efficacy (Hedges’ g: −.06; 2.47) and self-regulation (Hedges’ g: −1.17; 3.30). We found no significant moderation of the effect of rubric use by students’ level of education, providing feedback, or instruction using the rubric, whereas there is evidence of an effect of rubrics on self-efficacy and self-regulation, variability of theoretical approaches, measures, and implementation quality raise questions about best practices for rubric development and use.

In the article It’s Just an Observation, Robinson and Wainer (Educational Psychology Review 35, Robinson, D., & Wainer, H. (2023). It’s just an observation. Educational Psychology Review, 35(83), Published online: 14 August, 2023) lamented that educational psychology is moving toward the dark side of the quality continuum, with fewer intervention studies and randomized controlled trials and a tendency to make causal inferences based on more armchair research using observational data. This paper discussed the challenges of making causal inferences, even with intervention studies and randomized controlled trials. We argued the usefulness of causal assumptions and modeling based on observational data regarding causal discovery while acknowledging their limitations. More importantly, the research rigor can be achieved in experimental or intervention studies as well as in studies using observational data. Showing favoritism could also taint our field by limiting our perspectives, stifling creativity, and diminishing scholarly variety. We should not allow the undue overinterpretation of correlational evidence to undermine the entire field of observational studies.

Although gesturing onscreen instructors are widely included in video lectures, it is still unclear whether, when, and how they are conducive to learning. To clarify this issue, we conducted a set of three-level meta-analyses of 662 effect sizes from 83 articles, spanning Web of Science, PsycINFO, ERIC, Education Research Complete, ProQuest Dissertations & Theses, and Google Scholar up to March 2024. We included randomized controlled trials of gesturing instructors in multimedia learning, measuring retention test score, transfer test score, fixation time, fixation count, cognitive load, and/or social perception across all languages of publication. Funnel plot and Egger sandwich test were used to assess risk of bias. Results showed that adding gesturing instructors improved retention (g = 0.28, 95% CI:[0.19,0.37]) and transfer test scores (g = 0.31, 95% CI:[0.21,0.41]), yielding an embodiment effect. This effect was stronger when the instructor displayed deictic, metaphorical, or a mixture of multiple gestures; when the instructor in the control condition was not visible; when the lecture was learner-paced and longer. Moreover, it increased learners’ social connection ratings and eye fixation time and count on core learning material (but only when deictic gestures were used). Thus, gesturing onscreen instructors may promote learning by social and cognitive paths, deepening our understanding of the role of gesturing onscreen instructors in multimedia learning and providing guidance for designing effective video lectures. More studies with clear experimental descriptions and eye-tracking studies are needed.

Accurately monitoring one’s learning processes during self-regulated learning depends on using the right cues, one of which could be perceived mental effort. A meta-analysis by Baars et al. (2020) found a negative association between mental effort and monitoring judgments (r = -.35), suggesting that the amount of mental effort experienced during a learning task is usually negatively correlated with learners’ perception of learning. However, it is unclear how monitoring judgments and perceptions of mental effort relate to learning outcomes. To examine if perceived mental effort is a diagnostic cue for learning outcomes, and whether monitoring judgments mediate this relationship, we employed a meta-analytic structural equation model. Results indicated a negative, moderate association between perceived mental effort and monitoring judgments (β = -.19), a positive, large association between monitoring judgments and learning outcomes (β = .29), and a negative, moderate indirect association between perceived mental effort and learning outcomes (β = -.05), which was mediated by monitoring judgments. Our subgroup analysis did not reveal any significant differences across moderators potentially due to the limited number of studies included per moderator category. Findings suggest that when learners perceive higher levels of mental effort, they exhibit lower learning (confidence) judgments, which relates to lower actual learning outcomes. Thus, learners seem to use perceived mental effort as a cue to judge their learning while perceived mental effort only indirectly relates to actual learning outcomes.

Virtual reality (VR) applications are developing rapidly, becoming more and more affordable, and offer various advantages for learning contexts. Dynamic visualizations are generally suitable for depicting continuous processes (e.g., different movement patterns), and particularly dynamic virtual 3D-objects can provide different perspectives on the movements. The present study investigated through a low immersive (desktop “VR”, Study 1) and a high immersive virtual environment (immersive VR; Study 2) the effectiveness of different interaction formats to view 3D-objects from different perspectives. Participants controlled either the orientation of the 3D-objects (Study 1, mouse interaction; Study 2, hand interaction via VR controllers) or their viewpoint in relation to the 3D-objects (Study 1, camera position; Study 2, position of participants’ own body). Additionally, the moderating influence of learners’ visuospatial ability was addressed. Dependent variables were pictorial recognition (easy, medium, difficult), factual knowledge, presence, and motion sickness. Results showed that higher-visuospatial-ability learners outperformed lower-visuospatial-ability learners. In Study 1, higher-visuospatial-ability learners showed higher recognition performance (difficult items) by controlling the camera position, whereas lower-visuospatial-ability learners suffered from this interaction format. In Study 2, higher-visuospatial-ability learners achieved better recognition performance (easy items) by controlling the 3D-models, whereas lower-visuospatial-ability learners tended to profit from moving around the 3D-objects (medium items). The immersive VR yielded more presence and higher motion sickness. This study clearly shows that different interaction formats to view 3D-objects from multiple perspectives in Desktop-VR are not transferable on a one-to-one basis into immersive VR. The results and implications for the design of virtual learning environments are discussed.

Distinguishing easily confusable categories requires learners to detect their predictive differences. Interleaved sequences — switching between categories — help learners to detect such differences. Nonetheless, learners prefer to block — switching within a category — to detect commonalities. Across two 2 × 2-factorial experiments, we investigated why learners scarcely engage in interleaving when learning confusable categories. In Experiment 1 (N = 190), we investigated the role of the utility value of being able to distinguish confusable mushroom doubles on their spontaneous study sequence choices and of the conditional knowledge component that for distinguishing, the detection of differences (between the doubles) matters. In Experiment 2 (N = 134), we again investigated the role of the latter and additionally of the conditional knowledge component that interleaving highlights differences. Results showed that combining two factors — increasing the utility value of distinguishing and informing learners that for distinguishing, the detection of differences matters — fostered learners’ use of interleaving. In conclusion, learners are more aware that interleaving highlights differences than previously thought. Nonetheless, learners prefer blocking because they do not recognize the utility value of distinguishing, and they lack the conditional knowledge that distinguishing requires finding predictive differences. Their blocked study sequence choices reflect a deliberate investment of effort to find commonalities rather than just avoiding effort. To make learners shift their effort allocation from finding commonalities to finding differences and engage them in spontaneous interleaving, we recommend highlighting the utility value of distinguishing and informing learners about the importance of finding differences for distinguishing.

Teacher wellbeing has received widespread and increasing global attention over the last decade due to high teacher turnover, growing teacher shortages, and the goal of improving the quality of teaching and student performance. No review has yet sought to undertake a cumulative quantitative assessment of the literature pertaining to teacher wellbeing. Using meta-analysis, we address this gap by systematically examining the relative strength of key antecedents, consequences, and correlates of teacher wellbeing, using the Job Demands-Resources theory as a guide to positioning factors in the nomological network. Following PRISMA guidelines, our systematic search yielded 173 eligible studies for inclusion (N = 89,876). Results showed that hope, autonomous motivation, psychological capital and job competencies were the top four strongest positive predictors of overall wellbeing, whereas neuroticism and disengagement coping were the top two strongest negative predictors. Occupational commitment was the strongest positive consequence of overall wellbeing, and turnover intentions were the strongest negative consequence. Burnout and work engagement were the strongest correlates of overall wellbeing. We also found that some effects were moderated by factors such as whether teachers were in-service or pre-service, and the educational setting (e.g., K-12, initial teacher education). Our review provides a useful empirical resource that may help guide practice in terms of how teachers, school leaders, and policy makers can support teacher wellbeing.

Efklides and colleagues developed the Metacognitive and Affective model of Self-Regulated Learning (MASRL) to provide a comprehensive theoretical framework of self-regulated learning (SRL). The distinguishing feature of MASRL is that it stresses metacognitive experiences and other subjective experiences (e.g., motivational, affective) as critical components of SRL. The insights underlying the model are that metacognitive experiences are related to affect, and that metacognition, motivation, and affect interact in SRL rather than function independently. Moreover, the MASRL proposes that SRL takes place at two levels, the Person and the Task X Person levels, with the latter being specific to the learning task and its demands. Although SRL can start with goal setting and planning in a top-down manner, monitoring and control processes at the Task X Person level provide input for bottom-up SRL. To highlight the theory-building process that led to the MASRL theory, we present questions that inspired its conception, its theoretical underpinnings, and current evidence supporting it. We also discuss the implications of the MASRL theory for understanding SRL in the classroom and for teacher–student interactions. Finally, we discuss open questions and issues that future research on MASRL would address in the context of educational psychology and SRL promotion.