Educational Psychology Review最新文献

The current study replicated an earlier investigation by Bouwer and van der Veen (2023) where 10 Grade 5 and 6 classrooms in the Netherlands (210 students) were randomly assigned to a treatment or control condition, with treatment students evidencing improvements in the quality of their essays after practice writing argumentative essays, reading and discussing them with a small group of peers, and revising each essay based on the discussion that ensued. In the present study, 12 Grade 2 to 4 classrooms in Türkiye (383 students) were randomly assigned to this write, talk, and rewrite dialogic treatment or to a control condition. Students in the control condition practiced planning and writing the same four argumentative essays as treatment students did during the experiment, and each of these essays was shared with peers (time spent in both conditions was comparable). Control students did not, however, discuss their essay with peers or use such feedback to revise them as was done by students in the write, talk, and rewrite dialogic treatment. When the nested nature of the data and pretest scores were held constant, the quality of the argumentative posttest essays produced by students in the treatment condition evidenced greater improvement than essays written by control students. The same outcome was obtained for the length of essays (number of words) when the nested nature of the data and pretest scores were held constant. This investigation provided evidence that the write, talk, and rewrite dialogic intervention tested by Bouwer and van der Veen (2023) was effective in improving the argumentative writing of even younger students in a different country. Implications for research and practice are provided.

Well-chosen covariates boost the design sensitivity of individually and cluster-randomized trials. We provide guidance on covariate selection generating an extensive compilation of single- and multilevel design parameters on student achievement. Embedded in psychometric heuristics, we analyzed (a) covariate types of varying bandwidth-fidelity, namely domain-identical (IP), cross-domain (CP), and fluid intelligence (Gf) pretests, as well as sociodemographic characteristics (SC); (b) covariate combinations quantifying incremental validities of CP, Gf, and/or SC beyond IP; and (c) covariate time lags of 1–7 years, testing validity degradation in IP, CP, and Gf. Estimates from six German samples (1868 ≤ N ≤ 10,543) covering various outcome domains across grades 1–12 were meta-analyzed and included in precision simulations. Results varied widely by grade level, domain, and hierarchical level. In general, IP outperformed CP, which slightly outperformed Gf and SC. Benefits from coupling IP with CP, Gf, and/or SC were small. IP appeared most affected by temporal validity decay. Findings are applied in illustrative scenarios of study planning and enriched by comprehensive Online Supplemental Material (OSM) accessible via the Open Science Framework (OSF; https://osf.io/nhx4w).

Narrative recall and comprehension are important lifelong skills. While gesturing may improve recall by alleviating cognitive load, it may be differentially beneficial, depending on task and individual characteristics. While research on gesture’s effects on a variety of task modalities is burgeoning, effects on recall of narratives read aloud are under-examined. Further, emotional valence and individual differences in verbal memory may affect recall, through effects on task difficulty. If gesturing lightens cognitive load, it may be more beneficial for harder tasks, namely for narratives lacking emotional content and for individuals with poorer verbal memory. Across two studies, impacts of gesture production, emotional valence, and individual differences on narrative recall were evaluated. In Study 1, participants (N = 100) read aloud three emotive narratives (positive, negative, neutral) while either instructed to gesture or receiving no gesture instructions. Gesture production hindered recall, particularly for those with higher verbal memory. Emotion benefited recall, with enhanced recall of the negative narrative and impaired recall for the neutral narrative. In Study 2, following a measure of individual propensity to gesture, participants (N = 98) similarly read aloud three emotive narratives. Instructions to gesture hindered recall for participants with a lower propensity to gesture, and emotional narratives again saw enhanced recall relative to the neutral narrative. Propensity to gesture and verbal memory were positively associated with narrative comprehension. Results suggest instructions to produce gestures may for some individuals hinder recall for self-guided learners when studying written texts, while emotional content benefits recall.

Successful early mathematical development is vital to children’s later education, employment, and wellbeing outcomes. However, established measurement tools are infrequently used to (i) assess children’s mathematical skills and (ii) identify children with or at-risk of mathematical learning difficulties. In response, this pre-registered systematic review aimed to provide an overview of measurement tools that have been evaluated for their psychometric properties for measuring the mathematical skills of children aged 0–8 years. The reliability and validity evidence reported for the identified measurement tools were then synthesised, including in relation to common acceptability thresholds. Overall, 41 mathematical assessments and 25 screeners were identified. Our study revealed five main findings. Firstly, most measurement tools were categorised as child-direct measures delivered individually with a trained assessor in a paper-based format. Secondly, the majority of the identified measurement tools have not been evaluated for aspects of reliability and validity most relevant to education measures, and only 15 measurement tools met the common acceptability thresholds for more than two areas of psychometric evidence. Thirdly, only four screeners demonstrated an acceptable ability to distinguish between typically developing children and those with or at-risk of mathematical learning difficulties. Fourthly, only one mathematical assessment and one screener met the common acceptability threshold for predictive validity. Finally, only 11 mathematical assessments and one screener were found to concurrently align with other validated measurement tools. Building on this current evidence and improving measurement quality is vital for raising methodological standards in mathematical learning and development research.

This systematic meta-analytic review investigated the relations between achievement goals and internalizing symptoms and disorders, namely, anxiety and depression. The number of samples for each focal relationship ranged from 3 to 36. The results indicated significant effect sizes for the relations between mastery-approach goals and anxiety (r = − .10) and depression (r = − .18), as well as performance-avoidance goals and anxiety (r = .25) and depression (r = .16). A significant effect size was also found for the relation between performance-approach goals and anxiety (r = .15), and a non-significant effect size was observed for the relation between performance-approach goals and depression (r = .05). Mastery-avoidance goals were not significantly related to either anxiety (r = .08) or depression (r = − .13). Several moderators representing the conceptualization of achievement goals (e.g., theoretical model), sample characteristics (e.g., education level), and methodology- and publication-based characteristics (e.g., year of publication) were significant, and suggested avenues for future research. These findings herein have implications for intervention programs that could focus on reducing the links between achievement goals and internalizing problems.

The science of reading (SOR) refers to the sum of what we know about how people learn to read based on empirical studies across multiple disciplines. The purpose of this review was to identify research evidence to inform the SOR for multilingual learners (MLs). We reviewed 30 systematic reviews related to reading and reading instruction for MLs conducted primarily in K-5 U.S. classrooms. Results identified four broad clusters of components related to English reading comprehension as well as instructional practices and programs effective in addressing each component. Clusters included oral language, phonological awareness, decoding and oral reading fluency, and reading comprehension. Notably, oral language and reading skills in both MLs’ first language and in English were essential components of the SOR for MLs. Implications for theory and research as well as policy, curriculum, and instruction are provided.

Who should evaluate the originality and task-appropriateness of a given idea has been a perennial debate among psychologists of creativity. Here, we argue that the most relevant evaluator of a given idea depends crucially on the level of expertise of the person who generated it. To build this argument, we draw on two complimentary theoretical perspectives. The model of domain learning (MDL) suggests that, for novices in a domain, creativity is by-necessity self-referenced, but as expertise develops, more socially referenced creativity is possible. Relatedly, the four-C model posits four forms of creativity that fall along a continuum of social impact: mini-c, little-c, Pro-c, and Big-C. We show that the MDL implies a learning trajectory that connects the four Cs because, as socially referenced creativity develops, greater societal impact becomes available to a creator. Then, we describe four sources of evaluations that become relevant as an individual learns: judgments from the creators themselves, their local community, consumers of the idea, and finally, critics in the domain. We suggest that creators’ judgments are of essential importance for mini-c, community judgments are paramount for little-c, Pro-c requires either positive evaluations from consumers or critics, and Big-C requires both consumers and critics to evaluate an idea positively for an extended time. We identify key insights and imperatives for the field: aligning our measures (both human and AI scored) with the most relevant evaluations of ideas to support the reliability and validity of our measurements, using evaluations as feedback for learners to support the development of creative metacognition, and the importance of considering domain differences when evaluating ideas.

Emotion regulation (ER) represents an important factor in youth’s academic wellbeing even in contexts that are not characterized by outstanding levels of academic stress. Effective ER not only enhances learning and, consequentially, improves youths’ academic achievement, but can also serve as a protective factor against academic burnout. The relationship between ER and academic burnout is complex and varies across studies. This meta-analysis examines the connection between ER strategies and student burnout, considering a series of influencing factors. Data analysis involved a random effects meta-analytic approach, assessing heterogeneity and employing multiple methods to address publication bias, along with meta-regression for continuous moderating variables (quality, female percentage and mean age) and subgroup analyses for categorical moderating variables (sample grade level). According to our findings, adaptive ER strategies are negatively associated with overall burnout scores, whereas ER difficulties are positively associated with burnout and its dimensions, comprising emotional exhaustion, cynicism, and lack of efficacy. These results suggest the nuanced role of ER in psychopathology and well-being. We also identified moderating factors such as mean age, grade level and gender composition of the sample in shaping these associations. This study highlights the need for the expansion of the body of literature concerning ER and academic burnout, that would allow for particularized analyses, along with context-specific ER research and consistent measurement approaches in understanding academic burnout. Despite methodological limitations, our findings contribute to a deeper understanding of ER's intricate relationship with student burnout, guiding future research in this field.

The present study was designed to understand and optimize self-assessment accuracy in cognitive skill acquisition through example-based learning. We focused on the initial problem-solving phase, which follows after studying worked examples. At the end of this phase, it is important that learners are aware whether they have already understood the solution procedure. In Experiment 1, we tested whether self-assessment accuracy depended on whether learners were prompted to infer their self-assessments from explanation-based cues (ability to explain the problems’ solutions) or from performance-based cues (problem-solving performance) and on whether learners were informed about the to-be-monitored cue before or only after the problem-solving phase. We found that performance-based cues resulted in better self-assessment accuracy and that informing learners about the to-be-monitored cue before problem-solving enhanced self-assessment accuracy. In Experiment 2, we again tested whether self-assessment accuracy depended on whether learners were prompted to infer their self-assessments from explanation- or performance-based cues. We furthermore varied whether learners received instruction on criteria for interpreting the cues and whether learners were prompted to self-explain during problem-solving. When learners received no further instructional support, like in Experiment 1, performance-based cues yielded better self-assessment accuracy. Only when learners who were prompted to infer their self-assessments from explanation-based cues received both cue criteria instruction and prompts to engage in self-explaining during problem-solving did they show similar self-assessment accuracy as learners who utilized performance-based cues. Overall, we conclude that it is more efficient to prompt learners to monitor performance-based rather than explanation-based cues in the initial problem-solving phase.

In current research, emotions in language use situations are often examined only at their starting and ending points, akin to observing the beginning and end of a wave, while neglecting their complex fluctuations in between. To fully comprehend the dynamics of emotions in language use situations, it is essential to delve into their intricate unfolding throughout their progression. This is particularly critical in the context of Second Language Acquisition (SLA), where emotional dynamics can significantly influence learning outcomes and proficiency. Drawing on existing empirical research and theories, we propose a novel interpretation rooted in complex dynamic systems theory (CDST) to elucidate the dynamic nature of emotions in language use situations. Furthermore, we suggest methodologies for capturing the complete dynamics of emotional and language behaviours, including an analysis of their dynamic interrelationships. By embracing a dynamic perspective, we can advance our understanding of interplay between emotions and language behaviours from epistemological theory to methodology and analysis, paving the way for future research in this field.