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Kristen L. Granger; Jason C. Chow – Educational Psychology Review, 2025
The purpose of this paper is to propose a framework to guide the study of classroom factors that promote student functioning and development within classroom settings. First, we describe a new framework, "Classroom Carrying Capacity," to categorize factors in the classroom as limiting or resource factors across four domains: external,…
Descriptors: Learning Processes, Capacity Building, Classroom Environment, Influences
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Cheng-Wen He; Logan Fiorella; Paula P. Lemons – Educational Psychology Review, 2025
This study tested competing theories about the effectiveness of different instructional sequences for learners with different levels of prior knowledge. Across two classroom experiments, undergraduates learned about noncovalent interactions in biochemistry by either receiving explicit instruction before problem-solving (I-PS group) or engaging in…
Descriptors: Instructional Effectiveness, Problem Solving, Prior Learning, Learning Processes
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Michelle L. Rivers; Paige E. Northern; Sarah K. Tauber – Educational Psychology Review, 2025
Prior research suggests that the effectiveness of retrieval practice may be moderated by response format: overt retrieval (e.g., typing a response) outperforms covert retrieval (e.g., mentally recalling a response) for complex materials like definitions, but both forms of retrieval are equally effective for simple materials like single words.…
Descriptors: Learning Processes, Definitions, Recall (Psychology), Vocabulary
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Xin Lin; Peng Peng; Xiuwen Song; Qile Liu – Educational Psychology Review, 2025
The current meta-analysis investigates the longitudinal association between prior and subsequent mathematics performance, involving mathematics measured at three time points, and to identify potential factors that could moderate this association, including age, time lag, and types of mathematics. Our analysis included 105 studies, comprising 111…
Descriptors: Longitudinal Studies, Prior Learning, Mathematics, Mathematics Education
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Yining Wang; Kexin Han; Paul Ginns – Educational Psychology Review, 2025
Cognitive load theory's incorporation of evolutionary perspectives suggests biologically primary knowledge, acquired through evolutionary processes, can support students in learning biologically secondary knowledge, the focus of typical educational curricula. Touch-based interactions using the hands are likely to be biologically primary. The…
Descriptors: Multimedia Instruction, Multimedia Materials, Learning Processes, Difficulty Level
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Lauren Margulieux; James Prather; Masoumeh Rahimi – Educational Psychology Review, 2025
Failure can be an effective tool for learning, but it comes with negative consequences. Educators and learners should practice strategies that leverage the benefits of failure while managing its negative consequences on learners' motivation and persistence. Towards that goal, this paper examines the biological effects of failure on learning to (1)…
Descriptors: Biology, Failure, Learning Processes, Priming
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Guido Makransky; Ban M. Shiwalia; Tue Herlau; Steven Blurton – Educational Psychology Review, 2025
Generative artificial intelligence (GenAI) has emerged as a transformative tool in education, offering scalable individualized learning. However, there is a lack of theoretically informed and methodologically rigorous research on how GenAI can effectively augment learning. This manuscript addresses this gap by investigating the potential of a…
Descriptors: Artificial Intelligence, Technology Uses in Education, Learning Processes, College Students
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Peter A. Edelsbrunner; Bianca A. Simonsmeier; Michael Schneider – Educational Psychology Review, 2025
Knowledge is an important predictor and outcome of learning and development. Its measurement is challenged by the fact that knowledge can be integrated and homogeneous, or fragmented and heterogeneous, which can change through learning. These characteristics of knowledge are at odds with current standards for test development, demanding a high…
Descriptors: Meta Analysis, Predictor Variables, Learning Processes, Knowledge Level
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Elisabeth Bauer; Samuel Greiff; Arthur C. Graesser; Katharina Scheiter; Michael Sailer – Educational Psychology Review, 2025
Artificial intelligence (AI) holds significant potential for enhancing student learning. This reflection critically examines the promises and limitations of AI for cognitive learning processes and outcomes, drawing on empirical evidence and theoretical insights from research on AI-enhanced education and digital learning technologies. We critically…
Descriptors: Artificial Intelligence, Technology Uses in Education, Influence of Technology, Learning Processes
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Bjorn de Koning; Shirong Zhang; Stoo Sepp – Educational Psychology Review, 2025
Human movement plays a foundational role in cognition and learning. This topical collection brings together theoretical and empirical work examining how gestures, physical activity, and virtual movement enhance learning in language, multimedia, and activity-based learning. Regarding language learning, interacting with virtual object improves…
Descriptors: Movement Education, Human Body, Nonverbal Communication, Multimedia Instruction
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Julia Hornstein; Melanie V. Keller; Martin Greisel; Markus Dresel; Ingo Kollar – Educational Psychology Review, 2025
Peer-feedback can be an effective method to support learning. However, students often require instructional support to provide and process peer-feedback effectively. Previous research used various types of instructional support to improve the quality of peer-feedback processes and outcomes. Yet, a comprehensive overview over their effects is…
Descriptors: Elementary School Students, Secondary School Students, College Students, Peer Evaluation