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Tina Seufert; Verena Hamm; Andrea Vogt; Valentin Riemer – Educational Psychology Review, 2024
Self-regulated learning depends on task difficulty and on learners' resources and cognitive load, as described by an inverted U-shaped relationship in Seufert's (2018) model: for easy tasks, resources are high and load is low, so there is no need to regulate, whereas for difficult tasks, load is too high and resources are too low to regulate. Only…
Descriptors: Cognitive Processes, Difficulty Level, Resources, Self Management
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Chew, Stephen L.; Cerbin, William J. – Journal of Economic Education, 2021
The authors describe a research-based conceptual framework of how students learn that can guide the design, implementation, and troubleshooting of teaching practice. The framework consists of nine interacting cognitive challenges that teachers need to address to enhance student learning. These challenges include student mental mindset,…
Descriptors: Learning, Cognitive Structures, Metacognition, Self Management
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Chevrier, Marianne; Muis, Krista R.; Di Leo, Ivana – Journal of Experimental Education, 2020
We examined the role of epistemic cognition in calibration to task complexity before and during learning. Sixty-six undergraduate students were presented with two learning tasks--a simple task and a more complex task--in random order. Prior to learning, offline measures of learners' epistemic beliefs about climate change were taken. An open-ended…
Descriptors: Undergraduate Students, Beliefs, Climate, Change
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Stock, Wendy A. – Journal of Economic Education, 2021
What do we know about how well graduate teaching in economics addresses cognitive challenges to learning? In short, very little. There is a dearth of research that investigates how graduate student, program and professor characteristics, and choices impact graduate student learning and other outcomes. Some of the broader literature on graduate…
Descriptors: Economics Education, Graduate Students, Learning, Cognitive Structures
Costa, Arthur L.; Kallick, Bena O. – ASCD, 2019
In the first years of life, as children observe, imitate, and interact with people and their environment, the brain is structuring a foundation for vocabulary, values, cognitive processes, and social skills. Educators, you can help influence that development by teaching the skills and dispositions of intelligent, creative, effective decision…
Descriptors: Cognitive Processes, Problem Solving, Child Development, Teacher Role
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Cho, Byeong-Young; Woodward, Lindsay; Li, Dan; Barlow, Wendy – American Educational Research Journal, 2017
Forty-three high school students participated in an online reading task to generate a critical question on a controversial topic. Participants' concurrent verbal reports of strategy use (i.e., information location, meaning making, source evaluation, self-monitoring) and their reading outcome (i.e., the generated question) were evaluated with…
Descriptors: Adolescents, Reading Strategies, Cognitive Processes, High School Students
Carreker, Suzanne; Boulware-Gooden, Regina – Center on Innovations in Learning, Temple University, 2015
Students bring attitudes, aptitudes, and behaviors to the learning experience. Personal competencies--cognitive, metacognitive, motivational, social/emotional--help students coordinate and manage new learning. These competencies are enhanced by the teacher. However, the ability of a teacher to enhance these competencies cannot be assumed. The…
Descriptors: Teacher Competencies, Interpersonal Competence, Cognitive Processes, Metacognition
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Hodgen, Jeremy; Foster, Colin; Marks, Rachel; Brown, Margaret – Education Endowment Foundation, 2018
This document presents a review of evidence commissioned by the Education Endowment Foundation to inform the guidance document "Improving Mathematics in Key Stages Two and Three" (Education Endowment Foundation, 2017). The review draws on a substantial parallel study by the same research team, funded by the Nuffield Foundation, which…
Descriptors: Mathematics Instruction, Foreign Countries, Mathematics Skills, Feedback (Response)
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Hatsidimitris, George; Kalyuga, Slava – Educational Technology Research and Development, 2013
Learning with instructional animations may overstretch limited working memory resources due to intense processing demands associated with transient information. The authors investigated whether explicit instructional advice coupled with a task-specific learner control mechanism (such as a timeline scrollbar) could facilitate the successful…
Descriptors: Animation, Computer Assisted Instruction, Prior Learning, Learner Controlled Instruction
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Simonson, Michael, Ed. – Association for Educational Communications and Technology, 2014
For the thirty-seventh year, the Research and Theory Division and the Division of Instructional Design of the Association for Educational Communications and Technology (AECT) sponsored the publication of these Proceedings. Papers published in this volume were presented at the annual AECT Convention in Jacksonville, Florida. This year's Proceedings…
Descriptors: Educational Technology, Technology Uses in Education, Foreign Countries, Visualization
Gillespie, Marilyn K. – 2002
Research findings related to constructivism have been applied to development of the Equipped for the Future (EFF) Framework and Continuum of Performance, a multi-dimensional developmental description of performance serving as a foundation for EFF-based instruction and assessment of learner progress. Acquiring expertise is a complex developmental…
Descriptors: Adult Education, Cognitive Ability, Cognitive Development, Cognitive Processes