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Alexander Eitel; Marie-Christin Krebs; Claudia Schöne – Educational Psychology Review, 2025
Given the many opportunities for technology use in education nowadays (e.g., Large language models, explainer videos, digital quizzing), teachers should know and rely on evidence-based answers to questions about when, how, and why technology-augmented instruction helps or hinders learning. To date, finding these answers requires integrating…
Descriptors: Predictor Variables, Technology Uses in Education, Educational Technology, Computer Assisted Instruction
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Rau, Martina A. – Educational Psychology Review, 2020
In most STEM instruction, students interact with visual representations, which can be presented in either in a physical or a virtual mode or in a blended form that combines both modes. While much research has compared the effects of physical and virtual representations on students' learning, the field is far from being able to predict when and why…
Descriptors: Learning Theories, Visual Aids, STEM Education, Blended Learning
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Williams, Ryan; Citkowicz, Martyna; Miller, David I.; Lindsay, Jim; Walters, Kirk – Journal of Research on Educational Effectiveness, 2022
Since the standards-based education movement began in the early 1990s, mathematics education reformers have developed and evaluated many interventions to support students in mastering more rigorous content. We conducted a systematic review and meta-analysis of U.S. PreK-12 mathematics intervention effects from 1991 to 2017 to study sources of…
Descriptors: Meta Analysis, Mathematics Education, Educational Change, Difficulty Level
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Barbera, Salvatore A.; Berkshire, Steven David; Boronat, Consuelo B.; Kennedy, Michael H. – Journal of College Student Retention: Research, Theory & Practice, 2020
A plethora of research spanning several decades has attempted to understand predictors of retention and graduation in undergraduate bachelor's degree programs. The topic is no less important today, as larger and larger swaths of the American population attend college each year. Studies have demonstrated that key demographic variables, indicators…
Descriptors: Undergraduate Students, Academic Persistence, Bachelors Degrees, Readiness
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Shernoff, David J.; Csikszentmihalyi, Mihaly; Schneider, Barbara; Shernoff, Elisa Steele – School Psychology Quarterly, 2003
Investigates how adolescents spent their time in high school and the conditions under which they reported being engaged. Participants experienced increased engagement when the perceived challenge of the task and their own skills were high and in balance, the instruction was relevant, and the learning environment was under their control.…
Descriptors: Adolescents, Difficulty Level, Educational Environment, High School Students
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Head, L. Quinn; Lindsey, Jimmy D. – College Student Journal, 1983
Reviewed the anxiety literature relating to university students, including: (a) a historical prospective of research; (b) the effects of anxiety level on learning; (c) associations among anxiety and learning performance and intellectual ability, sex difference, task difficulty, and situational variables; and (d) treatment. (JAC)
Descriptors: Academic Achievement, Anxiety, Cognitive Ability, College Students
MacWhinney, Brian – 1994
Drawing on recent psychological and neurological research on how individual differences might interact with learning a particular language, the study examines how psycholinguistic research and theory can help in assigning military personnel to language training and to a given language. Using the Defense Language Institute's Defense Language…
Descriptors: Comparative Analysis, Contrastive Linguistics, Difficulty Level, English