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Hao, Xiaoxin; Xu, Zhiyi; Guo, Mingyue; Hu, Yuzheng; Geng, Fengji – International Journal of STEM Education, 2023
Background: Coding has become an integral part of STEM education. However, novice learners face difficulties in processing codes within embedded structures (also termed nested structures). This study aimed to investigate the cognitive mechanism underlying the processing of embedded coding structures based on hierarchical complexity theory, which…
Descriptors: Cognitive Processes, Difficulty Level, Programming, Computer Science Education
Isbilen, Erin S.; McCauley, Stewart M.; Kidd, Evan; Christiansen, Morten H. – Cognitive Science, 2020
The computations involved in statistical learning have long been debated. Here, we build on work suggesting that a basic memory process, "chunking," may account for the processing of statistical regularities into larger units. Drawing on methods from the memory literature, we developed a novel paradigm to test statistical learning by…
Descriptors: Statistics, Cognitive Processes, Teaching Methods, Recall (Psychology)
Gisela Granena – Studies in Second Language Acquisition, 2023
This paper examines how research in second language acquisition has approached the study of cognitive individual differences in the process and product of L2 writing from a theoretical and empirical perspective, paying special attention to the three empirical studies included in this special issue. The paper is divided into three sections. The…
Descriptors: Cognitive Processes, Individual Differences, Second Language Learning, Second Language Instruction
Wang, Tingting; Li, Shan; Lajoie, Susanne – Educational Technology & Society, 2023
Cognitive load can be induced by both learning tasks and self-regulated learning (SRL) activities, which compete for limited working memory capacity. However, there is little research on the relationship between cognitive load and SRL. This study explored how cognitive load interplayed with SRL behaviors and their joint effects on task performance…
Descriptors: Cognitive Processes, Difficulty Level, Learning Strategies, Technology Uses in Education
Danielle Mattson; Kathryn Kryska; Jacqueline Pei; Claire Coles; Julie Kable; Molly Millians; Gail Andrew; Damien Cormier; Carmen Rasmussen – Canadian Journal of School Psychology, 2024
Math development in children relies on several underlying cognitive functions, including executive functions (EF), working memory (WM), and visual-motor abilities, such as visual-motor integration (VMI). Understanding how these cognitive factors contribute to children's math performance is critical to supporting math learning and long-term math…
Descriptors: Mathematical Aptitude, Children, Neurodevelopmental Disorders, Cognitive Processes
Chen, Ouhao; Paas, Fred; Sweller, John – Educational Psychology Review, 2021
Spaced and interleaved practices have been identified as effective learning strategies which sometimes are conflated as a single strategy and at other times treated as distinct. Learning sessions in which studying information or practicing problems are spaced in time with rest-from-deliberate-learning periods between sessions generally result in…
Descriptors: Cognitive Processes, Difficulty Level, Short Term Memory, Intervals
Ben Izhak, Shachar; Lavidor, Michal – Journal of Cognition and Development, 2023
The field of cognitive training (CT) has been researched for over a century. However, there is still a debate regarding its ability to produce cognitive improvement, especially in working memory (WM) indices. This meta-analysis examined whether there is an advantage in training gains by comparing the results of two specific WM training approaches,…
Descriptors: Short Term Memory, Meta Analysis, Learning Strategies, Cognitive Processes
Darejeh, Ali; Mashayekh, Sara; Marcus, Nadine – Cogent Education, 2022
E-learning systems, which are used for teaching complex software, can facilitate learning if they provide an appropriate teaching approach that decreases learners' cognitive load in addition to providing practical knowledge. We believe there is lack of cognitively guided educational recommendations on how to effectively and efficiently design such…
Descriptors: Cognitive Processes, Difficulty Level, Electronic Learning, Computer Science Education
Theodore P. Zanto; Anastasia Giannakopoulou; Courtney L. Gallen; Avery E. Ostrand; Jessica W. Younger; Roger Anguera-Singla; Joaquin A. Anguera; Adam Gazzaley – Developmental Science, 2024
Musical instrument training has been linked to improved academic and cognitive abilities in children, but it remains unclear why this occurs. Moreover, access to instrument training is not always feasible, thereby leaving less fortunate children without opportunity to benefit from such training. Although music-based video games may be more…
Descriptors: Electronic Learning, Musical Instruments, Music, Language Rhythm
Ross, Wendy; Vallée-Tourangeau, Frédéric; Van Herwegen, Jo – International Journal of Science and Mathematics Education, 2020
Manipulative artefacts are considered useful scaffolds of arithmetic during early years education, but their use is considered less important as children get older. Yet adult arithmetic performance often recruits artefacts to improve accuracy and efficiency, and so the same benefits should accrue to children beyond early years. We propose that…
Descriptors: Mathematics Instruction, Manipulative Materials, Teaching Methods, Short Term Memory
Likourezos, Vicki; Kalyuga, Slava; Sweller, John – Educational Psychology Review, 2019
Based on cognitive load theory, this paper reports on two experiments investigating the variability effect that occurs when learners' exposure to highly variable tasks results in superior test performance. It was hypothesised that the effect was more likely to occur using high rather than low levels of guidance and testing more knowledgeable than…
Descriptors: Cognitive Processes, Difficulty Level, Testing, Knowledge Level
Hultberg, Patrik; Calonge, David Santandreu; Lee, Eugene – Journal of the Scholarship of Teaching and Learning, 2018
Passively listening to a lecture (deWinstanley & Bjork, 2002), skimming a textbook chapter, or googling for an answer to a homework problem is not conducive to deep and lasting high-order learning. At the same time, presenting complex concepts in problem-based classes might overload students' working memory capacity. Effective student learning…
Descriptors: Instructional Design, Learning Processes, Short Term Memory, Cognitive Ability
Hord, Casey; Kastberg, Signe; Marita, Samantha – Australian Mathematics Education Journal, 2019
Mathematics problems that are unfamiliar to students and contain multiple sets of information can overwhelm many struggling learners (Swanson & Beebe-Frankenberger, 2004). Academic interventions utilising visual representations can support students who are struggling to remember information and think through challenging multi-step problems…
Descriptors: Mathematics Instruction, Teaching Methods, Intervention, Visual Stimuli
Wilson, Donna; Conyers, Marcus – Teachers College Press, 2020
This is the second edition of the seminal text designed to empower educators with an innovative and inspiring conceptual framework for effective teaching. This bestseller is grounded in the synergy of five big ideas for connecting mind, brain, and education research to classroom practice: neuroplasticity, potential, malleable intelligence, the…
Descriptors: Teaching Methods, Brain, Cognitive Processes, Neurology
Frazier, Erin; Lege, Ryan; Bonner, Euan – Teaching English with Technology, 2021
Virtual Reality (VR) is a valuable tool for learning, however, there is a lack of education-focused content for language learning needs. This article introduces the "VR Application Analysis Framework" (Lege, Bonner, Frazier, & Pascucci, 2020) to assist educators in scaffolding existing commercial off-the-shelf (COTS) applications for…
Descriptors: Computer Simulation, Educational Technology, Technology Uses in Education, Second Language Learning