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Son, Yonggi; Gurvitch, Rachel; De Luna, Wellington; Carmon, Angela – Journal of Physical Education, Recreation & Dance, 2023
The Cognitive Load Theory (CLT) aims to foster learning productively under optimal cognitive loads. Students across all ages and stages of learning have limited capacity due to the human brain's functionality. Therefore, an effective learning design allows for knowledge acquisition that will minimize the loading effect on the working memory and…
Descriptors: Cognitive Processes, Difficulty Level, Productivity, Learning Processes
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Zambrano R., Jimmy; Kirschner, Femke; Sweller, John; Kirschner, Paul A. – British Journal of Educational Psychology, 2023
Background: Collaborative learning is a widely used approach where students gather in small groups to solve problems and develop skills. However, grouping students is not always effective, and it may be necessary to provide task-specific collaborative experiences to optimize their interactions for subsequent learning tasks. Aims: To test this…
Descriptors: Cooperative Learning, Grouping (Instructional Purposes), Foreign Countries, Interaction
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Plass, Jan L.; Kalyuga, Slava – Educational Psychology Review, 2019
We discuss four ways in which emotion may relate to cognitive load during learning. One perspective describes emotions as extraneous cognitive load, competing for the limited resources of working memory by requiring the processing of task-extra or task-irrelevant information. Another perspective shows that encoding, storage, and retrieval of…
Descriptors: Cognitive Processes, Difficulty Level, Emotional Response, Self Control
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Khanyisile Twabu – Discover Education, 2025
This article proposes a novel conceptual framework that integrates Artificial Intelligence (AI) with Cognitive Load Theory (CLT) and the Cognitive Theory of Multimedia Learning (CTML) to enhance Open Distance eLearning (ODeL) systems. By bridging the gap between traditional cognitive theories and cutting-edge AI technologies, this framework…
Descriptors: Cognitive Processes, Difficulty Level, Multimedia Instruction, Artificial Intelligence
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Xiaoqing Hong; Li Guo – Education and Information Technologies, 2025
The study investigates the effects of AI-enhanced multi-display language teaching systems on English as a Foreign Language (EFL) learners. Utilizing a pretest-posttest random assignment experimental design, the research involved 302 EFL students aged 19 to 28 in a higher education setting. The study examines the effects of AI-powered virtual…
Descriptors: Artificial Intelligence, Technology Uses in Education, Learning Motivation, Cognitive Processes
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Jia-Hua Zhao; Shu-Tao Shangguan; Guo Long; Qi-Fan Yang – Journal of Science Education and Technology, 2025
Digital game-based learning is a student-centered learning environment that influences learning success and learning motivation. Whereas, a poorly designed instructional game will impair learning. Through extensive knowledge construction and high engagement, collaborative concept mapping strategies have the potential to address above problems.…
Descriptors: Educational Principles, Teaching Methods, Science Instruction, Cooperative Learning
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Harjuli Surya Putra; Setiono Sugiharto; Anna Marietta Da Silva; Trisnendri Syahrizal – International Journal of Language Education, 2025
This study aims to investigate how pedagogical translanguaging in language education constructs a translanguaging space to mediate and reduce extraneous cognitive load in EFL classrooms. Using a descriptive qualitative design, classroom observations and video-stimulated recall interviews were conducted with Indonesian university students. Data…
Descriptors: Code Switching (Language), Second Language Instruction, Second Language Learning, English (Second Language)
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Shu-Fang Hsieh; Gwo-Jen Hwang – Journal of Computer Assisted Learning, 2025
Background: While both Content and Language Integrated Learning (CLIL) and Digital Game-Based Learning (DGBL) are widely recognised as effective methods to enhance bilingual education, their combination often leads to cognitive overload and fragmented learning experiences. In Taiwan's bilingual education context, where integrating English into…
Descriptors: Concept Mapping, Content and Language Integrated Learning, Computer Games, Educational Games
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Soicher, Raechel N.; Becker-Blease, Kathryn A. – Journal of Computer Assisted Learning, 2020
Multimedia instruction, the combination of pictures and words to produce meaningful learning, involves attention, selection, organization, and integration of new information with previously learned information. Because there is a large, theory-based literature supporting the effectiveness of multimedia instruction, we proposed that multimedia…
Descriptors: Multimedia Instruction, Cognitive Processes, Difficulty Level, Health Education
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Wang, Jiahui; Antonenko, Pavlo; Keil, Andreas; Dawson, Kara – Mind, Brain, and Education, 2020
Many online videos feature an instructor on the screen to improve learners' engagement; however, the influence of this design on learners' cognitive load is underexplored. This study investigates the effects of instructor presence on learners' processing of information using both subjective and psychophysiological measures of cognitive load. Sixty…
Descriptors: Cognitive Processes, Difficulty Level, College Students, Video Technology
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Jo, Il-Hyun; Kim, Jeonghyun – Asia-Pacific Education Researcher, 2020
Psychophysiological responses have been studied as objective indicators for measuring a learner's cognitive load. Previous studies have correlated pupil dilation or fixation length with increased cognitive load. Our aims were to confirm whether these findings could be applied in a general learning context and to verify the additivity hypothesis of…
Descriptors: Cognitive Processes, Difficulty Level, Problem Solving, Psychophysiology
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Jinfen Xu; Yumei Fan – Language Teaching Research, 2024
This study is aimed to identify the effects of task complexity on first language (L1) use and the functions it may serve when two groups of learners of English as a foreign language (EFL) work on collaborative tasks. Twenty-four pairs of Chinese EFL learners from two universities were assigned to a lower-proficiency and a higher-proficiency group,…
Descriptors: English (Second Language), Second Language Learning, Task Analysis, Difficulty Level
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Joash Mochogi Geteregechi – International Journal of Mathematical Education in Science and Technology, 2024
Despite the increasing amount of research into mathematical problem posing, research shows that much is still unknown about students' cognitive processes when engaged in problem posing. In this study, 16 undergraduate students' problem-posing products and processes are examined in order to shed light on the forms of mathematical reasoning that the…
Descriptors: Undergraduate Students, College Mathematics, Mathematical Logic, Thinking Skills
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Tom Ehrhart; Tim Niclas Höffler; Simon Grund; Marlit Annalena Lindner – Journal of Educational Psychology, 2024
Research on the multimedia effect in testing indicates that static representational pictures (RPs) and, potentially, dynamic RPs that further subdivide the picture into segments may support students' mental processing. This might be especially relevant for mathematical word problems that pose high mental demands in a multistage solution process.…
Descriptors: Word Problems (Mathematics), Animation, Foreign Countries, Secondary School Students
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Boehm, Udo; Matzke, Dora; Gretton, Matthew; Castro, Spencer; Cooper, Joel; Skinner, Michael; Strayer, David; Heathcote, Andrew – Cognitive Research: Principles and Implications, 2021
Human operators often experience large fluctuations in cognitive workload over seconds timescales that can lead to sub-optimal performance, ranging from overload to neglect. Adaptive automation could potentially address this issue, but to do so it needs to be aware of real-time changes in operators' spare cognitive capacity, so it can provide help…
Descriptors: Prediction, Cognitive Processes, Difficulty Level, Automation
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