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Showing 1 to 15 of 45 results Save | Export
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Kalyuga, Slava – Educational Psychology Review, 2023
Adopting an evolutionary approach to substantiate major characteristics of human cognitive architecture has been one of the major recent developments in cognitive load theory. According to this approach, human cognitive architecture is a natural information processing system which can be described by five general principles. This paper attempts to…
Descriptors: Cognitive Processes, Difficulty Level, Evolution, Epistemology
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Paul Evans; Maarten Vansteenkiste; Philip Parker; Andrew Kingsford-Smith; Sijing Zhou – Educational Psychology Review, 2024
Although cognitive load theory research has studied factors associated with motivation, these literatures have primarily been developed in isolation from each other. In this contribution, we aimed to advance both fields by examining the effects of instructional strategies on learners' experience of cognitive load, motivation, engagement, and…
Descriptors: Cognitive Processes, Difficulty Level, Learning Motivation, Self Determination
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Soonri Choi; Soomin Kang; Kyungmin Lee; Hongjoo Ju; Jihoon Song – Contemporary Educational Technology, 2024
This study proposes that the gestures of an agent tutor in a multimedia learning environment can generate positive and negative emotions in learners and influence their cognitive processes. To achieve this, we developed and integrated positive and negative agent tutor gestures in a multimedia learning environment directed by cognitive gestures.…
Descriptors: Intelligent Tutoring Systems, Artificial Intelligence, Cognitive Processes, Difficulty Level
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Minkai Wang; Di Zhang; Jingdong Zhu; Hanjie Gu – Journal of Educational Computing Research, 2025
Scientific knowledge is often abstract and challenging, making it difficult for students to apply these concepts effectively. Digital game-based learning (DGBL) offers an engaging and immersive approach, but the fixed resources and predetermined learning paths in most games limit its ability to adapt to individual learners' needs. Large language…
Descriptors: Artificial Intelligence, Technology Uses in Education, Educational Games, Academic Achievement
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Jingjing Chen; Rao Muhammad Aqib Hassan; Shuai Sun; Yilin Mo; Dan Zhang – IEEE Transactions on Learning Technologies, 2025
The lightboard, an affordable and readily accessible tool, has become a promising approach for enhancing engagement in instructional videos. Despite its potential, previous studies have primarily highlighted the benefits of lightboard videos by evaluating learners' subjective experiences, with limited empirical research examining their impact on…
Descriptors: College Students, Mathematics Skills, Mathematics Achievement, Video Technology
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Khong, Hou Keat; Kabilan, Muhammad Kamarul – Computer Assisted Language Learning, 2022
The notion of "Micro-Learning" (ML) has been repeatedly accented as a successful learning approach in different learning phenomena. Despite these optimistic emphases, several studies lack a theoretical grounding in adoption of ML, thus missing a shared perspective of the education community. The scarce theoretical justification for…
Descriptors: Second Language Instruction, Cognitive Processes, Difficulty Level, Self Determination
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Haoxin Xu; Tianrun Deng; Xianlong Xu; Xiaoqing Gu; Lingyun Huang; Haoran Xie; Minhong Wang – Education and Information Technologies, 2025
In the 21st century, the urgent educational demand for cultivating complex skills in vocational training and learning is met with the effectiveness of the four-component instructional design model. Despite its success, research has identified a notable gap in the address of formative assessment, particularly within computer-supported frameworks.…
Descriptors: Models, Instructional Design, Computer Assisted Testing, Formative Evaluation
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Xuanyan Zhong; Zehui Zhan – Interactive Technology and Smart Education, 2025
Purpose: The purpose of this study is to develop an intelligent tutoring system (ITS) for programming learning based on information tutoring feedback (ITF) to provide real-time guidance and feedback to self-directed learners during programming problem-solving and to improve learners' computational thinking. Design/methodology/approach: By…
Descriptors: Intelligent Tutoring Systems, Computer Science Education, Programming, Independent Study
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Liu Wang; GuangTao Xu – Education and Information Technologies, 2024
The self-explanation strategy motivates learners to actively select and integrate information, thereby fostering meaningful learning. To generate comprehensive and insightful explanations, learners often require support. However, there is a limited understanding of the optimal form of self-explanation that effectively assists learners in applying…
Descriptors: Cues, Learning Motivation, Self Concept, Epistemology
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Chou, Yin-Yu; Wu, Pei-Fen; Huang, Chun-Yen; Chang, Shan-Hsi; Huang, Hwa-Shan; Lin, Wei-Min; Lin, Man-Li – Asia-Pacific Education Researcher, 2022
This study explores whether learning approaches combining augmented reality and multidimensional concept maps (ARMCMs) would improve learning effectiveness, learning motivation, learning satisfaction, and cognitive load more than multidimensional concept maps (MCMs) and augmented reality (AR) learning do. The study employed a quasi-experimental…
Descriptors: Computer Simulation, Concept Mapping, Learning Motivation, Instructional Effectiveness
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Kumar, Amit; Mantri, Archana – Education and Information Technologies, 2022
Embedded system course requires the manifestation of acquired knowledge through the transfer of the relevant skill set in a hands on environment to achieve the respective course outcome. Laboratory skills provide the optimum exposure and experiential learning to obtain real time solutions for real time problems. The present embedded system course…
Descriptors: Engineering Education, Laboratories, Experiential Learning, Computer Simulation
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Own, Chung-Ming; Cai, Tingting; Hung, Cheng-Yu – IEEE Transactions on Learning Technologies, 2023
Studies have highlighted the possible advantages of tangible user interfaces (TUIs) over multitouch interfaces (MTIs) in preschool education; however, more objective evidence is required to establish the superiority of TUIs. In this article, we design a mathematical application called THE NUMBERS to compare preschool children's learning potential…
Descriptors: Preschool Children, Preschool Education, Computer Interfaces, Computer Uses in Education
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Ninaus, Manuel; Kiili, Kristian; Wood, Guilherme; Moeller, Korbinian; Kober, Silvia Erika – IEEE Transactions on Learning Technologies, 2020
Research on instructional design provides inconsistent results on the use of game elements in cognitive tasks or learning. Cognitive load theory suggests that game elements increase extraneous cognitive load and, thus, may distract the users. In contrast, from an emotional design perspective, the use of game elements is argued to increase…
Descriptors: Instructional Design, Game Based Learning, Cognitive Processes, Difficulty Level
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Chen, Ching-Huei; Liu, Tung-Kai; Huang, Kun – Journal of Research on Technology in Education, 2023
With the rapid development of artificial intelligence in many disciplines, computational thinking (CT) has become an important skill for the 21st century. To promote vocational high school students' CT skills in learning about programmable logic controllers, this study intended to examine how cognitive and metacognitive prompts separately or…
Descriptors: Vocational High Schools, High School Students, Thinking Skills, Computation
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Huang, Hsiu-Ling; Hwang, Gwo-Jen; Chen, Pei-Ying – British Journal of Educational Technology, 2022
Scholars and researchers generally believe that scientific inquiry is an important activity for cultivating students' applied knowledge and high-level thinking ability. The process of scientific inquiry can promote students' learning motivation and trigger their higher-order thinking ability. However, students may not have enough prior knowledge…
Descriptors: Concept Mapping, Visual Perception, Recognition (Psychology), Science Process Skills
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