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Showing 16 to 30 of 73 results Save | Export
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Meier, Julius; Jong, Bastian; Montfort, Dorien Preusterink; Verdonschot, Anouk; Wermeskerken, Margot; Gog, Tamara – Journal of Computer Assisted Learning, 2023
Background: There are only few guidelines on how instructional videos should be designed to optimize learning. Recently, the effects of social cues on attention allocation and learning in instructional videos have been investigated. Due to inconsistent results, it has been suggested that the visual complexity of a video influences the effect of…
Descriptors: Video Technology, Cues, Attention, Social Influences
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Yuko Suzuki; Fridolin Wild; Eileen Scanlon – Journal of Computer Assisted Learning, 2024
Background: Cognitive load during AR use has been measured conventionally by performance tests and subjective rating. With the growing interest in physiological measurement using non-invasive biometric sensors, unbiased real-time detection of cognitive load in AR is expected. However, a range of sensors and parameters are used in various subject…
Descriptors: Computer Simulation, Cognitive Processes, Difficulty Level, Physiology
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Buchner, Josef; Buntins, Katja; Kerres, Michael – Journal of Computer Assisted Learning, 2022
Background: Previous studies on augmented reality-enriched learning and training indicated conflicting results regarding the cognitive load involved: some authors report that AR can reduce cognitive load, others have shown that AR is perceived as cognitively demanding and can lead to poorer performance. Objectives: The aim of this study is to…
Descriptors: Computer Simulation, Educational Technology, Technology Uses in Education, Difficulty Level
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Cao, Yang; Gong, Shao-Ying; Wang, Zhen; Cheng, Yang; Wang, Yan-Qing – Journal of Computer Assisted Learning, 2022
Background: As one of the gamification elements, leaderboard, especially absolute leaderboard, is widely used in educational gamification systems. However, empirical studies on the optimal use condition of the leaderboard and underlying influence mechanisms are deficient. Objectives: This study explored which difficulty was more conducive to…
Descriptors: Goal Orientation, Difficulty Level, Learning Motivation, Educational Games
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Carolien A. N. Knoop-van Campen; Joep van der Graaf; Anne Horvers; Rianne Kooi; Rick Dijkstra; Inge Molenaar – Journal of Computer Assisted Learning, 2024
Background: Even though monitoring and control enactment are key aspects of self-regulated learning (SRL), Adaptive learning technologies (ALTs) may reduce the need for learners to monitor and control their learning. Personalized dashboards are effective in supporting learners' monitoring and can potentially support control behaviour. Allowing…
Descriptors: Elementary School Students, Grade 5, Educational Technology, Technology Uses in Education
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Julius Moritz Meier; Peter Hesse; Stephan Abele; Alexander Renkl; Inga Glogger-Frey – Journal of Computer Assisted Learning, 2024
Background: In example-based learning, examples are often combined with generative activities, such as comparative self-explanations of example cases. Comparisons induce heavy demands on working memory, especially in complex domains. Hence, only stronger learners may benefit from comparative self-explanations. While static text-based examples can…
Descriptors: Video Technology, Models, Cues, Problem Solving
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Makransky, Guido; Klingenberg, Sara – Journal of Computer Assisted Learning, 2022
Objective: Many industries struggle with training dynamic risk assessment, and how to bridge the gap between safety training and behavior in real life scenarios. In this article, we focus on dynamic risk assessment during a mooring operation and investigate the potential value of using immersive virtual reality (VR) simulations compared to…
Descriptors: Computer Simulation, Safety Education, Marine Education, Job Training
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Gruss, Richard; Clemons, Josh – Journal of Computer Assisted Learning, 2023
Background: The sudden growth in online instruction due to COVID-19 restrictions has given renewed urgency to questions about remote learning that have remained unresolved. Web-based assessment software provides instructors an array of options for varying testing parameters, but the pedagogical impacts of some of these variations has yet to be…
Descriptors: Test Items, Test Format, Computer Assisted Testing, Mathematics Tests
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Shunmeng Chen – Journal of Computer Assisted Learning, 2025
Background: Computer-mediated writing classes have experienced a significant increase in popularity in recent years, serving as an effective modality for enhancing writing skills within an online framework. Objectives: This study seeks to bridge the gap in the literature by investigating the effectiveness of cognitive, social, and group-awareness…
Descriptors: Cognitive Processes, Difficulty Level, Computer Assisted Instruction, Writing Instruction
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Lion Sieg; Hendrik Eismann; Bertrand Schneider; Jan Karsten; Dogus Darici – Journal of Computer Assisted Learning, 2025
Background: Research in social cognition suggests that learning effectiveness in teacher-learner pairs may be influenced by how well their attention aligns with each other. However, we currently have limited understanding of how common distractions in real-world environments affect teacher-student interactions, specifically the synchronisation of…
Descriptors: Attention Control, Social Cognition, Teacher Student Relationship, Interaction
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Israel-Fishelson, Rotem; Hershkovitz, Arnon – Journal of Computer Assisted Learning, 2021
Persistence has been identified as a crucial quality of learning. However, it is hard to attain in online game-based environments as the drive to progress in the game may influence the ability to achieve the learning goals. This study aimed to examine the associations between micro-persistence, that is, the tendency to complete an individual task…
Descriptors: Game Based Learning, Persistence, Difficulty Level, Thinking Skills
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Baceviciute, Sarune; Lucas, Gordon; Terkildsen, Thomas; Makransky, Guido – Journal of Computer Assisted Learning, 2022
Background: The increased availability of immersive virtual reality (IVR) has led to a surge of immersive technology applications in education. Nevertheless, very little is known about how to effectively design instruction for this new media, so that it would benefit learning and associated cognitive processing. Objectives: This experiment…
Descriptors: Computer Simulation, Simulated Environment, Eye Movements, Diagnostic Tests
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Ziyi Kuang; Fuxing Wang; Frank Andrasik; Xiangen Hu – Journal of Computer Assisted Learning, 2024
Background: Little is known about the effectiveness of instructors when presenting content in videos alone. In recent years, researchers have increasingly begun to explore the effects of instructors' social cues (e.g., eye gaze, body orientation, etc.) on learning. However, previous studies exploring the effects of eye gaze have confounded the…
Descriptors: Teacher Behavior, Eye Movements, Human Body, Teacher Effectiveness
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Doug Kueker; Joi Moore – Journal of Computer Assisted Learning, 2024
Background: Learning to use software using screencast videos with worked examples in the corresponding practice files presents a classic split-attention problem that requires learners to mentally integrate information from the video with a target application. While there is evidence that splitting attention either temporally or spatially adversely…
Descriptors: Participant Observation, Interactive Video, Computer Peripherals, Attention Control
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Miller, Robert A.; Stenmark, Cheryl K.; van Ittersum, Kyle – Journal of Computer Assisted Learning, 2020
Dual display desktop computers are becoming more prevalent in the home, workplace, and schools, yet there has been little research into how learning and productivity are impacted by having a second display. One useful method in exploring this question is to measure cognitive load during an intensive learning event. This study compared perceived…
Descriptors: Computers, Computer Peripherals, Visual Aids, Computer System Design
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