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Fuxing Wang; Xiaoxue Leng; Ziyi Kuang; Tingting Zhao – Journal of Computer Assisted Learning, 2025
Background: Both eye movement modelling examples (EMMEs) and cues guide attention and improve learning in multimedia learning environments. EMME can act as a special form of cue. However, no studies have directly examined whether EMME would be superior to visual cues. Objective: The study was to investigate whether there were advantages of EMME…
Descriptors: Eye Movements, Cues, Attention, Multimedia Instruction
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Daniela Decker; Martin Merkt – Journal of Computer Assisted Learning, 2024
Background: Virtual reality (VR) offers much potential for learning, but it challenges learners' orientation. Objectives: This paper investigates whether it is possible to use light or movement cues to facilitate orientation in a search task in a desktop-VR environment so that participants can better attend to the learning content presented…
Descriptors: Cues, Educational Technology, Computer Simulation, Light
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Lei Han; Haoyue Guo; Zongshuo Ma; Ruihua Wang; Mengshi Xiao – Journal of Computer Assisted Learning, 2024
Background: Given the current technological advancements and the growing need for remote education, multimedia learning has become more popular among teachers and students. Therefore, the creation of multimedia teaching programmes that can improve learning outcomes has become increasingly important. However, there is a lack of research on whether…
Descriptors: College Students, College Faculty, Multimedia Instruction, Visual Stimuli
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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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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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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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Greving, Sven; Lenhard, Wolfgang; Richter, Tobias – Journal of Computer Assisted Learning, 2020
Retrieval practice promotes retention more than restudying (i.e., the "testing effect") and is applied to many educational settings. However, little research has investigated means to enhance this effect in educational settings. Theoretical accounts assume retrieval practice to be the most effective whenever retrieval is difficult but…
Descriptors: Multiple Choice Tests, Recall (Psychology), Retention (Psychology), Adaptive Testing
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Joo, Hyun; Park, Jongchan; Kim, Dongsik – Journal of Computer Assisted Learning, 2021
In their prior research on adaptive instruction for multi-representational learning, the researchers explored various perspectives on designing visual representations and scaffolds. However, controversies and discrepancies regarding the fidelity of visual representations and self-explanation prompts have yet to be resolved. This research thus…
Descriptors: Visual Aids, Fidelity, Cues, College Students
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Chen, Fei; Xia, Quansheng; Feng, Yan; Wang, Lan; Peng, Gang – Journal of Computer Assisted Learning, 2023
Background: Teaching Mandarin as a second language (L2) has become an important profession and an important research area. The acquisition of unaspirated and aspirated consonants in Mandarin has been reported to be rather challenging for L2 learners. Objectives: In the current study, a 3-D airflow model was integrated into the virtual talking head…
Descriptors: Computer Assisted Instruction, Second Language Instruction, Mandarin Chinese, Models
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Coskun, Atakan; Cagiltay, Kursat – Journal of Computer Assisted Learning, 2022
Background: The most challenging task in eye-tracking-based multimedia research is to establish a relationship between eye-tracking metrics (or cognitive processes) and learners' performance scores. Additionally, there are current debates about the effectiveness of animations (or simulations) in promoting learning in multimedia settings.…
Descriptors: Eye Movements, Cognitive Processes, Animation, Multimedia Instruction
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Kok, Ellen; Hormann, Olle; Rou, Jeroen; Saase, Evi; der Schaaf, Marieke; Kester, Liesbeth; Gog, Tamara – Journal of Computer Assisted Learning, 2022
Background: Performance monitoring plays a key role in self-regulated learning, but is difficult, especially for complex visual tasks such as navigational map reading. Gaze displays (i.e. visualizations of participants' eye movements during a task) might serve as feedback to improve students' performance monitoring. Objectives: We hypothesized…
Descriptors: Metacognition, Eye Movements, Task Analysis, Visualization
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Lee, Yuan-Hsuan – Journal of Computer Assisted Learning, 2022
Background: Processing and comprehending information from multiple sources have been a primary means of learning and are essential 21st-century skills to construct knowledge for a deeper understanding. Objectives This study examined students' individual differences in search strategies and internet epistemic beliefs as well as the effect of…
Descriptors: Reading Comprehension, Search Strategies, Online Searching, Internet
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Chung, Sungwon; Cheon, Jongpil – Journal of Computer Assisted Learning, 2020
Emotional design for multimedia learning can be implemented primarily using aesthetic design elements (e.g., color, shape and layout); however, we still have limited understanding on emotional design using content features visually depicting motivational cues. This study examines how valence and arousal of emotional learning content, generated by…
Descriptors: Psychological Patterns, Multimedia Instruction, Design, Motivation
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Vogelaar, Bart; Veerbeek, Jochanan; Splinter, Suzanne E.; Resing, Wilma C. M. – Journal of Computer Assisted Learning, 2021
This study aimed to investigate children's potential for reasoning by analogy utilizing a newly-developed computerized dynamic test, and the potential differential influence of executive functions (cognitive flexibility, attention, and planning) on static and dynamic measures of analogical reasoning. Participants included 64 children (mean age =…
Descriptors: Thinking Skills, Executive Function, Computer Assisted Testing, Children
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Munshi, Anabil; Biswas, Gautam; Baker, Ryan; Ocumpaugh, Jaclyn; Hutt, Stephen; Paquette, Luc – Journal of Computer Assisted Learning, 2023
Background: Providing adaptive scaffolds to help learners develop effective self-regulated learning (SRL) behaviours has been an important goal for intelligent learning environments. Adaptive scaffolding is especially important in open-ended learning environments (OELE), where novice learners often face difficulties in completing their learning…
Descriptors: Scaffolding (Teaching Technique), Metacognition, Independent Study, Intelligent Tutoring Systems
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