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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
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
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
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
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
Salmerón, L.; Naumann, J.; García, V.; Fajardo, I. – Journal of Computer Assisted Learning, 2017
When students solve problems on the Internet, they have to find a balance between quickly scanning large sections of information in web pages and deeply processing those that are relevant for the task. We studied how high school students articulate scanning and deeper processing of information while answering questions using a Wikipedia document,…
Descriptors: Protocol Analysis, Eye Movements, Problem Solving, Hypermedia