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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
Burç Çeken; Nazim Taskin – Journal of Computer Assisted Learning, 2025
Background: Multimedia learning, encapsulating both visual and verbal information, has become pivotal in educational settings, with extensive research underscoring its influence. However, a notable research gap exists concerning the application and effectiveness of multimedia learning principles, precisely segmenting, pre-training and modality,…
Descriptors: Multimedia Instruction, Computer Simulation, Educational Environment, Instructional Effectiveness
Leah S. Mahler; Richard E. Mayer – Journal of Computer Assisted Learning, 2024
Background: Emotional design of multimedia lessons involves adding features that are intended to increase learner enjoyment and promote learning--such as adding narrative, anthropomorphizing non-human elements, and using warm colours. Objective: The present study extends this work to examine the potential of Japanese animation (anime) for…
Descriptors: Multimedia Instruction, Animation, Cartoons, Science Instruction
Wu, Changcheng; Jing, Bin; Gong, Xue; Ma, Xunzhou – Journal of Computer Assisted Learning, 2023
Background: Zoomorphism, an obverse of conventional anthropomorphism, has been shown in many cases to be a powerful tool with respect to the metaphorical use of animals. Objectives: This study introduced zoomorphism into the instructional video design of pedagogical agents (PAs). Method: We first developed three image sets, each of which…
Descriptors: Instructional Films, Imagery, Animals, Instructional Design
Sidi, Yael; Blau, Ina; Shamir-Inbal, Tamar – Journal of Computer Assisted Learning, 2022
Background: Hyper-video technology allows reflection on learning materials by writing personal notes and by interactions with lecturers and peers through shared posts and replies. While research shows that integrating hyper-videos in educational systems can promote the learning processes and outcomes, an open question remains regarding its actual…
Descriptors: Active Learning, Cooperative Learning, College Students, Documentation
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
Robert O. Davis; Yong-Jik Lee; Joseph Vincent; Lili Wan – Journal of Computer Assisted Learning, 2024
Background: Gestures are an integral component in human-to-human communication when the speaker is visually present to the listener. In the past several years, research has examined how computer-generated pedagogical agents can be designed to perform the four main gesture types and what this means for agent persona and learning outcomes. The…
Descriptors: Nonverbal Communication, Interpersonal Communication, Multimedia Instruction, Imagery
Wang, Yanqing; Wang, Fuxing; Mayer, Richard E.; Hu, Xiangen; Gong, Shaoying – Journal of Computer Assisted Learning, 2023
Background: How to improve learning with online multimedia lessons has attracted widespread concern. Prior studies have attempted to help students learn by breaking a video lesson into several segments. However, there has been a debate about whether learners can use pause time effectively and whether prompting them to engage in different types of…
Descriptors: Multimedia Instruction, Multimedia Materials, Prompting, Documentation
Cheng, Meixia; Wang, Fuxing; Mayer, Richard E. – Journal of Computer Assisted Learning, 2023
Background: Learning-by-teaching is a generative learning strategy in which students are told they will have to teach what they are learning to others. Although learning-by-teaching has been shown to be effective in some cases, few studies have established guidelines for how to optimize the benefits of learning-by-teaching as a generative learning…
Descriptors: Educational Benefits, Student Developed Materials, Film Production, Instructional Films
Klingenberg, Sara; Fischer, Rachel; Zettler, Ingo; Makransky, Guido – Journal of Computer Assisted Learning, 2023
Introduction: This study investigates the effectiveness of the segmentation principle from the cognitive theory of multimedia learning as well as the effectiveness of the generative learning strategy of summarization in immersive virtual reality (IVR) within a sample of preadolescents. Although previous research has supported the effectiveness of…
Descriptors: Computer Simulation, Computer Uses in Education, Secondary School Students, STEM Education
Liu, Yinan – Journal of Computer Assisted Learning, 2023
Background Studies: Captioning and repetition are widely used multimedia instructional devices for non-native students. Generally, studies in this area have tended to focus on second language literacy skills rather than on learning new content knowledge. Additionally, posttests were administered immediately after the treatments, while the delayed…
Descriptors: Captions, Repetition, Foreign Countries, College Students
Bender, Lisa; Renkl, Alexander; Eitel, Alexander – Journal of Computer Assisted Learning, 2021
Background: Past research has shown that seductive details (i.e., interesting, but irrelevant adjuncts in learning materials) hamper learning in short, instructor-paced learning sessions through impaired cognitive processing. Objectives: We integrate theory and research on multimedia learning and self-control to test whether detrimental effects of…
Descriptors: Instructional Materials, Lecture Method, Multimedia Instruction, Relevance (Education)
Lisa Stark; Andreas Korbach; Roland Brünken; Babette Park – Journal of Computer Assisted Learning, 2024
Background: Both learning and problem solving are major goals of complex problem solving in engineering education. The order of knowledge construction and problem solving in learning through problem solving, however, has not been explained in current literature. Objectives: To understand their relationships, this study compared the effects of…
Descriptors: Metacognition, Multimedia Instruction, Multimedia Materials, Eye Movements
Greenberg, Kevin; Zheng, Robert; Gardner, Michael; Orr, Matthew – Journal of Computer Assisted Learning, 2021
The cognitive theory of multimedia learning postulates learning information in a dual-modality design is more effective than in a single modality, which is known as the modality effect. Research has found that the modality effect supports problem-solving learning, but not retention-based learning. This divergence in findings can be explained by…
Descriptors: Individual Differences, Spatial Ability, Visual Perception, Short Term Memory
Jiarui Hou; James F. Lee; Stephen Doherty – Journal of Computer Assisted Learning, 2025
Background: Recent research has demonstrated the potential of mobile-assisted learning to enhance learners' learning outcomes. In contrast, the learning processes in this regard are much less explored using eye tracking technology. Objective: This systematic review study aims to synthesise the relevant work to reflect the current state of eye…
Descriptors: State of the Art Reviews, Eye Movements, Electronic Learning, Handheld Devices