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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
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Zhongling Pi; Huixin Chai; La Li; Xinru Zhang; Xiying Li – Journal of Computer Assisted Learning, 2024
Background: Learning from video lectures with peers, that is, co-viewing video lectures, is a common mode of learning across a wide range of ages and topics in the information age. Objectives: The present study tested the effects of learners' motivation on co-viewing video lectures in terms of learning performance, mental effort, and interpersonal…
Descriptors: Learning Motivation, Cooperative Learning, Video Technology, Lecture Method
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Skulmowski, Alexander – Journal of Computer Assisted Learning, 2022
Background: Realistic visualizations have been associated with benefits in retention performance, but also with disadvantages in transfer tasks. Realistic details are considered to be helpful for the initial learning of content, but not for the generalization to other domains and tasks. Objectives: The contradictory nature of previous evidence…
Descriptors: Transfer of Training, Visualization, Anatomy, Geometric Concepts
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Robert F. Siegle; Scotty D. Craig – Journal of Computer Assisted Learning, 2024
Background: The voices virtual on-screen characters use has been shown to impact learning and perception outcomes. Recent replication research on these voices showed that synthetic voices were not a detriment if produced by a high-quality engine with clear articulation. The current manuscript examines previous accent research that utilized now…
Descriptors: Acoustics, Artificial Intelligence, Electronic Learning, Quality Assurance
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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
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Anna Flavia Di Natale; Claudia Repetto; Daniela Villani – Journal of Computer Assisted Learning, 2024
Background: Online synchronous learning in higher education frequently struggles to overcome the social presence gap, resulting in dissatisfaction and poor learning outcomes. Objectives: This study examined the effectiveness of desktop-based virtual reality (VR) social platforms compared to video conferencing (VC) platforms in enhancing students'…
Descriptors: Computer Simulation, Social Media, Computers, Teleconferencing
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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
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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
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Kühl, Tim; Münzer, Stefan – Journal of Computer Assisted Learning, 2021
According to the personalization principle, addressing learners by means of a personalized compared to a nonpersonalized message can foster learning. Interestingly, though, a recent study found that the personalization principle can invert for aversive contents. The present study investigated whether the negative effect of a personalized message…
Descriptors: Diseases, Information Dissemination, Psychological Patterns, College Students
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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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Yi-Fan Li; Jue-Qi Guan; Xiao-Feng Wang; Qu Chen; Gwo-Jen Hwang – Journal of Computer Assisted Learning, 2024
Background: Self-regulated learning (SRL) is a predictive variable in students' academic performance, especially in virtual reality (VR) environments, which lack monitoring and control. However, current research on VR encounters challenges in effective interventions of cognitive and affective regulation, and visualising the SRL processes using…
Descriptors: Electronic Learning, Individualized Instruction, Learning Processes, Performance
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Mugur V. Geana; Dan Cernusca; Pan Liu – Journal of Computer Assisted Learning, 2024
Background: Education is, after gaming, the second largest sector embracing augmented reality (AR) at an accelerated pace, yet studies on AR's potential as an efficient learning environment had mixed results. Objectives: This study's primary objective is to test students' interaction with graphical 3D elements in AR and its impact on information…
Descriptors: Learner Engagement, Computer Simulation, Technology Uses in Education, Information Dissemination
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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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Park, Jongchan; Park, Chaeyeon; Jung, Hyojung; Kim, Dongsik – Journal of Computer Assisted Learning, 2020
In case library learning, an instructional method that promotes case-based problem solving, learners often struggle with indexing cases. Poor case indexing may hamper retention and retrieval of cases, hindering the construction of mental libraries in learners. To address this issue, the authors developed two indexing prompt types,…
Descriptors: Case Method (Teaching Technique), Problem Solving, Prompting, Persuasive Discourse
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