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Yun Zhang; Fangzheng Zhao; Richard E. Mayer – Journal of Computer Assisted Learning, 2025
Background and Objective: The positivity principle states that students learn better from instructors who display positive rather than negative or neutral emotions in multimedia lessons (Lawson et al. 2021a). This study extends this work by exploring the role of affective and social cues displayed by feedback providers, such as their emotional…
Descriptors: Multimedia Instruction, Psychological Patterns, Feedback (Response), Gender Differences
Fangzheng Zhao; Richard E. Mayer – Journal of Computer Assisted Learning, 2025
Introduction: While prior research has delved into the emotional aspects of instructional design, it has not extensively examined whether integrating affective features specifically relevant to the theme of the learning materials is essential for enhancing learning effectiveness compared to incorporating general affective features. This study aims…
Descriptors: Multimedia Instruction, Teaching Methods, Cartoons, Psychological Patterns
Meiyan Huang; Tang Yongquan – Journal of Computer Assisted Learning, 2025
Aim: In recent years, the integration of cutting-edge technology into professional sports training (ST) has revolutionized the way athletes prepare for competition. The study aims to quantitatively analyse the impact of cutting-edge technology on enhancing performance, efficiency, and outcomes in professional ST programs. Purpose: The purpose of…
Descriptors: Athletics, Technology, Influence of Technology, Training
Daniela Olea-Ibarra; Christian Hartmann; Maria Bannert – Journal of Computer Assisted Learning, 2025
Background: Enjoyment and epistemic emotions are essential in education as they drive learners to actively and persistently engage with learning material. Augmented Reality (hereinafter referred to as AR) is an emerging educational tool that offers unique opportunities for immersive learning experiences. By incorporating AR into the learning…
Descriptors: Psychological Patterns, Positive Attitudes, Computer Simulation, Active Learning
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
Gi-Zen Liu; Jalil Fathi; Masoud Rahimi – Journal of Computer Assisted Learning, 2024
Background: The impact of digital gamified language learning on language achievement has been corroborated in the literature; however, its impact on language achievement, especially in the English as a foreign language (EFL) context needs further investigation. In addition, the related literature has not sufficiently confirmed the impact of…
Descriptors: Gamification, Academic Achievement, Second Language Learning, Student Attitudes
Katherine Frances McLay; Vicente Chua Reyes Jr. – Journal of Computer Assisted Learning, 2024
Background: This research was motivated by noticing shortcomings in the TPACK framework, which does not take account of the affective dimension (e.g., emotions, moods, attitudes and values) of teaching and learning with and about technology, despite this being a key predictor of whether teachers incorporate technology into teaching and learning.…
Descriptors: Pedagogical Content Knowledge, Technological Literacy, 21st Century Skills, Technology Uses in Education
Mohd Khairulnizam Ramlie; Ahmad Zamzuri Mohamad Ali – Journal of Computer Assisted Learning, 2024
Background: Effective communication in education employs diverse methods, with hologram technology representing teaching staff. Holograms, using different character realism levels, aim to sustain student interest and motivation. This study explores whether student valence, influenced by hologram tutor character appearance, significantly mediates…
Descriptors: Information Technology, Visual Aids, Computer Simulation, Student Interests
Gwo-Jen Hwang; Jalil Fathi; Masoud Rahimi – Journal of Computer Assisted Learning, 2025
Background: The utilisation of video-dubbing tasks, wherein learners record their voices over video clips to practise pronunciation, fluency, grammatical accuracy, and vocabulary use, is relatively novel in the English language learning context. Exploring the effectiveness of video-dubbing tasks can lead to more innovative and effective speaking…
Descriptors: English (Second Language), Second Language Learning, Speech Skills, Cognitive Processes
Ute Mertens; Marlit A. Lindner – Journal of Computer Assisted Learning, 2025
Background: Educational assessments increasingly shift towards computer-based formats. Many studies have explored how different types of automated feedback affect learning. However, few studies have investigated how digital performance feedback affects test takers' ratings of affective-motivational reactions during a testing session. Method: In…
Descriptors: Educational Assessment, Computer Assisted Testing, Automation, Feedback (Response)
Explaining Trace-Based Learner Profiles with Self-Reports: The Added Value of Psychological Networks
Jelena Jovanovic; Dragan Gaševic; Lixiang Yan; Graham Baker; Andrew Murray; Danijela Gasevic – Journal of Computer Assisted Learning, 2024
Background: Learner profiles detected from digital trace data are typically triangulated with survey data to explain those profiles based on learners' internal conditions (e.g., motivation). However, survey data are often analysed with limited consideration of the interconnected nature of learners' internal conditions. Objectives: Aiming to enable…
Descriptors: Psychological Patterns, Networks, Profiles, Learning Processes
Yu-Shan Chang – Journal of Computer Assisted Learning, 2025
Background: Due to the rapid development of artificial intelligence (AI) and the widespread adoption of online learning post-COVID-19, the metaverse has become an important strategy for innovative teaching. Objectives: This study aimed to investigate the impact of the metaverse on learning engagement, learning emotions, and creative performance in…
Descriptors: Learner Engagement, Psychological Patterns, Emotional Response, Artificial Intelligence
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
Yawen Shi; Zengzhao Chen; Mengke Wang; Shaohui Chen; Jianwen Sun – Journal of Computer Assisted Learning, 2024
Background: Guided gaze is the instructor's gaze towards teaching materials to guide students' attention, and it plays a vital role in enhancing video-based education. The duration of guided gaze, indicating how long instructors focus on teaching materials, varies based on the lecture design. Nevertheless, the impact of varying durations of guided…
Descriptors: Teacher Behavior, Eye Movements, Lecture Method, Video Technology
Zohre Mohammadi Zenouzagh; Wilfried Admiraal; Nadira Saab – Journal of Computer Assisted Learning, 2024
Background study: Although the number of computer-based instruction has increased drastically, the understanding of how design features of learning modality can affect learning remains incomplete. This partly stems from studies' heavy focus on modified output. Therefore, how interactive nature of computer-mediated learning feeds into learning is…
Descriptors: Computer Mediated Communication, Communication Skills, Self Control, Learner Engagement
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