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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
Sun Kyung Kim; Youngho Lee; Hye Ri Hwang; Oe Nam Kim – Journal of Computer Assisted Learning, 2025
Background: Comprehensive assessment of skills and performance are necessary to improve the quality of care in nursing education. Various factors pose challenges to accurate assessments, including high student-teacher ratio and observer bias. Objectives: To establish an assessment system based on first-person video of smart glasses and validate…
Descriptors: Handheld Devices, Technology, Video Technology, Evaluation Methods
Johanna Pöysä-Tarhonen; Shupin Li; Jarkko Hautala; Nafisa Awwal; Päivi Häkkinen – Journal of Computer Assisted Learning, 2025
Background: Collaborative problem-solving (CPS), encompassing social and cognitive domains, is recognised as a critical competency for current and future learners. While the cognitive domain, rooted in individual problem-solving, is relatively well understood, the social domain, manifested through social interaction, remains a challenge,…
Descriptors: Problem Solving, Distance Education, Attention Control, Cooperative Learning
Sivakorn Malakul – Journal of Computer Assisted Learning, 2025
Background: Artificial intelligence (AI) tools have been increasingly utilised in the production of educational media, including animated educational videos (AEVs) incorporating pedagogical agents (PAs). These tools support the efficient creation of multimedia content and reduce teachers' technical workload. Objectives: This study investigates the…
Descriptors: Artificial Intelligence, Educational Technology, Technology Uses in Education, Teacher Attitudes
Adi Perry-Kates; Anat Cohen – Journal of Computer Assisted Learning, 2025
Background: In light of the growing need to understand interactive learning effectivity and especially post-COVID 19 pandemic constraints, the key question is how to develop interactive videos in order to get the most effective results. Objectives: This research aims to explore the pedagogical benefits of interactive video with branching…
Descriptors: Video Technology, Interaction, Instructional Effectiveness, Teaching Methods
Farzaneh Sheikhzadeh; Rasool Abedanzadeh; Eliot Hazeltine – Journal of Computer Assisted Learning, 2025
Background: Today, active video games, in which players' own body movements are used to control the avatar, can be used to teach students motor skills by providing concurrent feedback. The purpose of this study is to investigate the effectiveness of concurrent and delayed feedback on basketball free throw learning. Methods: Thirty female students…
Descriptors: Team Sports, Student Athletes, Females, Athletics
Cynthia Y. Delgado; Richard E. Mayer – Journal of Computer Assisted Learning, 2025
Background: In recent years, immersive virtual reality in education has garnered attention, however, there have been mixed findings on the efficacy of IVR in education. Thus, exploring which strategies are effective in transferring learning from IVR to real-world applications is imperative. Objective: This study aims to investigate the efficacy of…
Descriptors: Computer Simulation, Experiential Learning, Instructional Effectiveness, Transfer of Training
Zhongling Pi; Xuran Li; Mengjie Tong; Xin Zhao; Jiayu Wang; Xiying Li; Xiangchao Guo – Journal of Computer Assisted Learning, 2025
Background: Instructors' facial expressions in instructional videos can greatly influence how learners perceive their emotions, thereby affecting students' attention to the learning content and their overall performance. While the short-term effects of instructors' specific facial expressions in instructional videos have been well documented, less…
Descriptors: Video Technology, Technology Uses in Education, Teacher Behavior, Nonverbal Communication
Ke Xu; Xin Guo; Xinjing Zhang; Yi Zhang; Zhongling Pi; Jiumin Yang – Journal of Computer Assisted Learning, 2025
Background: Previous studies have indicated that encouraging learners to teach to their peers has been proven effective in second language learning. However, to date, no research has focused on how learners teaching to peers of varying proficiency levels impacts video learning performance and the cognitive neuroscience mechanisms of learners.…
Descriptors: Peer Teaching, Second Language Learning, Video Technology, Electronic Learning
Tristan H. S. de Jonge; Timo Kegelaar; Fabiola Figueroa Esquivel – Journal of Computer Assisted Learning, 2025
Background: Learner-generated digital media has gained significant attention as a supplementary learning tool. However, a need exists for empirical research to discern among various learner-generated digital media formats. One potential area of divergence lies in the arousal levels evoked during media creation due to varying emphasis on the…
Descriptors: Student Projects, Multimedia Materials, Nonverbal Communication, Comparative Analysis
Juan M. Pieschacon; Ross T. Smith; Andrew Cunningham; Ellen O'Callaghan; Daniel Harvie – Journal of Computer Assisted Learning, 2025
Background: Physiotherapy education traditionally relies on face-to-face instruction for teaching complex manual therapy techniques. Current remote teaching methods struggle to convey spatial aspects of physical techniques, limiting their effectiveness for practical skills training. Few examples were found of immersive training systems for…
Descriptors: Spatial Ability, Visualization, Physical Therapy, Training
Zeng-Wei Hong; Che-Lun Liang; Ming-Chi Liu – Journal of Computer Assisted Learning, 2025
Background: Online video-based learning often leads to fatigue, which detracts from engagement and learning outcomes. Previous studies have examined monitoring mental states like attention through electroencephalography (EEG) headsets, but limitations such as high costs, discomfort, and limited scalability persist. Objectives: This study evaluates…
Descriptors: Technology Uses in Education, Electronic Learning, Video Technology, Fatigue (Biology)
Yuan Tian; Zhongjian Liu; Hainuo Liu; Min Fang – Journal of Computer Assisted Learning, 2025
Background: Online videos featuring human-generated drawing are increasingly popular in education. However, their effectiveness may vary depending on learners' prior knowledge, and further research is needed to confirm their advantages over other common instructional videos. Objectives: The primary goal of this study is to investigate the impact…
Descriptors: Video Technology, Educational Technology, Instructional Films, Freehand Drawing
Meina Zhu – Journal of Computer Assisted Learning, 2025
Background: Computer programming learning and education play a critical role in preparing a workforce equipped with the necessary skills for diverse fields. ChatGPT and YouTube are technologies that support self-directed programming learning. Objectives: This study aims to examine the sentiments and primary topics discussed in YouTube comments…
Descriptors: Computer Science Education, Programming, Social Media, Video Technology
Hai-Jie Wang; Kai Chen; Youmei Wang; Chen-Chen Liu – Journal of Computer Assisted Learning, 2025
Background: Vocal music is a multifaceted subject, as students not only need to master skills but also to appreciate and critically interpret the singing process. Conventional vocal music learning methods emphasise practice and feedback, but deeper learning often stems from reflective assessment, especially when students adopt the perspective of…
Descriptors: Music Education, Teaching Methods, Singing, Music Appreciation
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