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Davy Tsz Kit Ng; Chen Xinyu; Jac Ka Lok Leung; Samuel Kai Wah Chu – Journal of Computer Assisted Learning, 2024
Background: As the significance of artificial intelligence (AI) continues to increase, there is a need for effective scaffolding and support for novice learners. Educators have encountered challenges in effectively scaffolding novice learners AI concepts, and providing appropriate motivational support. Research evidence has shown the potential of…
Descriptors: Artificial Intelligence, Novices, Scaffolding (Teaching Technique), Game Based Learning
Peidi Gu; Zui Cheng; Cheng Miaoting; John Poggio; Yan Dong – Journal of Computer Assisted Learning, 2025
Background: Today, the importance of STEM (Science, Technology, Engineering and Mathematics) education and training is widely recognised and accepted. Computer programming courses have become essential in higher education to nurture students' programming, analysis and computational skills, which are vital for success in all STEM fields and areas.…
Descriptors: Active Learning, Student Projects, Individualized Instruction, Student Motivation
Chorng-Shiuh Koong; Chih-Hung Chen; Yu-Tzu Chen; Gwo-Haur Hwang – Journal of Computer Assisted Learning, 2025
Background: Rhythm is the fundamental element of music and one of the indispensable aspects of training in music education, making it highly valued. However, due to the limitations of teaching hours and the large number of students in each class, it is difficult to foster the rhythm ability of elementary school students. Objectives: Hence, this…
Descriptors: Music Education, Telecommunications, Handheld Devices, Teaching Methods
Wenji Wang; Wenjuan Wang – Journal of Computer Assisted Learning, 2025
Background Study: The combination of artificial intelligence (AI) and foreign language learning is emerging as a significant trend in language education. Objectives: This study aimed to investigate the impact of technology acceptance, attitude and motivation on behavioural intentions regarding the use of AI in language learning. Methods:…
Descriptors: College Students, Student Behavior, Intention, Educational Technology
Yafei Shi; Qi Cheng; Yantao Wei; Mingwen Tong; Huang Yao – Journal of Computer Assisted Learning, 2024
Background: Video conferencing learning offers a more accessible and flexible learning mode for students who cannot attend face-to-face class in person. However, research about the video conferencing learning is still lacked, especially for students' engagement in this setting. Objectives: This study adopts the self-system model of motivational…
Descriptors: Elementary School Students, Learner Engagement, Videoconferencing, Educational Environment
Jyun-Chen Chen; Chia-Yu Liu – Journal of Computer Assisted Learning, 2025
Background: Based on the embodied cognition perspective, interdisciplinary hands-on learning combines several disciplines, such as science, technology, engineering and mathematics (STEM), to improve students' capacity to solve real-world problems. Despite the popularity of interdisciplinary hands-on learning, particularly the six-phase 6E model,…
Descriptors: Interdisciplinary Approach, Experiential Learning, STEM Education, Problem Solving
Marlene Steinbach; Johanna Fleckenstein; Livia Kuklick; Jennifer Meyer – Journal of Computer Assisted Learning, 2025
Background: Providing students with information on their current performance could help them improve by stimulating their reflection, but negative feedback that saliently mirrors task-related failure can harm motivation. In the context of automated scoring based on artificial intelligence, we explored how feedback on written texts might be…
Descriptors: Student Motivation, Academic Achievement, Low Achievement, Feedback (Response)
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
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
Muhammad Ashraf Fauzi; Zuria Akmal Saad; Muhammad Ariff Aripin; Noraina Mazuin Sapuan – Journal of Computer Assisted Learning, 2025
Background Study: Gamification is an effective and interactive approach to engaging students in teaching and learning. As digital technology develops, higher education institutions (HEIs) must embrace and keep pace with gamification for interactive teaching and learning approaches. Objective: The purpose of this study is to review gamification in…
Descriptors: State of the Art Reviews, Gamification, Game Based Learning, Bibliometrics
Lars de Vreugd; Anouschka van Leeuwen; Marieke van der Schaaf – Journal of Computer Assisted Learning, 2025
Background: University students need to self-regulate but are sometimes incapable of doing so. Learning Analytics Dashboards (LADs) can support students' appraisal of study behaviour, from which goals can be set and performed. However, it is unclear how goal-setting and self-motivation within self-regulated learning elicits behaviour when using an…
Descriptors: Learning Analytics, Educational Technology, Goal Orientation, Learning Motivation
Xiaoli Hu – Journal of Computer Assisted Learning, 2025
Introduction: Social media has become an effective instrument to enhance adolescents' knowledge-gaining experiences, even in language acquisition. The mechanisms of interactive feedback in such sites can affect motivation and engagement, especially if looked at through the lens of Self-Determination Theory, which highlights the role of competence,…
Descriptors: Social Media, Adolescents, English (Second Language), Second Language Learning
Sayginer, Senol; Tüzün, Hakan – Journal of Computer Assisted Learning, 2023
Background: Studies on the effectiveness of block-based environments continue to produce inconsistent results. A strong reason for this is that most studies compare environments that are not equivalent to each other or to the level of learners. Moreover, studies that present evidence of the effectiveness of block-based environments by comparing…
Descriptors: Programming, Academic Achievement, Logical Thinking, Thinking Skills
Juming Jiang; Luke K. Fryer – Journal of Computer Assisted Learning, 2024
Background: The COVID-19 pandemic has greatly impacted education, necessitating alternative methods to traditional face-to-face teaching. This dramatic change, in tandem with increasing awareness of the metaverse--a virtual reality (VR) world wherein humanity might learn, work and socialise--has made a clear need for a better understanding of the…
Descriptors: Computer Simulation, Computer Uses in Education, Influence of Technology, Learning Motivation
Ren-Zhi Luo; Yue-Liang Zhou – Journal of Computer Assisted Learning, 2024
Background: The COVID-19 has accelerated the transition to blended learning (BL) in higher education, prompting a need for further investigation into the efficacy of self-regulated learning strategies (SRLS) in these new educational environments. Objective: The primary goal of this research is to assess the effectiveness of SRLS in BL in higher…
Descriptors: Learning Strategies, Blended Learning, Self Management, Higher Education

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