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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
Lanqin Zheng; Zichen Huang; Lei Gao; Yunchao Fan – Journal of Computer Assisted Learning, 2025
Background: Online collaborative learning has been broadly applied in the field of higher education. Nevertheless, not all types of collaborative learning can produce the desired learning results. Objectives: To facilitate online collaborative learning, the present study proposed an innovative artificial intelligence-enabled group cognitive…
Descriptors: Artificial Intelligence, Technology Uses in Education, Electronic Learning, Online Courses
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
Han, Feifei; Ellis, Robert A.; Guan, Enjing – Journal of Computer Assisted Learning, 2023
Background: While a number of learner factors have been identified to impact students' collaborative learning, there has been little systematic research into how patterns of students' collaborative learning may differ by their learning orientations. Objectives: This study aimed to investigate: (1) variations in students' learning orientations by…
Descriptors: Cooperative Learning, Cognitive Style, Blended Learning, Academic Achievement
Ferdi Çelik; Ceylan Yangin Ersanli – Journal of Computer Assisted Learning, 2025
Background: This mixed-method, controlled quasi-experimental study aimed to examine the effects of metaverse-based English as a foreign language (EFL) instruction on high school students' listening skills and self-determination levels. The lessons, which were designed based on social constructivist theory, were implemented for a total of 8 weeks…
Descriptors: Second Language Learning, English (Second Language), Listening Skills, Self Determination
Chih-Chung Lin; Tzu-Hsuan Lin; Chi-Kay Tang – Journal of Computer Assisted Learning, 2025
Background: The integration of generative artificial intelligence (Gen-AI) into second language (L2) education has opened new possibilities for personalized and adaptive instruction. While Gen-AI has shown promise in supporting language production skills, its application in reading, particularly in pre-reading scaffolding, remains underexplored.…
Descriptors: Reading Comprehension, English (Second Language), Second Language Learning, College Freshmen
Ying-Lien Lin; Wei-Tsong Wang; Shih-Ying Kuang – Journal of Computer Assisted Learning, 2025
Background: Visual metaphors (VMs) have gained significant attention from cognitive linguists for their ability to help learners understand linguistic structure. However, few studies have explored how incorporating a VM-supported instructional design can help instructors elucidate the abstract concepts of the business model canvas (BMC) to enhance…
Descriptors: Figurative Language, Visual Aids, Visual Learning, Instructional Design
Bhagya Maheshi; Wei Dai; Roberto Martinez-Maldonado; Yi-Shan Tsai – Journal of Computer Assisted Learning, 2024
Background: Feedback is central to formative assessments but aligns with a one-way information transmission perspective obstructing students' effective engagement with feedback. Previous research has shown that a responsive, dialogic feedback process that requires educators and students to engage in ongoing conversations can encourage student…
Descriptors: Feedback (Response), Learning Analytics, Dialogs (Language), Learner Engagement
Guo, Liming; Du, Junlei; Zheng, Qinhua – Journal of Computer Assisted Learning, 2023
Background: There is a strong association between interactions and cognitive engagement, which is crucial for constructing new cognition and knowledge. Although interactions and cognitive engagement have attracted extensive attention in online learning environments, few studies have revealed the evolution of cognitive engagement with interaction…
Descriptors: Cognitive Ability, Learner Engagement, Electronic Learning, Technology Uses in Education
Di Liu; Linxuan Yi; Rui Kang – Journal of Computer Assisted Learning, 2025
Background: Spatial reasoning is a crucial factor in students' mathematics performance. Providing training to elementary students in spatial reasoning is a promising way to improve their performance in mathematics. The use of digital games to assist instruction has been found to have a positive impact on students' spatial reasoning. Objective:…
Descriptors: Spatial Ability, Mathematics Achievement, Elementary School Students, Technology Uses in Education
Shilpi Harnal; Gaurav Sharma; Anupriya; Anand Muni Mishra; Deepak Bagga; Nikhil Saini; Pankaj Kumar Goley; Kumar Anupam – Journal of Computer Assisted Learning, 2024
Background: An innovative and interactive real-world environment can be presented with augmented reality (AR) that comprises digital visual elements, audio, or other sensory information delivered via technology to enhance one's experience. AR has numerous potential applications in various everyday fields. The education sector is one such arena…
Descriptors: Bibliometrics, Computer Simulation, Artificial Intelligence, Educational Technology
Wenli Chen; Yiting Han; Jesmine Tan; Aileen Siew Cheng Chai; Qianru Lyu; Lyna – Journal of Computer Assisted Learning, 2024
Background: This study examined the effect of computer-supported collaborative argumentation (CSCA) on secondary school students' understanding of socio-scientific issues (SSI). Engaging students in collaborative argumentation is known to help with deepening their understanding of SSI. Methods: In this study, a mixed-method design is used to…
Descriptors: Computer Mediated Communication, Cooperative Learning, Persuasive Discourse, Science and Society
Lin, Jian-Wei; Huang, Hsieh-Hong; Tsai, Chia-Wen – Journal of Computer Assisted Learning, 2023
Background: Social network awareness (SNA) enables students to know the online learning context of peers in computer-supported collaborative learning (CSCL) and it has been used to improve peer interaction and participation in collaborative learning tasks. Mobile learning enables students to access learning content and discuss content with peers…
Descriptors: Electronic Learning, Handheld Devices, Cooperative Learning, Social Networks
Richter, Juliane; Lachner, Andreas; Jacob, Leonie; Bilgenroth, Friederike; Scheiter, Katharina – Journal of Computer Assisted Learning, 2022
Background: Engaging students in computer-assisted guided inquiry learning has great potential to scaffold their scientific understanding: Students are expected to improve their scientific problem-solving skills, and at the same time gain a deep conceptual understanding of the subject-matter. Additional generative activities such as creating video…
Descriptors: Self Concept, Problem Solving, Video Technology, Computer Assisted Instruction

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