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Peijian Paul Sun; Zeqi Ren; Xian Zhao – Journal of Computer Assisted Learning, 2025
Background: Student engagement has been conceptualised and operationalised in various learning environments. However, there is currently a lack of established scales to measure student engagement in synchronous online learning. One possible reason is the existence of the conceptual and structural ambiguity regarding student engagement. Objective:…
Descriptors: Student Participation, Second Language Learning, Synchronous Communication, Electronic Learning
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Vu Thanh Tam Nguyen; Hsiu-Ling Chen; Van Tran Kieu Nguyen – Journal of Computer Assisted Learning, 2025
Background: Social-emotional practices are crucial in today's educational landscape, fostering students' emotional intelligence, resilience and interpersonal skills. Integrating these practices into the gamified flipped classroom approach creates an enriched learning environment. However, there exists a notable research gap regarding the specific…
Descriptors: Social Emotional Learning, Gamification, Flipped Classroom, Emotional Response
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Xin Tang; Zhiqiang Yuan; Shaojun Qu – Journal of Computer Assisted Learning, 2025
Background: Generative artificial intelligence (AI) represents a significant technological leap, with platforms like OpenAI's ChatGPT and Baidu's Ernie Bot at the forefront of innovation. This technology has seen widespread adoption across various sectors of society and is anticipated to revolutionise the educational landscape, especially in the…
Descriptors: Influences, College Students, Student Behavior, Intention
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Pieter Vanneste; Kim Dekeyser; Luis Alberto Pinos Ullauri; Dries Debeer; Frederik Cornillie; Fien Depaepe; Annelies Raes; Wim Van den Noortgate; Sameh Said-Metwaly – Journal of Computer Assisted Learning, 2024
Background: Augmented reality (AR) is receiving increasing interest as a tool to create an interactive and motivating learning environment. Yet, it is unclear how instructional support affects performance in AR. Objectives: This study sought to explore how varying the instructional support in AR can affect performance-related behaviours of…
Descriptors: Computer Simulation, Artificial Intelligence, Cognitive Ability, Student Behavior
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Marco Rüth; Maria Jansen; Kai Kaspar – Journal of Computer Assisted Learning, 2024
Background: Online exams have become a more common form of assessment at universities due to the COVID-19 pandemic. However, cheating behaviour in online exams is widespread and threatens exam validity as well as student learning and well-being. Objective: To better understand the role of university students' needs, conceptions and reasons…
Descriptors: Foreign Countries, College Students, Computer Assisted Testing, Cheating
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Yang, Weipeng; Huang, Runke; Li, Yongyan; Li, Hui – Journal of Computer Assisted Learning, 2021
Collective academic supervision (CAS) is a collective model for students' academic supervision to reduce their isolation and as a measure to establish a congenial culture and to develop networks with their peers. Most studies focus on the benefits of online CAS, leaving the pedagogical process and students' learning experiences understudied. This…
Descriptors: Teacher Researchers, Graduate Students, Masters Programs, Supervision
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Yazici, Sedat; Yildiz Durak, Hatice; Aksu Dünya, Beyza; Sentürk, Burcu – Journal of Computer Assisted Learning, 2023
Background: During the COVID-19 period, academics and higher education institutions have shown deep concern about academic integrity related to measurement and evaluation issues that have arisen in online education. Objectives: To address this concern, this paper examined the prevalence of cheating behaviour among university students before and…
Descriptors: Foreign Countries, College Students, Cheating, Student Behavior
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Yang, X.; Guo, X.; Yu, S. – Journal of Computer Assisted Learning, 2016
This study investigates the quality of course content, behavioural patterns of students and learning performance in teaching of student-generated content (SGC). A total of 49 third-year university students in educational technology participated in this study. By combining the methods of questionnaire, lag sequence analysis and interview, the study…
Descriptors: College Students, Educational Technology, Educational Quality, Course Content
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Lin, J-W.; Lai, Y-C.; Lai, Y-C.; Chang, L-C. – Journal of Computer Assisted Learning, 2016
Most systems for training self-regulated learning (SRL) behaviour focus on the provision of a learner-centred environment. Such systems repeat the training process and place learners alone to experience that process iteratively. According to the relevant literature, external scaffolds are more promising for effective SRL training. In this work,…
Descriptors: Learner Controlled Instruction, Self Management, Scaffolding (Teaching Technique), Peer Teaching
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van den Beemt, A.; Akkerman, S.; Simons, P. R. J. – Journal of Computer Assisted Learning, 2011
The intensive use of interactive media has led to assertions about the effect of these media on youth. Rather than following the assumption of a distinct Net generation, this study investigates diversity in interactive media use among youth. Results from a pilot study show that contemporary youth can be divided into clusters based on the use of…
Descriptors: Foreign Countries, Opinions, Factor Analysis, Internet
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Karasavvidis, Ilias; Pieters, J. M.; Plomp, T. – Journal of Computer Assisted Learning, 2003
Describes a study of secondary school students in the Netherlands that compared the use of paper and pencil or computer spreadsheets to solve correlational problems in geography. Discusses results of videotape transcripts that compared teacher and student behaviors and considered mechanisms through which computers contribute to learning.…
Descriptors: Comparative Analysis, Computer Assisted Instruction, Conventional Instruction, Correlation