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Xu, Weiqi; Wu, Yajuan; Ouyang, Fan – International Journal of Educational Technology in Higher Education, 2023
Pair programming (PP), as a mode of collaborative problem solving (CPS) in computer programming education, asks two students work in a pair to co-construct knowledge and solve problems. Considering the complex multimodality of pair programming caused by students' discourses, behaviors, and socio-emotions, it is of critical importance to examine…
Descriptors: Cooperative Learning, Problem Solving, Computer Science Education, Programming
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Lei Zhao; Jiahui Liu; Ayaz Karimov; Mirka Saarela – International Journal of Educational Technology in Higher Education, 2025
Learning power has become a significant impacting factor on learning quality in digital age. This study is a survey at a university in China, using a questionnaire with seven evaluation indicators integrated into learning dimensions, to assess college students' digital learning power (DLP). The main findings are as follows. College students have…
Descriptors: Digital Literacy, Gender Differences, Intellectual Disciplines, Undergraduate Students
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Qinna Feng; Wenhao Li; Xueping Zhu; Xiuhan Li – International Journal of Educational Technology in Higher Education, 2025
Giving feedback is key to online collaborative discussion, but the impact of feedback on role-scripts in online discussion remains unclear. To address this research gap, a mixed factorial experiment was conducted to investigate the potential effects and interactions of feedback type (elaborated vs. motivational feedback) and scripted roles (yes…
Descriptors: Undergraduate Students, Blended Learning, Computer Mediated Communication, Motivation Techniques
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Yang, Qi-Fan; Lian, Li-Wen; Zhao, Jia-Hua – International Journal of Educational Technology in Higher Education, 2023
According to previous studies, traditional laboratory safety courses are delivered in a classroom setting where the instructor teaches and the students listen and read the course materials passively. The course content is also uninspiring and dull. Additionally, the teaching period is spread out, which adds to the instructor's workload. As a…
Descriptors: Undergraduate Students, Gamification, Artificial Intelligence, Robotics
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Essel, Harry Barton; Vlachopoulos, Dimitrios; Tachie-Menson, Akosua; Johnson, Esi Eduafua; Baah, Papa Kwame – International Journal of Educational Technology in Higher Education, 2022
Chatbot usage is evolving rapidly in various fields, including higher education. The present study's purpose is to discuss the effect of a virtual teaching assistant (chatbot) that automatically responds to a student's question. A pretest-posttest design was implemented, with the 68 participating undergraduate students being randomly allocated to…
Descriptors: Computer Assisted Instruction, Artificial Intelligence, Teaching Assistants, Undergraduate Students