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Nan Ma; Zhiyong Zhong – Journal of Computer Assisted Learning, 2025
Background: With the rapid advancement of technology, the integration of Generative Artificial Intelligence (GAI) in education has gained considerable attention. Many studies have examined GAI's impact on learning outcomes, yet their conclusions are inconsistent, highlighting the need for a comprehensive review to clarify its overall effects and…
Descriptors: Meta Analysis, Artificial Intelligence, Technology Uses in Education, Outcomes of Education
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Esmaeil Jafari – Journal of Computer Assisted Learning, 2024
Background: Artificial intelligence (AI) has created new opportunities, challenges, and potentials in teaching; however, issues related to the philosophy of using AI technology in learners' learning have not been addressed and have caused some issues and concerns. This issue is due to the research gap in addressing issues related to ethical and…
Descriptors: Artificial Intelligence, Computer Software, Technology Uses in Education, College Faculty
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Ye, Jiachu; Lai, Xiaoyan; Wong, Gary Ka-Wai – Journal of Computer Assisted Learning, 2022
Background: Computational thinking (CT) is regarded as an essential 21st-century skill, and attempts have been made to integrate it into other subjects. Instructional approaches to CT development and assessment in the field of computer science have attracted global attention, but the influence of CT skills on other subject areas is…
Descriptors: Transfer of Training, Thinking Skills, Meta Analysis, 21st Century Skills
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Katai, Z. – Journal of Computer Assisted Learning, 2015
The research results we present in this paper reveal that properly calibrated e-learning tools have potential to effectively promote the algorithmic thinking of both science-oriented and humanities-oriented students. After students had watched an illustration (by a folk dance choreography) and an animation of the studied sorting algorithm (bubble…
Descriptors: Electronic Learning, Mathematics, Cognitive Processes, Sciences