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Xiao-Ming Wang; Wen-Qing Zhou; Gwo-Jen Hwang; Shi-Man Wang; Tong Huang – Educational Technology & Society, 2024
Knowing the factors affecting students' learning achievement in digital learning is a crucial educational issue nowadays. However, recent research has paid less attention to how an individual's internal factors (prior knowledge) influence their learning achievement through cognitive engagement, and previous studies generally employed students'…
Descriptors: Electronic Learning, Prior Learning, Cognitive Processes, Learner Engagement
Jiachu Ye; Xiaoyan Lai; Gary Ka Wai Wong; Nantian He – Educational Technology & Society, 2024
Computational thinking (CT) has attracted global research attention. However, the relationship between CT education and later aspirations in computing careers was less explored, and less attention was paid to understanding the intermediary role of computational identity. Based on social cognitive career theory, this study examined the…
Descriptors: Programming, Self Concept, Computer Science Education, Student Attitudes
Deliang Wang; Yaqian Zheng; Gaowei Chen – Educational Technology & Society, 2024
This study investigates the potential of ChatGPT, a cutting-edge large language model in generative artificial intelligence (AI), to support the teaching of dialogic pedagogy to preservice teachers. A workshop was conducted with 29 preservice teachers, wherein ChatGPT and another prominent AI model, Bert, were sequentially integrated to facilitate…
Descriptors: Artificial Intelligence, Preservice Teachers, Models, Teaching Methods
Huang, Biyun; Hew, Khe Foon – Educational Technology & Society, 2021
A design-based study was conducted in iterative cycles to test the effectiveness of the updated goal-access-feedback-challenge-collaboration (updated-GAFCC) gamification design model. The test-bed was a 10-week undergraduate introductory information management course. Students from three consecutive school years participated in the study, with the…
Descriptors: Computer Games, Feedback (Response), Comparative Analysis, Undergraduate Students