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Xiuyu Lin; Zehui Zhan; Xuebo Zhang; Jiayi Xiong – IEEE Transactions on Learning Technologies, 2024
The attribution of learning success or failure is crucial for students' learning and motivation. Effective attribution of their learning success or failure in the context of a small private online course (SPOC) could generate students' motivation toward learning success while an incorrect attribution would lead to a sense of helplessness. Based on…
Descriptors: Learning Analytics, Learning Processes, Learning Motivation, Attribution Theory
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Jiaqi Yin; Tiong-Thye Goh; Yi Hu – IEEE Transactions on Learning Technologies, 2024
This study aimed to examine sustainable effects of chatbot-based formative feedback on intrinsic motivation, cognitive load, and learning performance. A longitudinal quasi-experimental design with 173 undergraduate students was conducted. The experiment is a between-subject design. Students either received formative feedback from a chatbot or a…
Descriptors: Artificial Intelligence, Synchronous Communication, Feedback (Response), Longitudinal Studies
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Wang, Yichuan; Rajan, Pramod; Sankar, Chetan S.; Raju, P. K. – IEEE Transactions on Learning Technologies, 2017
Serious games are becoming important educational tools and are increasingly being integrated into courses in many different academic areas and widely portrayed as a means of helping individuals concentrate on the subject matter and enjoy learning. This paper discusses the development and testing of a serious game by using a research model where…
Descriptors: Teaching Methods, Educational Games, Difficulty Level, Usability