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Da Teng; Xiangyang Wang; Yanwei Xia; Yue Zhang; Lulu Tang; Qi Chen; Ruobing Zhang; Sujin Xie; Weiyong Yu – Education and Information Technologies, 2025
The swift advancement of artificial intelligence, especially large language models (LLMs), has generated novel prospects for improving educational methodologies. Nonetheless, the successful incorporation of these technologies into pedagogical methods, such as flipped classrooms, continues to pose a challenge. This study investigates the…
Descriptors: Artificial Intelligence, Intelligent Tutoring Systems, Flipped Classroom, Technology Uses in Education
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XiaoShu Xu; Zhiyou Li; Wilson Cheong Hin Hong; Xinyu Xu; YunFeng Zhang – Education and Information Technologies, 2024
This review provides a critical assessment of Personal Learning Environments (PLEs) and personalized learning within formal education by juxtaposing their beneficial effects against the potential issues that could impede their effective use. Through meticulous screening and reviewing procedures, 53 articles were thematically analyzed and the main…
Descriptors: Individualized Instruction, Independent Study, Definitions, Barriers
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Benhamdi, Soulef; Babouri, Abdesselam; Chiky, Raja – Education and Information Technologies, 2017
Traditional e-Learning environments are based on static contents considering that all learners are similar, so they are not able to respond to each learner's needs. These systems are less adaptive and once a system that supports a particular strategy has been designed and implemented, it is less likely to change according to student's interactions…
Descriptors: Electronic Learning, Individualized Instruction, Instructional Materials, Preferences