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Baker, Ryan; Ma, Wei; Zhao, Yuxin; Wang, Shengni; Ma, Zhenjun – International Educational Data Mining Society, 2020
With the development of personalized learning in technological platforms, more data and information are given to instructors on what contents are appropriate for a learner's next step, with an aim of helping them support their students in navigating an optimized learning path that can promote an enhanced learning outcome. In this study, we…
Descriptors: Individualized Instruction, Electronic Learning, Learning Theories, Cognitive Development