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Jiahui Du; Khe Foon Hew; Long Zhang – Education and Information Technologies, 2025
Self-regulated learning (SRL) is a prerequisite for successful learning. However, studies have reported that many students struggle with self-regulation in online learning, indicating the need to provide students with additional support for SRL. This study adopted a design-based research methodology to iteratively design, implement, and evaluate…
Descriptors: Independent Study, Artificial Intelligence, Electronic Learning, Graduate Students
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Hao Zhou; Wenge Rong; Jianfei Zhang; Qing Sun; Yuanxin Ouyang; Zhang Xiong – IEEE Transactions on Learning Technologies, 2025
Knowledge tracing (KT) aims to predict students' future performances based on their former exercises and additional information in educational settings. KT has received significant attention since it facilitates personalized experiences in educational situations. Simultaneously, the autoregressive (AR) modeling on the sequence of former exercises…
Descriptors: Learning Experience, Academic Achievement, Data, Artificial Intelligence
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Cheyeon Ha; Qian Zhang; Alysia D. Roehrig – Social Psychology of Education: An International Journal, 2025
This study examined how students' motivational regulation affects their academic performance based on the self-determination theory (SDT). The research involved data analysis from over 7,056 sixth-grade students in 446 South Korean elementary schools. We applied a stepwise multi-level modeling (MLM) approach to assess the influence of five…
Descriptors: Early Adolescents, Grade 6, Foreign Countries, Student Motivation