In recent years, the rapid development of artificial intelligence has increased the power of personalized learning. This study aimed to provide personalized intervention for each group participating in computer-supported collaborative learning. The personalized intervention adopted a deep neural network model, Bidirectional Encoder Representations…

This dissertation study aimed to explore whether and how individual differences in verbal and visuospatial working memory capacity and executive functions influence elementary students' mathematics fact mastery and mathematics anxiety as they engage in learning using ReflexTM, a game-based, visuospatial rich adaptive learning platform for…

Many would agree that learning on the Web--a highly autonomous learning environment--may be difficult for individuals who lack motivation and self-regulated learning skills. Using a social cognitive view of academic motivation and self-regulation, the objective of the present study was to investigate the relations between students' motivational…