Personalized problem selection enhances student practice in tutoring systems. Prior research has focused on transparent problem selection that supports learner control but rarely engages learners in selecting practice materials. We explored how different levels of control (i.e., full AI control, shared control, and full learner control), combined…

The purpose of this study was to observe how within-person variation in motivation, self-efficacy and academic performance scores are correlated or can be predicted. The reciprocal association between these variables was analysed through a four-wave longitudinal study and a within-person analytical approach (random intercept cross-lagged panel…

With the prevalence of Large Language Model-based chatbots, middle school students are increasingly likely to engage with these tools to complete their assignments, raising concerns about its potential to harm students' learning motivation and learning outcomes. However, we know little about its real impact. Through quasi-experiment research with…