7 papers
AI-Assisted Help-Seeking Trajectories in Programming Education from an SRL-Informed Perspective
Boxuan Ma, Huiyong Li, Gen Li +3
Generative AI tools provide novice programmers with instant, personalized support, but also raise concerns about whether AI use supports or bypasses students' regulation of problem…
Capture-Calibrate-Coach: A Graph-Based Framework for Knowledge Monitoring Estimation and Adaptive Feedback
Gen Li, Li Chen, Cheng Tang +5
Effective learning support requires understanding not only what learners know but also how accurately they perceive their own understanding. This metacognitive dimension, known as…
Designing a Meta-Reflective Dashboard for Instructor Insight into Student-AI Interactions
Boxuan Ma, Baofeng Ren, Huiyong Li +4
Generative AI tools are increasingly used for coursework help, shifting much of students' help-seeking and reasoning into student-AI chats that are largely invisible to instructors…
Design Implications for Student and Educator Needs in AI-Supported Programming Learning Tools
Boxuan Ma, Yinjie Xie, Huiyong Li +4
AI-powered coding assistants can support students in programming courses by providing on-demand explanations and debugging help. However, existing research often focuses on individ…
Three Years with Classroom AI in Introductory Programming: Shifts in Student Awareness, Interaction, and Performance
Boxuan Ma, Huiyong Li, Gen Li +4
Generative AI (GenAI) tools such as ChatGPT now provide novice programmers with instant, personalized support and are reshaping computing education. While a growing body of work ex…
Ranking-Based At-Risk Student Prediction Using Federated Learning and Differential Features
Shunsuke Yoneda, Valdemar Švábenský, Gen Li +2
Digital textbooks are widely used in various educational contexts, such as university courses and online lectures. Such textbooks yield learning log data that have been used in num…