Yongkyung Oh, Lynn Talton, Alex Bui (2026) — Institution.
Engagement intensity during AI ethics instruction serves as an effective learner-modeling signal for adaptive instruction; prior LLM experience influences engagement patterns.
Synthesis
Engagement Intensity as a Learner-Modeling Signal for Adaptive AI Ethics Instruction investigates engagement intensity during ai ethics instruction serves as an effective learner-modeling signal for adaptive instruction; prior llm experience influences engagement patterns. This work connects to existing research on isolated-learner-detection by demonstrating that Abstract:Adaptive AI ethics instruction in graduate research training benefits from intake measures that reflect differences in prior LLM experience. Prior coursework or workshop attendance is an obvious candidate, but it is not clear whether it is associated with pre-instruction ratings on key AI p....
Related Pages
- isolated-learner-detection - adaptive-learning-systems - ai-literacy - student-experience - engagement-assessment-videoCitation
APA: Yongkyung Oh, Lynn Talton, Alex Bui (2026). Engagement Intensity as a Learner-Modeling Signal for Adaptive AI Ethics Instruction. arXiv:2606.18548.