| Title | Session | |
|---|---|---|
| Can Large Language Models Recognize Neurodiverse Student Challenges and Strengths? A Complementary Study with ChatGPT and Machine Learning | DSAI-Session 13: Equity, Inclusion, and Diverse Learner Needs in Engineering Education | [view paper] |
| Qualitative Analysis of Neurodivergent Students’ Experience in Engineering | CEED Technical Session 1: Student Engagement, Inclusion & Success in STEM Pathways | [view paper] |
| Concept-mapping the struggles and strengths of neurodiverse students in engineering: a comparison between expert- and AI-generated trees | DSAI-Session 13: Equity, Inclusion, and Diverse Learner Needs in Engineering Education | [view paper] |