2026 ASEE Annual Conference & Exposition papers by Yiyi Wang

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]

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