Conference Session

Track 4: Technical Session 5: Impact of Generative AI Technologies on Blind and Visually Impaired Students: A Case Study

Collection

2025 Collaborative Network for Engineering & Computing Diversity (CoNECD)

Authors

Lance Leon Allen White, Texas A&M University; Sara Amani, Texas A&M University; Trini Sofia Balart, Texas A&M University; Amanda Kate Lacy; Gene Sung-Ho Kim, Stanford University; Gibin Raju, Texas A&M University; Karan Watson P.E., Texas A&M University; Kristi J. Shryock, Texas A&M University

Tagged Topics

2025 CoNECD Paper Submissions, Diversity

Paper ID #45200Impact of Generative AI Technologies on Blind and Visually Impaired Students:A Case StudyMr. Lance Leon Allen White, Texas A&M University Lance White is a Ph.D. student at Texas A&M University in Interdisciplinary Engineering with a thrust in Engineering Education. He is working as a Lecturer in the Engineering Academic and Student Affairs unit teaching first-year engineering in the College of Engineering at Texas A&M UniversitySara Amani, Texas A&M University Sara Amani is currently a doctoral candidate in the Multidisciplinary Engineering Department at Texas A&M University. She has