4 papers
Exploring the Value of Diverse LLM Explanations in Introductory Programming
Seth Bernstein, Paul Denny, Juho Leinonen +4
Large Language Models (LLMs) have shown the potential to generate code explanations that surpass those of peers in quality, offering promising opportunities for computer science ed…
"I can't read your mind": A Study of Neurodivergent Computing Students' Experiences with Collaborative Active Learning
Cynthia Zastudil, Srishty Muthusekaran, Rayhona Nasimova +1
Computing courses often feature active learning techniques that promote collaboration and social interaction between students. However, neurodivergent students' preferences and exp…
Changing the Optics: Comparing Traditional and Retrieval-Augmented GenAI E-Tutorials in Interdisciplinary Learning
Hannah Kim, Rahad Arman Nabid, Jeni Sorathiya +5
Understanding information-seeking behaviors in e-learning is critical, as learners must often make sense of complex and fragmented information, a challenge compounded in interdisci…
Neurodiversity in Computing Education Research: A Systematic Literature Review
Cynthia Zastudil, David H. Smith, Yusef Tohamy +3
Ensuring equitable access to computing education for all students-including those with autism, dyslexia, or ADHD-is essential to developing a diverse and inclusive workforce. To un…