English

DiverseClaire: Simulating Students to Improve Introductory Programming Course Materials for All CS1 Learners

Computers and Society 2025-11-26 v1 Artificial Intelligence Human-Computer Interaction Programming Languages

Abstract

Although CS programs are booming, introductory courses like CS1 still adopt a one-size-fits-all formats that can exacerbate cognitive load and discourage learners with autism, ADHD, dyslexia and other neurological conditions. These call for compassionate pedagogies and Universal Design For Learning (UDL) to create learning environments and materials where cognitive diversity is welcomed. To address this, we introduce DiverseClaire a pilot study, which simulates students including neurodiverse profiles using LLMs and diverse personas. By leveraging Bloom's Taxonomy and UDL, DiverseClaire compared UDL-transformed lecture slides with traditional formats. To evaluate DiverseClaire controlled experiments, we used the evaluation metric the average score. The findings revealed that the simulated neurodiverse students struggled with learning due to lecture slides that were in inaccessible formats. These results highlight the need to provide course materials in multiple formats for diverse learner preferences. Data from our pilot study will be made available to assist future CS1 instructors.

Keywords

Cite

@article{arxiv.2511.14198,
  title  = {DiverseClaire: Simulating Students to Improve Introductory Programming Course Materials for All CS1 Learners},
  author = {Wendy Wong and Yuchao Jiang and Yuekang Li},
  journal= {arXiv preprint arXiv:2511.14198},
  year   = {2025}
}

Comments

2 pages

R2 v1 2026-07-01T07:42:43.600Z