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

Fuente: arXiv
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Main Authors: Wong, Wendy, Jiang, Yuchao, Li, Yuekang
Format: Preprint
Published: 2025
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author Wong, Wendy
Jiang, Yuchao
Li, Yuekang
author_facet Wong, Wendy
Jiang, Yuchao
Li, Yuekang
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2511_14198
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle DiverseClaire: Simulating Students to Improve Introductory Programming Course Materials for All CS1 Learners
Wong, Wendy
Jiang, Yuchao
Li, Yuekang
Computers and Society
Artificial Intelligence
Human-Computer Interaction
Programming Languages
K.3.1
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.
title DiverseClaire: Simulating Students to Improve Introductory Programming Course Materials for All CS1 Learners
topic Computers and Society
Artificial Intelligence
Human-Computer Interaction
Programming Languages
K.3.1
url https://arxiv.org/abs/2511.14198