Got It! Prompting Readability Using ChatGPT to Enhance Academic Texts for Diverse Learning Needs

Reading skills are crucial for students' success in education and beyond. However, reading proficiency among K-12 students has been declining globally, including in Sweden, leaving many underprepared for post-secondary education. Additionally, an increasing number of students have reading disorders, such as dyslexia, which require support. Generative artificial intelligence (genAI) technologies, like ChatGPT, may offer new opportunities to improve reading practices by enhancing the readability of educational texts. This study investigates whether ChatGPT-4 can simplify academic texts and which prompting strategies are most effective. We tasked ChatGPT to re-write 136 academic texts using four prompting approaches: Standard, Meta, Roleplay, and Chain-of-Thought. All four approaches improved text readability, with Meta performing the best overall and the Standard prompt sometimes creating texts that were less readable than the original. This study found variability in the simplified texts, suggesting that different strategies should be used based on the specific needs of individual learners. Overall, the findings highlight the potential of genAI tools, like ChatGPT, to improve the accessibility of academic texts, offering valuable support for students with reading difficulties and promoting more equitable learning opportunities.

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Publication Details

Published
2025-02-21
DOI
https://doi.org/10.1145/3706468.3706483
Citations
7
Primary Topic
Text Readability and Simplification
Type
article
Field-Weighted Citation Impact
17.37
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article

Got It! Prompting Readability Using ChatGPT to Enhance Academic Texts for Diverse Learning Needs

Jacqueline Wong, Carrie Demmans Epp, Olga Viberg, Elias Hedlin et al.
7 citations
Text Readability and Simplification
17.37
article

Got It! Prompting Readability Using ChatGPT to Enhance Academic Texts for Diverse Learning Needs

Jacqueline Wong, Carrie Demmans Epp, Olga Viberg, Elias Hedlin, Ludwig Estling
article en
7 citations

Abstract

Reading skills are crucial for students' success in education and beyond. However, reading proficiency among K-12 students has been declining globally, including in Sweden, leaving many underprepared for post-secondary education. Additionally, an increasing number of students have reading disorders, such as dyslexia, which require support. Generative artificial intelligence (genAI) technologies, like ChatGPT, may offer new opportunities to improve reading practices by enhancing the readability of educational texts. This study investigates whether ChatGPT-4 can simplify academic texts and which prompting strategies are most effective. We tasked ChatGPT to re-write 136 academic texts using four prompting approaches: Standard, Meta, Roleplay, and Chain-of-Thought. All four approaches improved text readability, with Meta performing the best overall and the Standard prompt sometimes creating texts that were less readable than the original. This study found variability in the simplified texts, suggesting that different strategies should be used based on the specific needs of individual learners. Overall, the findings highlight the potential of genAI tools, like ChatGPT, to improve the accessibility of academic texts, offering valuable support for students with reading difficulties and promoting more equitable learning opportunities.

University of Alberta (CA), Utrecht University (NL), KTH Royal Institute of Technology (SE)
Quality Education
Openalex Percentile: Top 1%
Text Readability and Simplification
17.37
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