THE ISSUE OF AI-BASED SUPPORT FOR STRUGGLING READERS THROUGH THE LENS OF UDL PRINCIPLES

Andrea Mangiatordi, Diego Joseph Villalón, Cristina Liviana Caldiroli

Abstract


One of Universal Design for Learning principles suggests to “design multiple means of representation” (CAST, 2024) and it can be applied to text accessibility by granting 1) readability and legibility, 2) disambiguation of terms and symbols, and 3) support to comprehension through various means. Text simplification is often mentioned as a possibility offered by AI for struggling readers. In this contribution we argue that it can efficiently be combined with intelligent tutoring systems in order to achieve better results that are in line with UDL guidelines.


Keywords


Text simplification; Struggling readers; Recognition network

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References


Alissa, S., & Wald, M. (2023). Text Simplification Using Transformer and BERT. Computers, Materials & Continua, 75(2), 3479–3495. https://doi.org/10.32604/cmc.2023.033647

Alonzo, O., Seita, M., Glasser, A., & Huenerfauth, M. (2020). Automatic Text Simplification Tools for Deaf and Hard of Hearing Adults: Benefits of Lexical Simplification and Providing Users with Autonomy. International Conference on Human Factors in Computing Systems. Recuperato da https://www.semanticscholar.org/paper/Automatic-Text-Simplification-Tools-for-Deaf-and-of-Alonzo-Seita/15e11b0e326f7122d819cb95c0ad84d2a8d581c8

Bahrainian, S. A., Dou, J., & Eickhoff, C. (2024). Text Simplification via Adaptive Teaching. In L.-W. Ku, A. Martins, & V. Srikumar (A c. Di), Findings of the Association for Computational Linguistics: ACL 2024 (pp. 6574–6584). Bangkok, Thailand: Association for Computational Linguistics. https://doi.org/10.18653/v1/2024.findings-acl.392

Campillos-Llanos, L., Reinares, A. R. T., Bartolomé, R., Valverde-Mateos, A., González, C., Capllonch-Carrión, A., & Heras, J. (2024). Replace, Paraphrase or Fine-tune? Evaluating Automatic Simplification for Medical Texts in Spanish. Presentato al International Conference on Language Resources and Evaluation. Recuperato da https://www.semanticscholar.org/paper/Replace%2C-Paraphrase-or-Fine-tune-Evaluating-for-in-Campillos-Llanos-Reinares/aa64ccd6e0b3c874d450b3755b093deb230944b9

CAST. (2024). Universal Design for Learning Guidelines version 3.0. Author. Recuperato da https://udlguidelines.cast.org/

Hedlin, E., Estling, L., Wong, J., Demmans Epp, C., & Viberg, O. (2025). Got It! Prompting Readability Using ChatGPT to Enhance Academic Texts for Diverse Learning Needs. Proceedings of the 15th International Learning Analytics and Knowledge Conference, 115–125. Dublin Ireland: ACM. https://doi.org/10.1145/3706468.3706483

Higasa, T., Tanaka, K., Feng, Q., & Morishima, S. (2023). Gaze-Driven Sentence Simplification for Language Learners: Enhancing Comprehension and Readability. Companion Publication of the 25th International Conference on Multimodal Interaction, 292–296. New York, NY, USA: Association for Computing Machinery. https://doi.org/10.1145/3610661.3616177

Jin, J., Sun, Y., & Li, A. (2024). A Smart Mobile Platform to Assist with Reading Comprehension using Machine Learning and Lexical Simplification. Computer Science, Engineering and Information Technology. https://doi.org/10.1145/3610661.3616177

Kumar, D., Mou, L., Golab, L., & Vechtomova, O. (2020). Iterative Edit-Based Unsupervised Sentence Simplification. In D. Jurafsky, J. Chai, N. Schluter, & J. Tetreault (A c. Di), Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (pp. 7918–7928). Online: Association for Computational Linguistics. https://doi.org/10.18653/v1/2020.acl-main.707

Liu, M., Zhang, J., Nyagoga, L. M., & Liu, L. (2024). Student-AI Question Cocreation for Enhancing Reading Comprehension. IEEE Transactions on Learning Technologies, 17, 815–826. https://doi.org/10.1109/TLT.2023.3333439

Maddela, M., Alva-Manchego, F., & Xu, W. (2021). Controllable Text Simplification with Explicit Paraphrasing. In K. Toutanova, A. Rumshisky, L. Zettlemoyer, D. Hakkani-Tur, I. Beltagy, S. Bethard, … Y. Zhou (A c. Di), Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (pp. 3536–3553). Online: Association for Computational Linguistics. https://doi.org/10.18653/v1/2021.naacl-main.277

Madjidi, E., & Crick, C. (2023). Enhancing Textual Accessibility for Readers with Dyslexia through Transfer Learning. Proceedings of the 25th International ACM SIGACCESS Conference on Computers and Accessibility, 1–5. New York, NY, USA: Association for Computing Machinery. https://doi.org/10.1145/3597638.3614473

Martin, L., Sagot, B., Clergerie, E. V. de la, & Bordes, A. (2019). Controllable Sentence Simplification. ArXiv. Recuperato da https://www.semanticscholar.org/paper/Controllable-Sentence-Simplification-Martin-Sagot/a2a03a8fff4d818ecee4bc07d218f716d7e49696

McCarthy, K. S., & Yan, E. F. (2024). Reading Comprehension and Constructive Learning: Policy Considerations in the Age of Artificial Intelligence. Policy Insights from the Behavioral and Brain Sciences, 11(1), 19–26. https://doi.org/10.1177/23727322231218891

Narayan, S., & Gardent, C. (2014). Hybrid Simplification using Deep Semantics and Machine Translation. In K. Toutanova & H. Wu (A c. Di), Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (pp. 435–445). Baltimore, Maryland: Association for Computational Linguistics. https://doi.org/10.3115/v1/P14-1041

Nisioi, S., Štajner, S., Ponzetto, S. P., & Dinu, L. P. (2017). Exploring Neural Text Simplification Models. In R. Barzilay & M.-Y. Kan (A c. Di), Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short




DOI: https://doi.org/10.32043/gsd.v9i2.1477

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