INTEGRATING GENAI INTO EVIDENCE-BASED READING PRACTICES FOR DYSLEXIA: INSIGHTS FROM A CLASSROOM CASE STUDY IN GREEK EFL EDUCATION

نویسندگان

  • Ioanna Kiapekaki Hellenic Open University, Greece
  • Emmanouela V. Seiradakis Hellenic Open University, Greece Technical University of Crete, Greece

DOI:

https://doi.org/10.46827/ejoe.v11i1.6591

کلمات کلیدی:

Dyslexia, EFL, Greek, reading, generative artificial intelligence

چکیده

Learning to read in a foreign language can present additional challenges for learners with dyslexia, particularly when the orthographic structure of the second language differs significantly from that of the learner’s first language. Greek is considered a relatively transparent orthography, whereas English represents a deep orthography characterized by inconsistent grapheme-phoneme correspondences. This cross-linguistic difference may create additional barriers for Greek learners with dyslexia when learning English as a foreign language. The present study examines the reading difficulties of a Greek learner with dyslexia and explores the potential impact of a structured instructional intervention supported by generative artificial intelligence (GenAI) tools. The study employed a qualitative classroom-based case study design with a pre-post intervention component. The participant was a thirteen-year-old Greek learner of English diagnosed with dyslexia. Data were collected through oral reading assessments, miscue analysis, and systematic classroom observations. The intervention integrated multisensory phonological instruction, repeated reading activities, and GenAI-assisted development of adapted reading materials. Findings indicate improvements in decoding accuracy, reading fluency, and self-monitoring behaviour following the intervention. The learner produced fewer pronunciation errors, increased reading stability, and greater independence when encountering unfamiliar words. The results suggest that structured literacy approaches combined with GenAI-assisted material design may support the development of reading skills for dyslexic learners in English as a foreign language contexts. Although the findings are limited to a single case, the study shows the potential of combining evidence-based reading instruction with emerging educational technologies to support inclusive language education.

بیوگرافی نویسندگان

  • Ioanna Kiapekaki، Hellenic Open University, Greece

    Ioanna Kiapekaki is a postgraduate student at the Hellenic Open University in Greece. She has extensive language teaching experience, and her research interests include inclusive education and ESP.

  • Emmanouela V. Seiradakis، Hellenic Open University, Greece Technical University of Crete, Greece

    Dr. Emmanouela V. Seiradakis is an adjunct professor at the Hellenic Open University and the Technical University of Crete. She has been teaching in higher education for more than ten years. Her research interests include special and intercultural education and educational technologies.

مراجع

Birsh, J. R., & Carreker, S. (Eds.). (2018). Multisensory teaching of basic language skills (4th ed.). Paul H. Brookes Publishing. Retrieved from https://brookespublishing.com/wp-content/uploads/2021/01/Birsh_4e_excerpt.pdf

Carioti, D., Masia, M. F., Travellini, S., & Berlingeri, M. (2021). Orthographic depth and developmental dyslexia: A meta-analytic study. Annals of Dyslexia, 71(3), 399–438. https://doi.org/10.1007/s11881-021-00226-0

CAST. (2018). Universal Design for Learning guidelines version 2.2. http://udlguidelines.cast.org

Creswell, J. W., & Creswell, J. D. (2018). Research design: Qualitative, quantitative, and mixed methods approaches (5th ed.). SAGE. Retrieved from uk.sagepub.com/en-gb/eur/research-design/book270550

Damianidou, E. (2025). Artificial intelligence and disability: Using ChatGPT to improve the well-being and understand the needs of students with autism spectrum disorder. In Technology for inclusion and participation for all: Recent achievements and future directions (pp. 18–24). Springer. https://doi.org/10.1007/978-3-032-01628-7_3

Daniels, P. T., & Share, D. L. (2018). Writing system variation and its consequences for reading and dyslexia. Scientific Studies of Reading, 22(2), 101–116. https://doi.org/10.1080/10888438.2017.1379082

Giaouri, S., & Charisi, M. (2025). Enhancing IEP design in inclusive primary settings through ChatGPT: A mixed-methods study with special educators. Education Sciences, 15(8), 1065. https://doi.org/10.3390/educsci15081065

Goodman, Y. M., Watson, D. J., & Burke, C. L. (2005). Reading miscue inventory: From evaluation to instruction (2nd ed.). Richard C. Owen Publishers. Retrieved from https://books.google.es/books/about/Reading_Miscue_Inventory_from_Evaluation.html?id=uX90AAAACAAJ&redir_esc=y

Hall, C., Dahl-Leonard, K., Cho, E., Solari, E. J., Capin, P., Conner, C. L., Henry, A. R., Cook, L., Hayes, L., Vargas, I., Richmond, C. L., & Kehoe, K. F. (2023). Forty years of reading intervention research for elementary students with or at risk for dyslexia: A systematic review and meta-analysis. Reading Research Quarterly, 58(2), 285–312. https://doi.org/10.1002/rrq.477

Hatzidaki, A., Gianneli, M., Petrakis, E., Makaronas, N., & Aslanides, I. M. (2011). Reading and visual processing in Greek dyslexic children: An eye-movement study. Dyslexia, 17(1), 85–104. https://doi.org/10.1002/dys.416

He, Y., Chen, E., & Fletcher, R. (2025). Exploring generative AI in learning: Neurodivergent and disabled students’ voices in higher education. In Artificial Intelligence in Education (pp. 478–485). Springer. https://doi.org/10.1007/978-3-031-98462-4_60

Holmes, W., & Tuomi, I. (2022). State of the art and practice in AI in education. European Journal of Education, 57(4), 542–570. https://doi.org/10.1111/ejed.12533

Landerl, K., Wimmer, H., & Frith, U. (1997). The impact of orthographic consistency on dyslexia: A German-English comparison. Cognition, 63(3), 315–334. https://doi.org/10.1016/S0010-0277(97)00005-X

Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. (2016). Intelligence unleashed: An argument for AI in education. Pearson. Retrieved from https://static.googleusercontent.com/media/edu.google.com/en//pdfs/Intelligence-Unleashed-Publication.pdf

Mavrommati, T. D., & Miles, T. R. (2002). A pictographic method for teaching spelling to Greek dyslexic children. Dyslexia, 8(2), 86–101. https://doi.org/10.1002/dys.216

Merriam, S. B., & Tisdell, E. J. (2016). Qualitative research: A guide to design and implementation (4th ed.). Jossey-Bass. Retrieved from https://books.google.es/books/about/Qualitative_Research.html?id=JFN_BwAAQBAJ&redir_esc=y

Mishra, P., & Koehler, M. J. (2006). Technological pedagogical content knowledge: A framework for teacher knowledge. Teachers College Record, 108(6), 1017–1054. Retrieved from https://rediie.cl/wp-content/uploads/Mishra-Koehler.pdf

Moll, K., Ramus, F., Bartling, J., Bruder, J., Kunze, S., Neuhoff, N., Streiftau, S., Lyytinen, H., Leppänen, P. H. T., Lohvansuu, K., Tóth, D., Honbolygó, F., Csépe, V., Bogliotti, C., Iannuzzi, S., Démonet, J.-F., Longeras, E., Valdois, S., George, F., Soares-Boucaud, I., le Heuzey, M.-F., Billard, C., O’Donovan, M., Hill, G., Williams, J., Brandeis, D., Maurer, U., Schulz, E., van der Mark, S., Müller-Myhsok, B., Schulte-Körne, G., & Landerl, K. (2014). Cognitive mechanisms underlying reading and spelling development in five European orthographies. Learning and Instruction, 29, 65–77. https://doi.org/10.1016/j.learninstruc.2013.09.003

Nikolopoulos, D., Goulandris, N., & Snowling, M. J. (2003). Developmental dyslexia in Greek. In N. Goulandris (Ed.), Dyslexia in different languages: Cross-linguistic comparisons (pp. 53–67). Whurr.

Protopapas, A., & Vlahou, E. L. (2009). A comparative quantitative analysis of Greek orthographic transparency. Behavior Research Methods, 41(4), 991–1008. https://doi.org/10.3758/BRM.41.4.991

Rasinski, T. V. (2010). The fluent reader: Oral reading strategies for building word recognition, fluency, and comprehension (2nd ed.). Scholastic. Retrieved from https://books.google.es/books/about/The_Fluent_Reader.html?id=6LTSIaZYA4YC&redir_esc=y

Rizos, I., Foykas, E., & Georgakopoulos, S. V. (2024). Enhancing mathematics education for students with special educational needs through generative AI: A case study in Greece. Contemporary Educational Technology, 16(4), ep535. https://doi.org/10.30935/cedtech/15487

Ronksley-Pavia, M., Nguyen, L., Wheeley, E., Rose, J., Neumann, M. M., Bigum, C., & Neumann, D. L. (2025). A scoping literature review of generative artificial intelligence for supporting neurodivergent school students. Computers & Education: Artificial Intelligence, 9, 100437. https://doi.org/10.1016/j.caeai.2025.100437

Seiradakis, E. V. (2024). ChatGPT as a learning tool for migrant students with disabilities in upper secondary vocational education: An intersectional study. In New media pedagogy: Research trends, methodological challenges, and successful implementations (pp. 205–219). Springer. https://doi.org/10.1007/978-3-031-95627-0_14

Seiradakis, E. V. (2025). ChatGPT use: Drivers and barriers in English for academic purposes among migrant students with learning disabilities. In Reimagining intelligent computer-assisted language education (pp. 309–330). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3693-4310-4.ch011

Snowling, M. J., & Hulme, C. (2021). Annual Research Review: Reading disorders revisited–the critical importance of oral language. Journal of Child Psychology and Psychiatry, 62(5), 635-653. https://doi.org/10.1111/jcpp.13324

Shaywitz, S. (2020). Overcoming dyslexia (2nd ed.). Knopf. Retrieved from https://books.google.es/books/about/Overcoming_Dyslexia_2020_Edition.html?id=jHU02hSTCJsC&redir_esc=y

Toki, E. I. (2024). Using eye-tracking to assess dyslexia: A systematic review of emerging evidence. Education Sciences, 14(11), 1256. https://doi.org/10.3390/educsci14111256

Wallbank, A. J. (2025). Supporting learning differences for assessments: Universal Design for Learning, GenAI, and assessment as learning. In Academic writing, assessment, and neurodiversity: Pedagogies for inclusion. Routledge. Retrieved from https://www.routledge.com/Academic-Writing-Assessment-and-Neurodiversity-Pedagogies-for-Inclusion/Wallbank/p/book/9781032505497

Yin, R. K. (2018). Case study research and applications: Design and methods (6th ed.). SAGE. Retrieved from https://books.google.es/books/about/Case_Study_Research_and_Applications.html?id=6DwmDwAAQBAJ&redir_esc=y

Ziegler, J. C., & Goswami, U. (2005). Reading acquisition, developmental dyslexia, and skilled reading across languages: A psycholinguistic grain size theory. Psychological Bulletin, 131(1), 3–29. https://doi.org/10.1037/0033-2909.131.1.3

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چاپ شده

2026-03-17

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Articles