Research Article

Generative conversational AI: Active practices for fostering students with mild intellectual disabilities to improve English communication skills

Mohamed Ali Elkot 1 * , Eltaieb Youssif 2 , Omer Elsheikh Hago Elmahdi 3 , Mohammed AbdAlgane 4 , Rabea Ali 4
More Detail
1 Department of Educational Technology, College of Education, Qassim University, SAUDI ARABIA2 Department of Special Education, College of Education, Qassim University, SAUDI ARABIA3 Department of Languages & Translation, Taibah University, SAUDI ARABIA4 Department of English Language & Literature, College of Languages & Humanities, Qassim University, SAUDI ARABIA* Corresponding Author
Contemporary Educational Technology, 17(1), January 2025, ep549, https://doi.org/10.30935/cedtech/15688
Published Online: 05 December 2024, Published: 01 January 2025
OPEN ACCESS   422 Views   244 Downloads
Download Full Text (PDF)

ABSTRACT

Utilizing artificial intelligence (AI) technology in educational institutions for students with mild intellectual disabilities offers promising avenues for enhancing this population’s learning outcomes and skill development. This study aims to investigate the effect of using generative conversational AI to improve English communication skills among students with mild intellectual disabilities. The study involved twelve students diagnosed with mild intellectual disabilities, divided equally into two groups. Six students engaged in guided conversations with AI, while the other six participated in free conversations with AI. These participants were randomly chosen from educational institutions specializing in intellectual disability education and mainstream schools. The results indicate that guided conversations significantly enhance English communication skills among participants. Additionally, the study highlights the development gains from engaging in guided conversations by AI applications. Statistical analysis reveals notable differences in the effect of guided versus free conversational approaches, with guided conversations yielding superior outcomes. This underscores the importance of structured guidance for comprehension and participation in different English communication skills among students with mild intellectual disabilities. Moreover, the study recommends the integration of AI tools in education to support students with disabilities, emphasizing the need for tailored AI applications to cater to diverse learning needs.

CITATION (APA)

Elkot, M. A., Youssif, E., Hago Elmahdi, O. E., AbdAlgane, M., & Ali, R. (2025). Generative conversational AI: Active practices for fostering students with mild intellectual disabilities to improve English communication skills. Contemporary Educational Technology, 17(1), ep549. https://doi.org/10.30935/cedtech/15688

REFERENCES

  1. Adiguzel, T., Kaya, M. H., & Cansu, F. K. (2023). Revolutionizing education with AI: Exploring the transformative potential of ChatGPT. Contemporary Educational Technology, 15(3), Article ep429. https://doi.org/10.30935/cedtech/13152
  2. Aldosari, S. A. M. (2020). The future of higher education in the light of artificial intelligence transformations. International Journal of Higher Education, 9(3), 145–151. https://doi.org/10.5430/ijhe.v9n3p145
  3. Alhumaid, M. M., Althikr Allah, B. A., Alhuwail, A. A., Alobaid, M. A., Abu Hamad, N. N., Alsalman, Z. A., Alqahtani, S. S., Alherz, A. M., Alwael, W. M., Alhelal, A. K., Alsubaie, S. A., Alwarthan, M. S., Alnaeem, F. O., Aleid, S. H., Almuhaisen, S. Y., Alobaydullah, A. A., Alzamami, A. R., Alqadiri, S. A., Alsubhi, S. H., …, & Bastos, T. (2022). Physical education teachers’ attitudes toward inclusion of students with disabilities in Saudi Arabia. Frontiers in Psychology, 13. https://doi.org/10.3389/fpsyg.2022.1006461
  4. Ali, R., & Algane, M. A. A. (2020). Teaching English literacy in the time of COVID-19 pandemic in higher education: A case study in Saudi Qassim University. Multicultural Education, 6(5), 204–215. https://doi.org/10.5281/zenodo.4374526
  5. Ali, Z. (2020). Artificial intelligence (AI): A review of its uses in language teaching and learning. IOP Conference Series: Materials Science and Engineering, 769, Article 012043. https://doi.org/10.1088/1757-899X/769/1/012043
  6. Amponsah, S., & Bekele, T. A. (2023). Exploring strategies for including visually impaired students in online learning. Education and Information Technologies, 28(8), 9355–9377. https://doi.org/10.1007/s10639-022-11145-x
  7. Aremu, B. V., Ayodeji, M. A., & Adeoluwa, O. V. (2023). Utilization of podcast and students’ learning attitude at the universities in Ekiti State. African Multidisciplinary Journal of Development, 12(1), 93–102. https://doi.org/10.59568/amjd-2023-12-1-09
  8. Baxter, A., & Reeves, L. M. (2023). Inclusion of digital literacy skills in transition planning for students with intellectual disabilities. Journal of Special Education Technology, 38(3), 384–391. https://doi.org/10.1177/01626434221120416
  9. Carolus, A., Augustin, Y., Markus, A., & Wienrich, C. (2023). Digital interaction literacy model–Conceptualizing competencies for literate interactions with voice-based AI systems. Computers and Education: Artificial Intelligence, 4, Article 100114. https://doi.org/10.1016/j.caeai.2022.100114
  10. Chaka, C. (2023). Generative AI chatbots–ChatGPT versus YouChat versus Chatsonic: Use cases of selected areas of applied English language studies. International Journal of Learning, Teaching and Educational Research, 22(6), 1–19. https://doi.org/10.26803/ijlter.22.6.1
  11. Cheng, X. (2023). The widespread application of artificial intelligence in education necessitates critical analyses. Science Insights Education Frontiers, 16(2), 2475–2476. https://doi.org/10.15354/sief.23.co081
  12. Danker, J., Strnadová, I., Tso, M., Loblinzk, J., Cumming, T. M., & Martin, A. J. (2023). ‘It will open your world up’: The role of mobile technology in promoting social inclusion among adults with intellectual disabilities. British Journal of Learning Disabilities, 51(2), 135–147. https://doi.org/10.1111/bld.12500
  13. Deveci Topal, A., Kolburan Geçer, A., & Çoban Budak, E. (2023). An analysis of the utility of digital materials for high school students with intellectual disability and their effects on academic success. Universal Access in the Information Society, 22(1), 95–110. https://doi.org/10.1007/s10209-021-00840-0
  14. Dhiyaneshwari, R. P., & Devi, C. R. (2023). Understanding the perspectives and usability of digital games for children with intellectual disabilities. Journal of Applied Engineering and Technological Science, 5(1), 608–621. https://doi.org/10.37385/jaets.v5i1.1657
  15. Dieterle, E., Dede, C., & Walker, M. (2024). The cyclical ethical effects of using artificial intelligence in education. AI and Society, 39(2), 633–643. https://doi.org/10.1007/s00146-022-01497-w
  16. Dorney, K., Geist, L., Greer, C., & Quick, N. A. (2021). Receptive language in IEPs of students with significant cognitive [PhD dissertation, University of North Carolina at Chapel Hill]. https://doi.org/10.17615/bem5-k686
  17. Durak, E., Durak, Ö., Özkayagil, S., Kuşçu, S., & Gül, Z. (2023). The role of new media technologies in improving communication skills of intellectual disabled individuals. Eğitim ve Yeni Yaklaşımlar Dergisi, 6(2), 350–366. https://doi.org/10.52974/jena.1314719
  18. Dwivedi, Y. K., Hughes, L., Ismagilova, E., Aarts, G., Coombs, C., Crick, T., Duan, Y., Dwivedi, R., Edwards, J., Eirug, A., Galanos, V., Ilavarasan, P. V., Janssen, M., Jones, P., Kar, A. K., Kizgin, H., Kronemann, B., Lal, B., Lucini, B., …, & Williams, M. D. (2021). Artificial intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. International Journal of Information Management, 57, Article 101994. https://doi.org/10.1016/j.ijinfomgt.2019.08.002
  19. Elkot, M. A., & Ali, R. (2020). Enhancing self-regulated learning strategy via Handheld devices for improving english writing skills and motivation. International Journal of Information and Education Technology, 10(11), 805–812. https://doi.org/10.18178/ijiet.2020.10.11.1462
  20. Fang, T., Yang, S., Lan, K., Wong, D. F., Hu, J., Chao, L. S., & Zhang, Y. (2023). Is ChatGPT a highly fluent grammatical error correction system? A comprehensive evaluation. arXiv. https://doi.org/10.48550/arXiv.2304.01746
  21. Fitria, T. N. (2023). (2023). Artificial intelligence (AI) technology in OpenAI ChatGPT application: A review of ChatGPT in writing English essay. Journal of English Language Teaching, 12(1), 44–58. https://doi.org/10.15294/elt.v12i1.64069
  22. Gervacio, M. J. (2023). Breaking barriers in academic writing. International Journal of Asian Education, 4(4), 256–264. https://doi.org/10.46966/ijae.v4i4.361
  23. Gibson, R. C., Bouamrane, M. M., & Dunlop, M. (2019). Design requirements for a digital aid to support adults with mild learning disabilities during clinical consultations: Qualitative study with experts. JMIR Rehabilitation and Assistive Technologies, 6(1), Article e10449. https://doi.org/10.2196/10449
  24. Gibson, R. C., Bouamrane, M. M., & Dunlop, M. D. (2021). Alternative and augmentative communication technologies for supporting adults with mild intellectual disabilities during clinical consultations: Scoping review. JMIR Rehabilitation and Assistive Technologies, 8(2), Article e19925. https://doi.org/10.2196/19925
  25. Huang, J., & Tan, M. (2023). The role of ChatGPT in scientific communication: Writing better scientific review articles. American Journal of Cancer Research, 13(4), 1148–1154.
  26. Ishartiwi, Handoyo, R. R., Prabawati, W., & Suseno, A. (2023). The individualized instruction application for personal-social skills of students with intellectual disabilities. Cakrawala Pendidikan, 42(2), 280–294. https://doi.org/10.21831/cp.v42i2.49240
  27. Jin, J., & Kim, M. (2023). GPT-empowered personalized eLearning system for programming languages. Applied Sciences, 13(23), Article 12773. https://doi.org/10.3390/app132312773
  28. Jobin, A., Ienca, M., & Vayena, E. (2019). Artificial intelligence: The global landscape of ethics guidelines. Nature Machine Intelligence, 1, 389–399. https://doi.org/10.1038/s42256-019-0088-2
  29. Klefbeck, K. (2023). Educational approaches to improve communication skills of learners with autism spectrum disorder and comorbid intellectual disability: An integrative systematic review. Scandinavian Journal of Educational Research, 67(1), 51–68. https://doi.org/10.1080/00313831.2021.1983862
  30. Koutheair Khribi, M. (2022). Toward accessible online learning for visually impaired and blind students. Nafath, 7(19), 10–17. https://doi.org/10.54455/mcn.19.02
  31. Kundu, P., & Bairagya, S. (2021). Role of teacher education to develop inclusive attitude among teachers for inclusive education. https://www.researchgate.net/publication/353043994_Role_of_Teacher_Education_to_develop_inclusive_Attitude_among_teachers_for_Inclusive_Education
  32. Ladias, G., Iatraki, G., & Soulis, S. G. (2022). Providing access to reading comprehension for Greek secondary students with mild intellectual disabilities. Education Sciences, 12(12), Article 921. https://doi.org/10.3390/educsci12120921
  33. Lamb, R., Choi, I., & Owens, T. (2023). Artificial intelligence and sensor technologies the future of education students with and without intellectual and developmental disabilities. International Journal of Psychology and Neuroscience, 9(1), 30–36. https://doi.org/10.56769/ijpn09102
  34. Liao, H., Xiao, H., & Hu, B. (2023). Revolutionizing ESL teaching with generative artificial intelligence–Take ChatGPT as an example. International Journal of New Developments in Education, 5(20), 39–46. https://doi.org/10.25236/ijnde.2023.052008
  35. Ligot, D. V. (2024). Performance, skills, ethics, generative AI adoption, and the Philippines. SSRN. https://doi.org/10.2139/ssrn.4715603
  36. Masłowska, M. (2020). Verbal communication in students with mild intellectual disabilities at an early elementary school age. Special School, LXXXI(4), 264–272. https://doi.org/10.5604/01.3001.0014.4733
  37. Mohammed, A., Ali, R., & Abdullah, A. (2021). The reality of using artificial intelligence techniques in teacher preparation programs in light of the opinions of faculty members: A case study in Saudi Qassim University. Multicultural Education, 7(1), 5–16. https://doi.org/10.5281/zenodo.4410582
  38. Nepo, K., Tincani, M., Axelrod, S., & Meszaros, L. (2017). IPod Touch® to increase functional communication of adults with autism spectrum disorder and significant intellectual disability. Focus on Autism and Other Developmental Disabilities, 32(3), 209–217. https://doi.org/10.1177/1088357615612752
  39. Ng, S. H. S., & Chan, H. (2024). Navigating the nexus of AI literacies: A study on generative AI practices among NTU students. INTED2024 Proceedings, 1, 2176–2185. https://doi.org/10.21125/inted.2024.0600
  40. Okaiyeto, S. A., Bai, J., & Xiao, H. (2023). Generative AI in education: To embrace it or not? International Journal of Agricultural and Biological Engineering, 16(3), 285–286. https://doi.org/10.25165/J.IJABE.20231603.8486
  41. Olga Tzirides, A., Saini, A., Zapata, G., Searsmith, D., Cope, B., Kalantzis, M., Castro, V., Kourkoulou, T., Jones, J., Abrantes da Silva, R., Whiting, J., Polyxeni Kastania, N., & Olga, A. (2023). Implications and applications for education. arXiv. https://doi.org/10.48550/arXiv.2305.07605
  42. Papanastasiou, G., Drigas, A., Skianis, C., & Lytras, M. (2020). Brain computer interface based applications for training and rehabilitation of students with neurodevelopmental disorders. A literature review. Heliyon, 6(9), Article e04250. https://doi.org/10.1016/j.heliyon.2020.e04250
  43. Papangelis, A., Gopalakrishnan, K., Padmakumar, A., Kim, S., Tur, G., & Hakkani-Tu, D. (2021). Generative conversational networks. In Proceedings of the 22nd Annual Meeting of the Special Interest Group on Discourse and Dialogue (pp. 111–120). https://doi.org/10.18653/v1/2021.sigdial-1.12
  44. Rao, K., Torres, C., & Smith, S. J. (2021). Digital tools and UDL-based instructional strategies to support students with disabilities online. Journal of Special Education Technology, 36(2), 105–112. https://doi.org/10.1177/0162643421998327
  45. Sanabria-Navarro, J. R., Silveira-Pérez, Y., Pérez-Bravo, D. D., & de-Jesús-Cortina-Núñez, M. (2023). Incidences of artificial intelligence in contemporary education. Comunicar, 31(77), 97–107. https://doi.org/10.3916/C77-2023-08
  46. Sari, R. R. (2024). Evaluation of chatbot AI application in accounting learning in high schools: Challenges and impacts. Ideguru Jurnal Karya Ilmiah Guru, 9(3), 1440–1445. https://doi.org/10.51169/ideguru.v9i3.1139
  47. Savita, K., & Sharma, S. (2021). A systematic review of teachers perceptions towards effective teaching-learning of students with intellectual disability. International Journal of Advanced Research, 9(11), 669–674. https://doi.org/10.21474/ijar01/13789
  48. Seo, K., Tang, J., Roll, I., Fels, S., & Yoon, D. (2021). The impact of artificial intelligence on learner-instructor interaction in online learning. International Journal of Educational Technology in Higher Education, 18, Article 54. https://doi.org/10.1186/s41239-021-00292-9
  49. Suh, S., & An, P. (2022). Leveraging generative conversational AI to develop a creative learning environment for computational thinking. Proceedings IUI, 1(1), 73–76. https://doi.org/10.1145/3490100.3516473
  50. Tarigan, K. E., Prayuda, M. S., Stevani, M., & Marianus, S. M. (2023). Metode distributed practice pada phonic dan vocabulary bagi siswa usia dini di kecamatan Barus Jahe Tanah Karo [Distributed practice method on phonics and vocabulary for early childhood students in Barus Jahe sub-District, Tanah Karo]. Jurnal Pemberdayaan Sosial Dan Teknologi Masyarakat, 2(2), 150–154. https://doi.org/10.54314/jpstm.v2i2.1149
  51. Teng, M. F., & Cui, Y. (2024). Comparing incidental learning of single words and collocations from different captioning conditions: The role of vocabulary knowledge and working memory. Journal of Computer Assisted Learning, 40(3), 973–989. https://doi.org/10.1111/jcal.12910
  52. Thompson, I., Koenig, N., Mracek, D. L., & Tonidandel, S. (2023). Deep learning in employee selection: Evaluation of algorithms to automate the scoring of open-ended assessments. Journal of Business and Psychology, 38(3), 509–527. https://doi.org/10.1007/s10869-023-09874-y
  53. Vladimirovna, S. O., Andreevna, P. N., Mikhaylovna, B. N., Yuryevna, K. G., & Vladimirovna, P. J. (2020). Development of digital intelligence among participants of inclusive educational process. Propósitos y Representaciones, 8(SPE2), Article e675. https://doi.org/10.20511/pyr2020.v8nspe2.675
  54. Weng, X., & Chiu, T. K. F. (2023). Instructional design and learning outcomes of intelligent computer assisted language learning: Systematic review in the field. Computers and Education: Artificial Intelligence, 4, Article 100117. https://doi.org/10.1016/j.caeai.2022.100117
  55. Wynn, A., & Wang, J. (2023). BETTER: An automatic feedBack systEm for supporTing emoTional spEech tRaining. In N. Wang, G. Rebolledo-Mendez, N. Matsuda, O. C. Santos, & V. Dimitrova (Eds.), Artificial intelligence in education. AIED 2023. Lecture Notes in Computer Science (), vol 13916 (pp. 746–752). Springer. https://doi.org/10.1007/978-3-031-36272-9_66
  56. Xia, Q., Chiu, T. K. F., & Chai, C. S. (2023). The moderating effects of gender and need satisfaction on self-regulated learning through artificial intelligence (AI). Education and Information Technologies, 28(7), 8691–8713. https://doi.org/10.1007/s10639-022-11547-x
  57. Yang, H., Gao, C., & Shen, H. Z. (2024). Learner interaction with, and response to, AI-programmed automated writing evaluation feedback in EFL writing: An exploratory study. Education and Information Technologies, 29(4), 3837–3858. https://doi.org/10.1007/s10639-023-11991-3
  58. Yang, T. C., & Chen, J. H. (2023). Pre-service teachers’ perceptions and intentions regarding the use of chatbots through statistical and lag sequential analysis. Computers and Education: Artificial Intelligence, 4, Article 100119. https://doi.org/10.1016/j.caeai.2022.100119
  59. Yngve, M., Ekbladh, E., Lidström, H., & Hemmingsson, H. (2023). Information and communication technology to improve school participation among upper secondary school students with special educational needs. Scandinavian Journal of Occupational Therapy, 30(3), 311–321. https://doi.org/10.1080/11038128.2021.1998610
  60. Youssif, E., Abdalgane, M., Ali, R., & Elkot, M. A. (2024). Exploring self-efficacy in special education: A comparative study of teachers for intellectual disabilities and autism spectrum disorder. Kurdish Studies, 12(1), 4234–4248.
  61. Zairul, M., Azli, M., & Azlan, A. (2023). Defying tradition or maintaining the status quo? Moving towards a new hybrid architecture studio education to support blended learning post-COVID-19. International Journal of Architectural Research, 17(3), 554–573. https://doi.org/10.1108/ARCH-11-2022-0251