Parental Perspectives on the Use of Artificial Intelligence Tools in the Education of Individuals with Autism and Intellectual Disabilities

Authors

DOI:

https://doi.org/10.33308/26674874.2026401903

Keywords:

Artificial Intelligence, Parents, Autism, Intellectual Disability

Abstract

This study aims to investigate parental perspectives on the use of artificial intelligence (AI) tools in the education of individuals with autism spectrum disorder and intellectual disabilities. Conducted using a phenomenological design, one of the qualitative research methods, this study employed semi-structured interviews with 13 parents, and the data were analysed using content analysis. According to the findings, while parents have generally heard of AI-based educational tools, they possessed limited knowledge regarding their functions and how they can be utilised in education. Participants stated that AI-supported tools could enhance academic skills, provide individualised learning opportunities, and promote visual-auditory learning. However, concerns, such as the cost of AI tools, security issues, the risk of addiction, and infrastructure deficiencies emerged as significant challenges for parents. Participants emphasised the necessity of informing and educating parents to ensure the effective and safe use of AI tools. The research findings revealed the need to develop policies that include increasing parental awareness about the integration of AI tools into the education of individuals with autism spectrum disorder and intellectual disabilities, providing financial support to address infrastructure inequalities, and providing training on safe technology usage for families.

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Author Biography

Alper Gülay, Recep Tayyip Erdoğan University

e-mail: alper.gulay@erdogan.edu.tr

References

Adeleye, N. O. O., Eden, N. C. A., & Adeniyi, N. I. S. (2024). Innovative teaching methodologies in the era of artificial intelligence: A review of inclusive educational practices. World Journal of Advanced Engineering Technology and Sciences, 11(2), 069–079. DOI: https://doi.org/10.30574/wjaets.2024.11.2.0091

Adıgüzel, O.C. (2019). Eğitim programlarının geliştirilmesinde ihtiyaç analizi el kitabı. (2.Baskı). Anı Yayıncılık.

Afacan, K., & Wilkerson, K. L. (2022). Reading outcomes of students with intellectual disability on statewide assessments. Journal of Intellectual Disabilities, 26(1), 195–210. DOI: https://doi.org/10.1177/1744629521991409

Ahmad, S. F., Rahmat, M. K., Mubarik, M. S., Alam, M. M., & Hyder, S. I. (2021). Artificial intelligence and its role in education. Sustainability, 13(22), 12902. DOI: https://doi.org/10.3390/su132212902

Almufareh, M. F., Tehsin, S., Humayun, M., & Kausar, S. (2023). Intellectual disability and technology: An artificial ıntelligence perspective and framework. Journal of Disability Research, 2(4), 58–70. DOI: https://doi.org/10.57197/JDR-2023-0055

Amaefule, C. O., Breitwieser, J., Biedermann, D., Nobbe, L., Drachsler, H., & Brod, G. (2023). Fostering children's acceptance of educational apps: The importance of designing enjoyable learning activities. British Journal of Educational Technology, 54, 1351–1372. DOI: https://doi.org/10.1111/bjet.13314

Anagnostopoulou, P., Alexandropoulou, V., Lorentzou, G., Lykothanasi, A., Ntaountaki, P., & Drigas, A. (2020). Artificial intelligence in autism assessment. International Journal of Emerging Technologies in Learning (iJET), 15(06), 95. DOI: https://doi.org/10.3991/ijet.v15i06.11231

Apdillah, D., Simanjuntak, C. R. A., Napitupulu, C. N. S. B., Sirait, D. D., & Mangunsong, J. (2022). The role of parents in educating children in the digital age. Review of Multidisciplinary Education, Culture and Pedagogy, 1(3), 1-8. DOI: https://doi.org/10.55047/romeo.v1i3.168

Artemova, I. (2024). Bridging motivation and AI in education: An activity theory perspective. Digital Education Review, 45, 59–67. DOI: https://doi.org/10.1344/der.2024.45.59-67

Bah, Y. M., & Artaria, M. D. (2020). Corona virus (COVID- 19) and education for all achievement: artificial intelligence and special education needs- achievements and challenges. COUNS-EDU The International Journal of Counseling and Education, 5(2), 64–70. DOI: https://doi.org/10.23916/0020200528630

Barua, P. D., Vicnesh, J., Gururajan, R., Oh, S. L., Palmer, E., Azizan, M. M., Kadri, N. A., & Acharya, U. R. (2022). Artificial intelligence enabled personalised assistive tools to enhance education of children with neurodevelopmental disorders—A Review. International Journal of Environmental Research and Public Health, 19(3), 1192. DOI: https://doi.org/10.3390/ijerph19031192

Betlej, A., & Danileviča, A. (2022). Learning Technologies for People with Mild Intellectual Disabilities. From Digital Exclusion to Inclusive E-education in Network Society. International Journal of Research in E-learning, 8(2), 1–20. DOI: https://doi.org/10.31261/IJREL.2022.8.2.07

Büyüköztürk, Ş., Akgün, Ö. E., Demirel, F., Karadeniz, Ş., & Çakmak, E. K. (2015). Bilimsel araştırma yöntemleri. Pegem Akademi.

Creswell, J. W., & Poth, C. N. (2016). Qualitative inquiry and research design: Choosing among five approaches. Sage Publications.

Çankaya, S., & Kuzu, A. (2018). Effectiveness of mobile skill teaching software for parents of individuals with intellectual disability. International Education Studies, 11(3), 1. DOI: https://doi.org/10.5539/ies.v11n3p1

Çayır, A. (2023). A literature review on the effect of artificial intelligence on education. İnsan Ve Sosyal Bilimler Dergisi, 6(2), 276–288. DOI: https://doi.org/10.53048/johass.1375684

Denzin, N. K., & Lincoln, Y. S. (2012). El campo de la investigación cualitativa: Manual de investigación cualitativa Vol. I (Vol. 1). Editorial Gedisa.

Dong, H., Wang, B., Li, H., Yue, X., & Jia, F. (2021). Correlation between screen time and autistic symptoms as well as development quotients in children with autism spectrum disorder. Frontiers in Psychiatry, 12, 619994. DOI: https://doi.org/10.3389/fpsyt.2021.619994

Douali, L., Selmaoui, S., & Bouab, W. (2022). Artificial intelligence in education: Fears and faiths. International Journal of Information and Education Technology, 12(7), 650–657. DOI: https://doi.org/10.18178/ijiet.2022.12.7.1666

Essa, S. G., Celik, T., & Human-Hendricks, N. E. (2023). Personalized adaptive learning technologies based on machine learning techniques to identify learning Styles: A systematic literature review. IEEE Access, 11, 48392–48409. DOI: https://doi.org/10.1109/ACCESS.2023.3276439

Garg, S., & Sharma, S. (2020). Impact of artificial intelligence in Special Need Education to promote inclusive pedagogy. International Journal of Information and Education Technology, 10(7), 523–527. DOI: https://doi.org/10.18178/ijiet.2020.10.7.1418

Göçen, A., & Aydemir, F. (2020). Artificial intelligence in education and schools. Research on Education and Media, 12(1), 13–21. DOI: https://doi.org/10.2478/rem-2020-0003

Hamal, O., Faddouli, N. E., Harouni, M. H. A., & Lu, J. (2022). Artificial intelligent in education. Sustainability, 14(5), 2862. DOI: https://doi.org/10.3390/su14052862

Hirpa, D. A. (2021). Exclusion of children with disabilities from early childhood education: including approaches of social exclusion. Cogent Education, 8(1), 1952824. DOI: https://doi.org/10.1080/2331186X.2021.1952824

Keen, D., Webster, A., & Ridley, G. (2015). How well are children with autism spectrum disorder doing academically at school? An overview of the literature. Autism, 20(3), 276-294. DOI: https://doi.org/10.1177/1362361315580962

Li, G., Zarei, M. A., Alibakhshi, G., & Labbafi, A. (2024). Teachers and educators’ experiences and perceptions of artificial-powered interventions for autism groups. BMC Psychology, 12(1), 199. DOI: https://doi.org/10.1186/s40359-024-01664-2

Lincoln, Y. S., & Guba, E. G. (1985). Naturalistic inquiry. Sage Publications. DOI: https://doi.org/10.1016/0147-1767(85)90062-8

Makarenko, O., Borysenko, O., Horokhivska, T., Kozub, V., & Yaremenko, D. (2024). Embracing artificial intelligence in education: Shaping the learning path for future professionals. Multidisciplinary Science Journal, 6. DOI: https://doi.org/10.31893/multiscience.2024ss0720

Mares, M. L., & Pan, Z. (2013). Effects of Sesame Street: A meta-analysis of children's learning in 15 countries. Journal of Applied Developmental Psychology, 34(3), 140-151. DOI: https://doi.org/10.1016/j.appdev.2013.01.001

Mohajan, H. K. (2017). Two criteria for good measurements in research: Validity and reliability. Annals of Spiru Haret University. Economic Series, 17(4), 59-82. DOI: https://doi.org/10.26458/1746

Montazami, A., Pearson, H. A., Dubé, A. K., Kacmaz, G., Wen, R., & Alam, S. S. (2022). Why this app? How parents choose good educational apps from app stores. British Journal of Educational Technology, 53(6), 1766-1792. DOI: https://doi.org/10.1111/bjet.13213

Mpu, Y. (2023). Bridging the knowledge gap on special needs learner support: The use of artificial intelligence (AI) to combat digital divide post-COVID-19 Pandemic and beyond – A comprehensive literature review. IntechOpen. DOI: https://doi.org/10.5772/intechopen.113054

Normand, C. L., Fisher, M. H., & Simonato, I. (2022). A systematic review of problematic internet use in children, adolescents, and adults with autism spectrum disorder. Review Journal of Autism and Developmental Disorders, 9, 339–356. DOI: https://doi.org/10.1007/s40489-021-00270-x

Oakley, B. F., Tillmann, J., Ahmad, J., Crawley, D., Cáceres, A. S. J., Holt, R., Charman, T., Banaschewski, T., Buitelaar, J., Simonoff, E., Murphy, D., & Loth, E. (2020). How do core autism traits and associated symptoms relate to quality of life? Findings from the longitudinal European Autism Project. Autism, 25(2), 389–404. DOI: https://doi.org/10.1177/1362361320959959

Parmigiani, D., Benigno, V., Giusto, M., Silvaggio, C., & Sperandio, S. (2021). E-inclusion: online special education in Italy during the Covid-19 pandemic. Technology, Pedagogy and Education, 30(1), 111–124. DOI: https://doi.org/10.1080/1475939X.2020.1856714

Popenici, S. a. D., & Kerr, S. (2017). Exploring the impact of artificial intelligence on teaching and learning in higher education. Research and Practice in Technology Enhanced Learning, 12(1), 22. DOI: https://doi.org/10.1186/s41039-017-0062-8

Porayska-Pomsta, K., Alcorn, A. M., Avramides, K., Beale, S., Bernardini, S., Foster, M. E., Frauenberger, C., Good, J., Guldberg, K., Keay-Bright, W., Kossyvaki, L., Lemon, O., Mademtzi, M., Menzies, R., Pain, H., Rajendran, G., Waller, A., Wass, S., & Smith, T. J. (2018). Blending human and artificial intelligence to support autistic children’s social communication skills. ACM Transactions on Computer-Human Interaction, 25(6), 1–35. DOI: https://doi.org/10.1145/3271484

Porayska-Pomsta, K., Frauenberger, C., Pain, H. et al. (2012). Developing technology for autism: An interdisciplinary approach. Personal and Ubiquitous Computing, 16, 117-127. DOI: https://doi.org/10.1007/s00779-011-0384-2

Rizaldi, D. R., Nurhayati, E., Fatimah, Z., & Amni, Z. (2021). The importance of parental assistance in supervising the use of technology for children during the home learning program. International Journal of Engineering Science and Information Technology, 1(3), 7–10. DOI: https://doi.org/10.52088/ijesty.v1i3.78

Røddesnes, S., Faber, H. C., & Jensen, M. R. (2019). NVivo courses in the library. Nordic Journal of Information Literacy in Higher Education, 11(1), 27–38. DOI: https://doi.org/10.15845/noril.v11i1.2762

Russell, S. J., & Norvig, P. (2020). Artificial intelligence: A modern approach (4th ed.). Pearson.

Shivani, Gupta, M., & Gupta, S. B. (2024). A systematic analysis of Ai-empowered educational tools developed in India for disabled people. Information Technologies and Learning Tools, 100(2), 199-216. DOI: https://doi.org/10.33407/itlt.v100i2.5501

Taconet, A. V., Lombardi, A. R., Madaus, J. W., Sinclair, T. E., Rifenbark, G. G., Morningstar, M. E., & Langdon, S. N. (2023). Interventions focused on independent living skills for youth with intellectual disability or autism spectrum disorder. Career Development and Transition for Exceptional Individuals, 47(1), 32-45. DOI: https://doi.org/10.1177/21651434231152200

Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478. DOI: https://doi.org/10.2307/30036540

Yıldırım, A., & Şimşek, H. (2018). Sosyal bilimlerde nitel araştırma yöntemleri (10. baskı). Seçkin Yayıncılık.

Zdravkova, K., Krasniqi, V., Dalipi, F., & Ferati, M. (2022). Cutting-edge communication and learning assistive technologies for disabled children: An artificial intelligence perspective. Frontiers in Artificial Intelligence, 5, 970430. DOI: https://doi.org/10.3389/frai.2022.970430

Zheng, P., & Libertus, M. (2018). The role of parental education, household income, and race on parents’ academic beliefs and the provision of home learning opportunities for 4- to 8-year-old children. Journal of Educational and Developmental Psychology, 8(1), 118. DOI: https://doi.org/10.5539/jedp.v8n1p118

Zheng, R., & Badarch, T. (2022). Research on Applications of Artificial Intelligence in Education. American Journal of Computer Science and Technology, 5(2), 72-79. DOI: https://doi.org/10.11648/j.ajcst.20220502.17

Published

2026-01-31

How to Cite

Gülay, A. (2026). Parental Perspectives on the Use of Artificial Intelligence Tools in the Education of Individuals with Autism and Intellectual Disabilities. Journal of Education for Life, 40(1), 232–245. https://doi.org/10.33308/26674874.2026401903