فرا تحلیل کیفی مطالعات هوش مصنوعی در آموزش دانش‌آموزان با نیاز ویژه

References

Aderibigbe, A. O., Ohenhen, P. E., Nwaobia, N. K., Gidiagba, J. O., & Ani, E. C. (2023). Artificial intelligence in developing countries: Bridging the gap between potential and implementation. Computer Science & IT Research Journal, 4(3), 185–199. https://doi.org/10.51594/csitrj.v4i3.629

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

Alkan, A. (2024). The role of artificial intelligence in the education of students with special needs. International Journal of Technology in Education and Science, 8(1), 1–12. https://doi.org/10.46328/ijtes.569

Alone, Y. S., & Bamnote, D. G. R. (2023). Machine learning based application for improving learning disabilities in children. Webology, 20(3), Article 4793.

Alsulami, B. M., Baihan, A., & Abugabah, A. (2024). Enabling secure and inclusive education for students with disabilities and ensuring data through machine learning. Cogent Education, 11(1), Article 2391620. https://doi.org/10.1080/2331186X.2024.2391620

Azimfar, S., Dolatabadi, B., & Zarghi, M. (2024). The impact of artificial intelligence on educational planning for children with special needs. Ninth International Congress of Psychological and Educational Sciences, Tehran, Iran. [In Persian]

Belpaeme, T., Kennedy, J., Ramachandran, A., Scassellati, B., & Tanaka, F. (2018). Social robots for education: A review. Science Robotics, 3(21), Article eaat5954. https://doi.org/10.1126/scirobotics.aat5954

Bhushan, S., Arunkumar, S., Eisa, T. A. E., Nasser, M., Singh, A. K., & Kumar, P. (2024). AI-enhanced dyscalculia screening: A survey of methods and applications for children. Diagnostics, 14(13), Article 1441. https://doi.org/10.3390/diagnostics14131441

Castro, G. P. B., Chiappe, A., Rodríguez, D. F. B., & Sepulveda, F. (2024). Harnessing AI for Education 4.0: Drivers of personalized learning. Electronic Journal of e-Learning, 22(5), 1–14. https://doi.org/10.34190/ejel.22.5.3467

E Guedes, A. A. D. B., Pereira, M. M. H. D. F., Da Silva, J. J. G., De Lima, J. C. M., & De Figueiredo, M. P. P. (2024). Artificial intelligence promoting the inclusion of students with special needs in physical education classes. RCMOS - Revista Científica Multidisciplinar O Saber, 1(1). https://doi.org/10.51473/rcmos.v1i1.2024.565

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. https://doi.org/10.18178/ijiet.2020.10.7.1418

Ghanat, M., Rashidi, Z., & Jafarkhani, F. (2025). A review of the application of mobile learning for students with special needs. Psychology of Exceptional Individuals, 15(58), 79-122. https://doi.org/10.22054/jpe.2025.85247.2808 [In Persian]

Goli, T. (2024). Artificial intelligence and supporting teachers in educating students with special needs. Third National Conference on New Developments in Evolutionary and Educational Psychology, Bandar Abbas, Iran. [In Persian]

Hussein, A., Abdulameer, A. T., Abdulkarim, A., Husni, H. B., & Al-Ubaidi, D. (2024). Classification of dyslexia among school students using deep learning. Journal of Techniques, 6(1), 1–10. https://doi.org/10.51173/jt.v6i1.1893

Jian, M. J. K. O. (2023). Personalized learning through AI. Advances in Engineering Innovation, 5(1), 39–45. https://doi.org/10.54254/2977-3903/5/2023039

Justice, L. M., Ahn, W.-Y., & Logan, J. A. R. (2019). Identifying children with clinical language disorder: An application of machine-learning classification. Journal of Learning Disabilities, 52(4), 351–365. https://doi.org/10.1177/0022219419843120

Kirongo, A. C., Huka, G. S., Bundi, D., Kitaria, D., & Muchiri, G. M. (2022). Implementation of AI-based assistive technologies for learners with physical disabilities in areas of innovation and special schools: A practical design thinking approach. African Journal of Science, Technology and Social Sciences, 1(1), 45–58. https://doi.org/10.58506/ajstss.v1i2.124

Kumar, C. J., & Das, P. R. (2022). The diagnosis of ASD using multiple machine learning techniques. International Journal of Developmental Disabilities, 68(6), 973–983. https://doi.org/10.1080/20473869.2021.1933730

Li, B., Sharma, A., Meng, J., Purushwalkam, S., & Gowen, E. (2017). Applying machine learning to identify autistic adults using imitation: An exploratory study. PLoS ONE, 12(8), Article e0182652. https://doi.org/10.1371/journal.pone.0182652

Maydi, T. A., & Alharthi, M. A. (2023). Attitudes of teachers of students with learning disabilities towards training programs based on artificial intelligence. Journal of Positive School Psychology, 7(6), 268–291. https://journalppw.com/index.php/jpsp/article/view/16979/10749

Momeni, K., & Majzoubi, M. R. (2011). Application of artificial intelligence in the education of exceptional children with an emphasis on learning disabilities. First National Conference on Cognitive Sciences in Education, Mashhad, Iran. [In Persian]

Omiegbe, O. (2024). Artificial intelligence in higher education: Bridging the gap for students with disabilities. British Journal of Education, 12(3), 112–125. https://doi.org/10.37745/bje.2013/vol12n123850

Ovalle, C., García, I. L. V., & Berríos, F. R. Z. (2024). Real-time transcriptionist based on artificial intelligence to facilitate learning for people with hearing disabilities in virtual classes. International Journal of Online and Biomedical Engineering, 20(1), 75–88. https://doi.org/10.3991/ijoe.v20i03.46811

Parikh, M. N., Li, H., & He, L. (2019). Enhancing diagnosis of autism with optimized machine learning models and personal characteristic data. Frontiers in Computational Neuroscience, 13, Article 9. https://doi.org/10.3389/fncom.2019.00009

Radwan, A. M., Birkan, B., Hani, A. F., & Cataltepe, Z. (2017). Active machine learning framework for teaching object recognition skills to children with autism. International Journal of Developmental Disabilities, 63(3), 158–169. https://doi.org/10.1080/20473869.2016.1187362

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(2), Article ep465. https://doi.org/10.30935/cedtech/14111

Rizvi, M. (2023). Investigating AI-powered tutoring systems that adapt to individual student needs, providing personalized guidance and assessments. The Eurasia Proceedings of Educational and Social Sciences, 37, 1–9. https://doi.org/10.55549/epess.1381518

Sarkar, R., Ithikkal, M. P., Prasida Nusarath, T., & Aathira, K. (2024). Artificial intelligence for emotional and behavioral support: Impact on students with learning disabilities. Library Progress International, 44(3), 20685–20697. https://doi.org/10.48165/bapas.2024.44.2.1

Singh, A., Raj, K., Kumar, T., Verma, S., & Roy, A. (2023). Deep learning-based cost-effective and responsive robot for autism treatment. Drones, 7(5), Article 310. https://doi.org/10.3390/drones7050310

Smith, R. A., Smith, E., & Price, M. D. (2024). Utilizing emergent AI chatbot technology to generate mathematical writing models for elementary students with learning disabilities. Intervention in School and Clinic, 59(5), 339–346. https://doi.org/10.1177/10534512231223412

Sukasih, S. S., Sri, Andrijati, D. N., & Nurharini, A. (2024). Integration of games-based artificial intelligence to support differentiated learning and literacy skills of inclusive students with specific learning disorders. Journal of Management World, 7(1), 55–70. https://doi.org/10.53935/jomw.v2024i4.419

Sundas, A., Badotra, S., Rani, S., & Gyaang, R. (2023). Evaluation of autism spectrum disorder based on the healthcare by using artificial intelligence strategies. Journal of Sensors, 2023, Article 1234567. https://doi.org/10.1155/2023/1234567

Susilo, T. (2024). The role of artificial intelligence in personalizing learning for each student. Journal International of Lingua and Technology, 3(2), 85–95. https://doi.org/10.55849/jiltech.v3i2.632

Taş, T., Bülbül, M. A., Haşimoğlu, A., Meral, Y., Caliskan, Y., Budagova, G., & Kutlu, M. (2023). A machine learning approach for dyslexia detection using Turkish audio records. Turkish Journal of Electrical Engineering and Computer Sciences, 31(2), 892–907. https://doi.org/10.55730/1300-0632.4002

Themistocleous, C., Andreou, M., & Peristeri, E. (2024). Autism detection in children: Integrating machine learning and natural language processing in narrative analysis. Behavioral Sciences, 14(2), Article 145. https://doi.org/10.3390/bs14020145

Tilepbergenovna, U. A. (2024). The role of artificial intelligence in education. International Journal of Pedagogics, 4(10), 225–232. https://doi.org/10.37547/ijp/volume04issue10-32

Toofaninejad, E. (2021). The role of virtual social networks in communication skills of students with hearing impairment using social network analysis technique. Psychology of Exceptional Individuals, 11(43), 117-139. https://doi.org/10.22054/JPE.2022.61096.2328 [In Persian]

Yaahoo, H. (2024). The impact and application of artificial intelligence for individuals with physical and mental disabilities. Journal of Psychology and Educational Sciences, 10(2), 299-312. [In Persian]

Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education – Where are the educators? International Journal of Educational Technology in Higher Education, 16, Article 39. https://doi.org/10.1186/s41239-019-0171-0

Zingoni, A., Taborri, J., & Calabrò, G. (2024). A machine learning-based classification model to support university students with dyslexia with personalized tools and strategies. Scientific Reports, 14, Article 1852. https://doi.org/10.1038/s41598-024-01852-6