Self-Efficacy and Attitudes of Learning Disabilities Teachers Toward the Use of Artificial Intelligence in Education: Evidence from Saudi Arabia
Keywords:
Learning disabilities teachers; artificial intelligence; self-efficacy; attitudesAbstract
In line with recent trends toward integrating artificial intelligence (AI) in special education, this study examined learning disability teachers’ perceptions of self-efficacy and attitudes toward using AI and explored their relationships with gender, academic qualification, years of teaching experience, and participation in training courses related to AI applications in education. A descriptive qualitative approach was employed, and data were collected through an electronic questionnaire administered to 114 teachers of students with learning disabilities in the Eastern Province of Saudi Arabia. Descriptive statistics and correlational analyses were used to analyse the data. The findings indicated that teachers showed moderate self-efficacy and positive attitudes toward AI, with only a small gender difference in attitudes and a very small positive correlation between self-efficacy and attitudes. These results suggest the importance of targeted professional training programs and contextual institutional support to enhance the effective integration of AI in educational practice, while avoiding assumptions of broad or uniform impact. The study contributes to the objectives of Vision 2030 by informing professional development initiatives, supporting instructional practices, and identifying directions for future research in AI-supported special education.
https://doi.org/10.26803/ijlter.25.2.17
References
Abdel-Raouf, M. M. A. (2022). A framework for future professional development based on cognitive capital technology to develop AI-based science teaching practices among primary education teachers. Studies in Curriculum and Teaching Methods, (254), 67–188. http://search.mandumah.com/Record/1274705
Abdel Salam, W. M. H. (2021). Applications of artificial intelligence in education: Domains, requirements, and ethical risks. Journal of the Faculty of Education, Menoufia University, 2(4), 387–466. https://search.emarefa.net/detail/BIM-1304608
Abdul Latif, I. A. M. (2020). Specialization in digital learning using artificial intelligence applications among women who welcome digital learning. The Arab Journal of Talent and Disability Sciences. 4(14), 487–542. https://doi.org/10.21608/JASHT.2020.122086
Adiyono, A., Al Matari, A. S., Patimah, L., Syahrani, S., & Nasywa, A. A. A. S. (2025a). Can AI-optimized YouTube videos enhance Islamic religious education? A quantitative study on student learning outcomes. Journal of Islamic Religious Education, 22(1), 175–194. https://doi.org/10.14421/jpai.v22i1.11100
Adiyono, A., Nurhayati, S., Muti’ah, N., Abdurrohim, A., Rienovita, E., & Arianti, S. (2025b). Self-Efficacy as a Mediator: How Self-Regulated Learning and Family Support Reduce Academic Procrastination Among Indonesian English as a Foreign Language (EFL) Students. International Journal of TESOL Studies, 7(1), 148.? https://doi.org/10.58304/ijts.20250619
Adiyono, A., Suwartono, T., Nurhayati, S., Dalimarta, F.F., & Wijayanti, O. (2025c). Impact of artificial intelligence on student reliance for exam answers: a case study in IRCT Indonesia. International Journal of Learning, Teaching and Educational Research. https://doi.org/10.26803/ijlter.24.3.22
Abu Rasin, A. A. A., & Al-Rubaian, A, A. A. (2023). The need for self and its relationship to the professional motivation for achievement among teachers of students with LDs. Journal of Special Education and Rehabilitation, 15(52), 80–120 http://search.mandumah.com/Record/1354049
Ahmed, A. F. G. S., Saqr, A. A. M., & Al-Najjar, A. A. A. J. (2021). The relationship between perceived quality of work life and self-efficacy of special education teachers. Journal of the College of Education, (100), 309–328. http://search.mandumah.com/Record/1137781
Al-Ajaji, I. A, (2017). Using virtual classrooms with intermediate school students who have LDs. Journal of Special Education and Rehabilitation, 4(16), 153–194. https://doi.org/ 10.21608/sero.2017.91826
Al-Amer, S. A. (2023). The level of self-efficacy among special education teachers in integration classes from the teachers’ own perspective. Journal of Humanities, (19), 245–265 http://search.mandumah.com/Record/1414591
Al-Bashar, M. A. A. (2020). Requirements for employing artificial intelligence applications in teaching Saudi university students from the perspective of experts. Journal of the Faculty of Education, 20(2), 27–92. http://search.mandumah.com/Record/1066149
Al-Ghamdi, A. R. K. M, & Bakhit, S. A. A. (2023). Improving the quality of education in the Kingdom of Saudi Arabia using artificial intelligence applications. Arab Studies in Education and Psychology, 148(2), 86–101. https://doi.org/10.21608/saep.2023.322559
Al-Harbi, M, & Al-Mutairi, T. (2023). Moving towards indicators of the absence of learning disabilities in the use of tablets in teaching and its relationship to their educational technical competencies. The Arab Journal of Physics and Giftedness, 7(27), 335–390. https://doi.org/ 10.21608/jasht.2023.306819
Al-Khaibari, S. M. O. (2020). The degree to which secondary school female teachers in Al-Kharj Governorate possess skills for employing artificial intelligence in education. Arab Studies in Education and Psychology, (119), 119–152. http://search.mandumah.com/Record/1037602
Al-Malki, A. B. S. F., & Al-Hawrani, A. K. (2023). Reality of the educational services provided for students with learning disabilities via educational platforms from teachers’ viewpoints at the primary stage in Jeddah. Journal of Educational and Qualitative Research, 18(18), 1–47. https://doi.org/10.21608/jeor.2023.301030
Al-Oufi, H. B. H. B., & Al-Ruhailli, T. B. A. F. (2021). The feasibility of employing artificial intelligence applications to develop creative abilities in teaching mathematics at the secondary school level from female teachers’ perspectives in Madinah. Arab Journal of Qualitative Education, 5(20), 157–202. http://search.mandumah.com/Record/1183008
Al-Qahtani, K. N. (2023). A post-analysis of the impact of e-learning platforms on achieving some learning outcomes in Arab countries. Mansoura Faculty of Education Journal, 121(1), 510–541. https://doi.org/10.21608/maed.2023.292749
Al-Rubaian, A. A., & Al-Khatib, N. (2017). School principals’ perspectives on the skills needed by special education teachers in teaching students with LDs. Saudi Journal of Special Education, 3(1), 187–198. http://search.mandumah.com/Record/872870
Al-Samadi, A. S., & Al-Samadi, M. S. A. (2022). Perceived self-efficacy among resource rooms and its relationship to the possession of effective teaching skills from their point of view. Journal of the Arab Open University for Research - Educational and Psychological Research Series, 7(2), 119–138. http://search.mandumah.com/Record/1322288
Al-Shahri, B. A. A. D. (2023). Teachers’ attitudes toward employing artificial intelligence applications to address learning difficulties in the Asir region, Saudi Arabia. Journal of Reading and Knowledge, 23(261), 95–134. http://search.mandumah.com/Record/1415336
Al-Shami, G. S. M. (2024). Artificial intelligence techniques in digital education design and delivery methods. National eLearning Center. https://nelc.gov.sa/node/2981
Alsudairy, N. A., & Eltantawy, M. M. (2024). Special education teachers’ perceptions of using artificial intelligence in educating students with disabilities. Journal of Intellectual Disability - Diagnosis and Treatment, 12(2), 92–102. https://doi.org/10.6000/2292-2598.2024.12.02.5
Bandura, A. (1977). Self-efficacy: Toward a unifying theory of behavioural change. Psychological Review, 84, 191–215. https://doi.org/10.1016/0146-6402(78)90002-4
Bani Melhem, F. Z. A. (2020). Special education teachers’ attitudes towards using tablets for teaching disabled students in Jordanian schools (An empirical study). Journal of Arts, Literature, Humanities and Social Sciences, (60), 231–244. https://doi.org/10.33193/JALHSS.60.2020.316
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 Personalized Assistive Tools to Enhance Education of Children with Neurodevelopmental Disorders—A Review. International Journal of Environmental Research and Public Health, 19(3), 1192. https://doi.org/10.3390/ijerph19031192
Bergdahl, N., & Sjöberg, J. (2025). Attitudes, perceptions and AI self-efficacy in K-12 education. Computers and Education: Artificial Intelligence, 8, Article 100358. https://doi.org/10.1016/j.caeai.2024.100358
Bii P. K., Too, J. K., & Mukwa, C. W. (2018). Teacher Attitude towards Use of Chatbots in Routine Teaching. Universal Journal of Educational Research, 6(7), 1586–1597. https://doi.org/10.13189/ujer.2018.060719
Celik, I. (2022). Towards Intelligent-TPACK: An empirical study on teachers’ professional knowledge to ethically integrate artificial intelligence (AI)-based tools into education. Computers in Human Behavior, 138, Article 107468. https://doi.org/10.1016/j.chb.2022.107468
Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16, 297–334. https://doi.org/10.1007/BF02310555
Doran, R. L. (1980). Basic measurement and evaluation of science instruction. National Science Teachers Association.
Bobro, N. (2024).Preimushchestva i nedostatki vnedreniya iskusstvennogo intellekta v obrazovatel’nyi protsess [Advantages and disadvantages of implementing artificial intelligence in the educational process]. Molodyi vchenyi, 4(128), 72–76. https://doi.org/10.32839/2304-5809/2024-4-128-38
Education & Training Evaluation Commission. (2020). Standards for learning disabilities teachers. https://etec.gov.sa/ar/service/ProfessionalLicensing/servicedocuments
Garg, S., & Sharma, S. (2020). Impact of artificial intelligence in special needs 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
Galindo-Domínguez, H., Delgado, N., Campo, L., & Losada, D. (2024). Relationship between teachers’ digital competence and attitudes towards artificial intelligence in education. International Journal of Educational Research, 126, Article 102381. https://doi.org/10.1016/j.ijer.2024.102381
Haseski, H. I. (2019). What do Turkish pre-service teachers think about artificial intelligence? International Journal of Computer Science Education in Schools, 3(2), 3–23. https://doi.org/10.21585/ijcses.v3i2.55
Hinkle, D. E., Wiersma, W., & Jurs, S. G. (2003). Applied statistics for the behavioral sciences. Houghton Mifflin.
Hopcan, S., Polat, E., Ozturk, M. E., & Ozturk, L. (2023). Artificial intelligence in special education: a systematic review. Interactive Learning Environments, 31(10), 7335–7353. https://doi.org/10.1080/10494820.2022.2067186
Hopkins, W. G. (2002). A scale of magnitudes for effect statistics: A new view of statistics. http://www.sportsci.org/resource/stats/effectmag.html
Jenji?, S., Stankovi?-Jankovi?, T., & Kevi? Zrni?, S. (2025, January). Socio-pedagogical characteristics of teachers and their attitudes toward the use of artificial intelligence in the educational process. In Proceedings of the 1st International Scientific Conference Education and Artificial Intelligence (pp. 61–67). https://doi.org/10.46793/EDAI24.061J
Karim, M. R., Masud, N. A., Subarna, M. T. N., Billah, M. M., & Wienaah, P. (2021). Self-efficacy: A key component of teacher effectiveness. Asian Journal of Education and Social Studies, 25(1), 24–34. https://doi.org/10.9734/ajess/2021/v25i130590
Kempf-Leonard, K. (Ed.). (2005). Encyclopedia of social measurement (Vol. 1). Elsevier Science.
Lim, E. M. (2023). The effects of pre-service early childhood teachers’ digital literacy and self-efficacy on their perception of AI education for young children. Education and Information Technologies, 28, 12969–12995 . https://doi.org/10.1007/s10639-023-11724-6
Liu, X., & Wachira, P. (2022). Technology-supported interventions for students with special needs in the 21st century. IGI Global. https://doi.org/10.4018/978-1-7998-8874-1
Lord, F.M., Novick, M.R., & Birnbaum, A. (1968). Statistical theories of mental test scores. Addison-Wesley.
Mahmoud, A. R. M. (2020). Artificial intelligence applications: An approach to developing education in light of the challenges of the COVID-19 pandemic. The International Journal of Research in Educational Sciences, 3(4), 171–224. https://search.shamaa.org
Mansour, A. A. K. (2021). Artificial intelligence between reality, truth, and fiction in the educational process. Journal of Reading and Knowledge, 21(235), 15–48. http://search.mandumah.com/Record/1146796
Marino, M. T., Vasquez, E., Dieker, L., Basham, J., & Blackorby, J. (2023).The future of artificial intelligence in special education technology. Journal of Special Education Technology, 38(3), 404–416. https://doi.org/10.1177/01626434231165977
Ministry of Communications and Information Technology. (2024). Augmented reality. https://www.mcit.gov.sa/node/12
Mustafa, ?. (2024). Examining teachers' views on the use of Artificial Intelligence (AI) in education. i-manager's Journal of Educational Technology, 20(4). https://doi.org/10.26634/jet.20.4.20237
National Center for E-Learning. (2024). National eLearning Center. https://nelc.gov.sa/en
Rice, M. F., & Dunn, S. (2023). The use of artificial intelligence with students with identified disabilities: A systematic review with critique. Computers in the Schools, 40(4), 370–390. https://doi.org/10.1080/07380569.2023.2244935
Trochim, W. M. K., & Donnelly, J. P. (2007). The research methods knowledge base. Thomson.
Tzivinikou, S. (2015). The impact of an in-service training program on the self-efficacy of special and general education teachers. Problems of Education in the 21st Century, 64(1), 95–107. https://doi.org/10.33225/pec/15.64.95
UNESCO. (2023). Guidance for generative AI in education and research. United Nations Educational, Scientific and Cultural Organization. https://www.unesco.org/en/articles/guidance-generative-ai-education-and-research United Nations Educational, Scientific and Cultural Organization. (2019). Beijing consensus on artificial intelligence and education. https://unesdoc.unesco.org/ark:/48223/pf0000368303/PDF/368303qaa.pdf.multi
Walter, Y. (2024). Embracing the future of artificial intelligence in the classroom: the relevance of AI literacy, prompt engineering, and critical thinking in modern education. International Journal of Educational Technology in Higher Education, 21(1), 15. https://doi.org/10.1186/s41239-024-00448-3
Wang, Y. Y., & Chuang, Y. W. (2024). Artificial intelligence self-efficacy: Scale development and validation. Education and Information Technologies, 29(4), 4785–4808. https://doi.org/10.1007/s10639-023-12015-w
Wolf, L., Haddock, G., & Maio, G. (2020, June 30). Attitudes. In Oxford Research Encyclopedia of Psychology. Retrieved 15 Jan. 2026, from https://oxfordre.com/psychology/view/10.1093/acrefore/9780190236557.001.0001/acrefore-9780190236557-e-247.
Yang, H. (2024). Multidimensional analysis of art education teachers’ attitudes and self-efficacy toward artificial intelligence: exploring relationships and strategies for enhancement. Interactive Learning Environments, 1–24. https://doi.org/10.1080/10494820.2024.2423175
Zhang, M., Tang, E., Ding, H., & Zhang, Y. (2024). AI in communication sciences and disorders (Dataset). ASHA Journals. https://doi.org/10.23641/asha.27162564.v1
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