Special education teacher candidates’ experiences and views regarding artificial intelligence use

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https://doi.org/10.29329/pedper.2026.167

The growing integration of AI in educational environments underscores the need to equip future educators to use AI ethically and pedagogically. This necessity is particularly evident in special education, where personalized instruction, professional expertise, and ethical awareness are essential. This qualitative study utilized a phenomenological research approach to document participants’ lived experiences. Data were gathered through semi-structured interviews with eight pre-service special education teachers who were actively engaged in school-based experiences throughout the inquiry. All interviews were transcribed verbatim and subjected to content analysis, facilitating the systematic identification of themes and subthemes. The study produced ten primary themes and twenty-five secondary themes. Results suggest that participants predominantly viewed AI as a pragmatic and beneficial resource, especially for time efficiency, the creation of instructional materials, and the accommodation of diverse learner needs. Artificial intelligence was perceived as possessing significant potential to enhance personalized learning and instructional planning within special education settings. Participants reported a lack of formal instruction in AI within their teacher education programs, stating that their understanding was largely derived from self-directed inquiry. Ethical concerns, particularly regarding data privacy, the accuracy of AI-generated information, and professional accountability, emerged as a significant subject. Participants underscored that AI should be viewed as a supplementary tool rather than a replacement for educators’ professional competence and interpersonal engagement. The findings underscore the imperative of integrating structured AI literacy, ethical awareness, and practical applications into special education teacher training programs to facilitate responsible and effective AI use.

Agmaz, R. F., & Erguleç, F. (2024). Öğretmen adaylarının eğitimde yapay zeka algıları: Bir metafor analizi [Pre-service teachers' perceptions of artificial intelligence in education: A metaphor analysis]. Necmettin Erbakan Üniversitesi Ereğli Eğitim Fakültesi Dergisi, 6(2), 589–605. https://doi.org/10.51119/ereegf.2024.97

Almarzouq, N. S., Almedlij, M. A., & Alshahrani, H. (2025). Special education teachers' perspectives on the use of artificial intelligence applications in teaching students with disabilities. Educational Process International Journal, 17(1), 407. https://doi.org/10.22521/edupij.2025.17.407

Arundel, K. (2025). Heightened AI use in special education brings elevated risks. K-12 Dive. https://www.k12dive.com/

Azizoglu, B., & Çakır, R. (2025). Özel eğitim öğretmenlerinin BİT tutumları, dijital materyal tasarımı yeterlikleri ve üretken yapay zekâ okuryazarlıklarının incelenmesi [Examining special education teachers' ICT attitudes, digital material design competencies and generative AI literacy]. Necmettin Erbakan Üniversitesi Ereğli Eğitim Fakültesi Dergisi, 7(1), 231–257. https://doi.org/10.51119/ereegf.2025.129

Büyüköztürk, Ş., Kılıç-Çakmak, E., Akgün, Ö. E., Karadeniz, Ş., & Demirel, F. (2018). Bilimsel araştırma yöntemleri [Scientific research methods]. Pegem Akademi.

Çay, E., Yıkmış, A., & Sola Özgüç, C. (2020). Özel eğitimde teknoloji kullanımına ilişkin özel eğitim öğretmenlerinin deneyim ve görüşleri [Experiences and views of special education teachers on technology use in special education]. Journal of Qualitative Research in Education, 8(2), 1–20. https://doi.org/10.14689/issn.2148-624.1.8c.2s.9m

Çelik, T. (2025). Examination of pre-service teachers' use of artificial intelligence. Adıyaman Üniversitesi Eğitim Bilimleri Dergisi, 15(2), 672–713. https://doi.org/10.17984/adyuebd.1754343

Eriçok, B., Kartaş, F., & Yüce, E. (2024). Öğretmen adaylarının yapay zekaya (YZ) ilişkin metafor algıları [Pre-service teachers' metaphor perceptions regarding artificial intelligence (AI)]. Kocaeli Üniversitesi Eğitim Dergisi, 7(2), 607–630. https://doi.org/10.33400/kuje.1511500

Goldman, S. R., Smith, S. J., & Carreon, A. (2025). Special education teachers' use of AI to support students with disabilities in writing. Frontiers in Education, 10, 1710974. https://doi.org/10.3389/feduc.2025.1710974

Hocaoğlu, A. Y. (2025). Özel eğitim öğretmenlerinin yapay zeka farkındalık düzeylerinin incelenmesi [Examining the artificial intelligence awareness levels of special education teachers]. Journal of Individual Differences in Education, 7(1), 1–16. https://doi.org/10.47156/jide.1638417

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

Kaczorowski, T., Stockman, A., Hashey, A., & Kaczorowski, J. (2024). Early adopters: Navigating AI integration in special education teacher preparation. Journal of Special Education Preparation, 4(2), 18–29. https://doi.org/10.33043/9ca46254

Kallio, H., Pietilä, A., Johnson, M., & Kangasniemi, M. (2016). Systematic methodological review: Developing a framework for a qualitative semi-structured interview guide. Journal of Advanced Nursing, 72(12), 2954–2965. https://doi.org/10.1111/jan.13031

Kooli, C., & Chakraoui, R. (2025). AI-driven assistive technologies in inclusive education: Benefits, challenges, and policy recommendations. Sustainable Futures, 10, 101042. https://doi.org/10.1016/j.sftr.2025.101042

Kuzu, S. (2025). Artificial intelligence in pre-service teacher education: Bibliometrics analysis. Pedagogical Research, 10(4), em0249. https://doi.org/10.29333/pr/17402

Meylani, R. (2024). Artificial intelligence in the education of teachers: A qualitative synthesis of the cutting-edge research literature. Journal of Computer and Education Research, 12(24), 600–637. https://doi.org/10.18009/jcer.1477709

Miles, M. B., & Huberman, A. M. (1994). Qualitative data analysis: An expanded sourcebook (2nd ed.). Sage.

Ministry of National Education [MoNE]. (2025). Artificial intelligence in education strategy and action plan (2025–2029). Republic of Türkiye. https://yegitek.meb.gov.tr/meb_iys_dosyalar/2025_06/17092340_egitimdeyapayzekapolitikabelgesiveeylemplani202520291.pdf

OECD. (2025). Leveraging artificial intelligence to support students with special education needs. OECD Publishing. https://www.oecd.org/en/publications/serials/oecd-artificial-intelligence-papers_74018992.html

Ozturk, H., Aksoy, S., Ozer, S., Gurses, I., & Sani-Bozkurt, S. (2025). Investigation of special education pre-service teachers' opinions and experiences regarding artificial intelligence technology. In Proceedings of the EDULEARN25 Conference (pp. 3451). IATED. https://doi.org/10.21125/edulearn.2025.0912

Rakap, S. (2024). Navigating the role of artificial intelligence in special education: Advantages, disadvantages, and ethical considerations. Practice, 6(2–3), 99–104. https://doi.org/10.1080/25783858.2024.2411948

Sümer-Dodur, H. M. (2025). Special education pre-service teachers' conscientiousness and their attitudes towards artificial intelligence: The mediating role of AI literacy and AI anxiety. European Journal of Education, 60(4), e70276. https://doi.org/10.1111/ejed.70276

UNESCO. (2025a). AI and education: Protecting the rights of learners. https://doi.org/10.54675/roqh4287

UNESCO. (2025b). AI and the future of education: Disruptions, dilemmas and directions. https://doi.org/10.54675/keck1261

Vellonen, V., Sointu, E., Valtonen, T., & Tukiainen, M. (2025). Pre-service special education teachers' perceptions of applying technologies in education. Journal of Special Education Technology, 40(4), 505–518. https://doi.org/10.1177/01626434251314044

Vosoughmatin, M. (2025). Investigation of digital competencies and artificial intelligence literacy of special education students. International Journal of Modern Education Studies, 9(2). https://doi.org/10.51383/ijonmes.2025.430

Wang, S., Wang, F., Zhu, Z., Wang, J., Tran, T., & Du, Z. (2024). Artificial intelligence in education: A systematic literature review. Expert Systems with Applications, 252, 124167. https://doi.org/10.1016/j.eswa.2024.124167

Yao, N., & Wang, Q. (2024). Factors influencing pre-service special education teachers' intention toward AI in education: Digital literacy, teacher self-efficacy, perceived ease of use, and perceived usefulness. Heliyon, 10(14), e34894. https://doi.org/10.1016/j.heliyon.2024.e34894

Yaşar, B., & Vuran, S. (2025). Özel eğitim öğretmenlerinin yapay zekâ destekli Web 2.0 araçlarını kullanım durumları [Usage status of AI-supported Web 2.0 tools by special education teachers]. Mehmet Akif Ersoy Üniversitesi Eğitim Fakültesi Dergisi, 75, 306–325. https://doi.org/10.21764/maeuefd.1631818

Yıldırım, A., & Şimşek, H. (2013). Sosyal bilimlerde nitel araştırma yöntemleri [Qualitative research methods in social sciences]. Seçkin.

There are 30 references in total.
Başaran, Y. İrşad, & Özer, E. (2026). Special education teacher candidates’ experiences and views regarding artificial intelligence use (M. Şat, Trans.). Pedagogical Perspective, 5(1), 224-236. https://doi.org/10.29329/pedper.2026.167

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