Araştırma Makalesi
BibTex RIS Kaynak Göster

Özel Eğitimde Yapay Zekâ: Öğretmenlerin Algılarına Yansıyan Metaforlar

Yıl 2025, Sayı: 1, 73 - 87, 29.12.2025
https://doi.org/10.5281/zenodo.18086264

Öz

Bu araştırmanın amacı, özel eğitim öğretmenlerinin özel eğitim müdahalelerinde bir araç olarak yapay zekâ (YZ) kullanımına ilişkin algılarını incelemektir. Araştırma, nitel araştırma yaklaşımlarından fenomenolojik desen kullanılarak yürütülmüştür. Veriler, öğretmenlere ait demografik bilgilerin yer aldığı bir form ve “Yapay zekâ özel eğitimde bir araç olsaydı, onu ……ya/ye benzetirdim; çünkü ……” ifadesini içeren açık uçlu bir cümle aracılığıyla toplanmıştır. Çalışmaya 46 özel eğitim öğretmeni katılmıştır. Öğretmenler, bu ifadeyi kendi metaforlarını oluşturarak tamamlamıştır. Verilerin analizinde içerik analizi yöntemi kullanılmıştır. Analiz sürecinde veriler kodlanmış, temalar ve kategoriler oluşturulmuş; geçerlik ve güvenirlik çalışmaları gerçekleştirilmiştir. Analiz sonucunda toplam 46 metafor belirlenmiş ve bu metaforlar yedi kategori altında toplanmıştır. Bulgular, öğretmenlerin yapay zekâya ilişkin metaforlarının insan zekâsını taklit etme, zengin bir veri kaynağı olma, bireyselleştirme ve uyarlama kolaylığı sağlama, teknoloji ve işlevsellik, gelecek ve yenilik ile gizemli ve keşfe açık olma gibi temalar etrafında yoğunlaştığını göstermektedir. Araştırma sonuçları, yapay zekânın özel eğitimde kullanımının hem avantajlar hem de sınırlılıklar içerdiğini ortaya koymaktadır. Öğretmenler yapay zekâyı öğretimi destekleyen ve uyarlamayı kolaylaştıran önemli bir araç olarak değerlendirmektedir. Bununla birlikte, yapay zekânın eğitimde insan etkileşiminin ve öğretmenin rolünün yerini alamayacağı vurgulanmaktadır. Bu bağlamda, öğretmenlerin yapay zekâdan elde edilen verileri öğrencilerin duygusal ve sosyal gereksinimlerini dikkate alarak yorumlamaları önem taşımaktadır. Araştırma, özel eğitim alanında yapay zekâ kullanımına yönelik yapılacak yeni çalışmalara ışık tutması açısından önemlidir.

Kaynakça

  • Arslan, E. (2022). Nitel araştırmalarda geçerlilik ve güvenilirlik. Pamukkale Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, (51), 395-407.https://doi.org/10.30794/pausbed.1116878
  • Abid, M., Ben-Salha, O., Gasmi, K., & Alnor, N. H. A. (2024). Modeling for disability: How does artificial intelligence affect unemployment among people with disability? An empirical analysis of linear and nonlinear effects. Research in Developmental Disabilities, 149, https://doi.org/10.1016/j.ridd.2024.104732
  • Akgun, S., & Greenhow, C. (2022). Artificial intelligence in education: Addressing ethical challenges in K-12 settings. AI and Ethics, 2(3), 431–440. https://doi.org/10.1007/s43681-021-00096-7
  • Almufareh, M. F., Tehsin, S., Humayun, M., & Kausar, S. (2023). Intellectual disability and technology: an artificial intelligence perspective and framework. Journal of Disability Research, 2(4), 58–70. Doi: 10.57197/JDR-2023-0055
  • 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, 92–102.
  • Anagnostopoulou, P., Alexandropoulou, V., Lorenzo, G., Lykothanasi, A., Ntaountaki, P., & Drigas, A. (2020). Artificial intelligence in autism assessment. International Journal of Emerging Technologies in Learning (IJET), 15(6), 95–107.
  • Bhatti, I., Mohi-U-din, S. F., Hayat, Y., & Tariq, M. (2024). Artificial intelligence applications for students with learning disabilities: A systematic review. European Journal of Science, Innovation and Technology, 4(2), 40–56.
  • Chen, X., Xie, H., Zou, D., & Hwang, G. J. (2020). Application and theory gaps during the rise of artificial intelligence in education. Computers and Education: Artificial Intelligence, 1(2020), https://doi.org/10.1016/j.caeai.2020.100002
  • Cook, B. G., & Schirmer, B. R. (2003). What is unique about special education? Overview and analysis. The Journal of Special Education, 37(3), 200–205. https://doi.org/10.1177/00224669030370031001
  • Ghaffar Nia, N., Kaplanoglu, E., & Nasab, A. (2023). Evaluation of artificial intelligence techniques in disease diagnosis and prediction. Discover Artificial Intelligence, 3(1), 5. https://doi.org/10.1007/s44163-023-00049-5
  • Habib, H., Jelani, S. A. K., & Rasheed, N. T. (2021). Tailored education: AI in developing individualized education programs (IEPs). Multidisciplinary Science Journal, 1(01), 8–18. Accessed on: https://www.neliti.com/publications/590981/tailored-education-ai-in-the-development-of-individualized-education-programs-ie
  • Harkins-Brown, A. R., Carling, L. Z., & Peloff, D. C. (2025). Artificial Intelligence in Special Education. Encyclopedia, 5(1), 11–20. https://doi.org/10.3390/encyclopedia5010011
  • 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
  • Huang, J., Saleh, S., & Liu, Y. (2021). A review on artificial intelligence in education. Academic Journal of Interdisciplinary Studies, 10(3).206-217 https://creativecommons.org/licenses/by-nc/4.0/
  • Huang, L. (2023). Ethics of artificial intelligence in education: Student privacy and data protection. Science Insights Education Frontiers, 16(2), 2577–2587. https://doi.org/10.15354/sief.23.re202
  • Jaiswal, A., & Arun, C. J. (2021). The potential of Artificial Intelligence for transformation of the education system in India. International Journal of Education and Development using Information and Communication Technology, 17(1), 142–158.
  • Kaelin, V. C., Valizadeh, M., Salgado, Z., Parde, N., & Khetani, M. A. (2021). Artificial intelligence in rehabilitation targeting the participation of children and youth with disabilities: a scoping review. Journal of Medical Internet Research, 23(11), doi:10.2196/25745
  • Kharbat, F. F., Alshawabkeh, A., & Woolsey, M. L. (2021). Identifying gaps in using artificial intelligence to support students with intellectual disabilities from education and health perspectives. Aslib Journal of Information Management, 73(1), 101–128. https://doi.org/10.1108/AJIM-02-2020-0054
  • Khazanchi, R., & Khazanchi, P. (2024). Generative AI to improve special education teacher preparation for inclusive classrooms. (M. Searson, E. Langran, J. Trumble) In Exploring New Horizons: Generative Artificial Intelligence and Teacher Education, p. 159–177, AACE - Association for the Advancement of Computing in Education.
  • 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
  • Miles, M. B. (1994). Qualitative data analysis: An expanded sourcebook. Thousand Oaks.
  • Nguyen, A., Ngo, H. N., Hong, Y., Dang, B., & Nguyen, B. P. T. (2023). Ethical principles for artificial intelligence in education. Education and Information Technologies, 28(4), 4221–4241. https://doi.org/10.1007/s10639-022-11316-w
  • Reichow, B. (2011). Development, procedures, and application of the evaluative method for determining evidence-based practices in autism. Evidence-Based Practices and Treatments for Children with Autism, 25–39. https://doi.org/10.1007/978-1-4419-6975-0_2
  • Roll, I., & Wylie, R. (2016). Evolution and revolution in artificial intelligence in education. International Journal of Artificial Intelligence in Education, 26, 582–599. https://doi.org/10.1007/s40593-016-0110-3
  • Smith, S. J., Rowland, A., Goldman, S., & Carreon, A. (2024). A guide for special education leaders to utilize artificial intelligence: Students' perspectives for future consideration. Journal of Special Education Leadership, 37(2), 77–92.
  • Şen, N., & Akbay, T. (2023). Artificial intelligence and innovative applications in special education. Instructional Technology and Lifelong Learning, 4(2), 176-199. https://doi.org/10.52911/itall.1297978
  • Yang, Y., Chen, L., He, W., Sun, D., & Salas-Pilco, S. Z. (2024). Artificial Intelligence for enhancing Special Education for K-12: A decade of trends, themes, and global insights (2013–2023). International Journal of Artificial Intelligence in Education, 1–49. https://doi.org/10.1007/s40593-024-00422-0
  • Yıldırım, A., & Şimşek, H. (2008). Sosyal bilimlerde nitel araştırma yöntemleri. Seçkin Yayıncılık.

Artificial Intelligence in Special Education: Metaphors Reflected in Teachers' Perceptions

Yıl 2025, Sayı: 1, 73 - 87, 29.12.2025
https://doi.org/10.5281/zenodo.18086264

Öz

To explore special education teachers' perceptions of using artificial intelligence (AI) as a tool in special education interventions. A phenomenological design and a qualitative research approach were employed in the study. Data were collected through a form that included demographic information about the teachers and the following statement: “If AI were a tool in special education, I would liken it to ...... because...” Forty-seven 46 special education teachers participated. The teachers filled in the blanks and completed the sentence appropriately. Content analysis was used to analyze the data. During analysis, the data were extracted, coded, and categorized, and the validity and reliability were assessed and interpreted. 46 metaphors were identified and classified into seven groups. The findings indicated that teachers' metaphors fell into categories such as imitating human intelligence, a rich source of data, ease of individualization and adaptation, technology and functionality, future and innovation, and mysterious and open to exploration. The study recommends further research on the use of artificial intelligence in special education. The results demonstrate that using AI in special education has both advantages and disadvantages. Teachers can view AI as an essential tool to enhance and adapt instruction. However, it is crucial to remember that AI does not replace the human touch in education. Teachers need to interpret data gathered from AI within the context of their students' emotional and social needs.

Kaynakça

  • Arslan, E. (2022). Nitel araştırmalarda geçerlilik ve güvenilirlik. Pamukkale Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, (51), 395-407.https://doi.org/10.30794/pausbed.1116878
  • Abid, M., Ben-Salha, O., Gasmi, K., & Alnor, N. H. A. (2024). Modeling for disability: How does artificial intelligence affect unemployment among people with disability? An empirical analysis of linear and nonlinear effects. Research in Developmental Disabilities, 149, https://doi.org/10.1016/j.ridd.2024.104732
  • Akgun, S., & Greenhow, C. (2022). Artificial intelligence in education: Addressing ethical challenges in K-12 settings. AI and Ethics, 2(3), 431–440. https://doi.org/10.1007/s43681-021-00096-7
  • Almufareh, M. F., Tehsin, S., Humayun, M., & Kausar, S. (2023). Intellectual disability and technology: an artificial intelligence perspective and framework. Journal of Disability Research, 2(4), 58–70. Doi: 10.57197/JDR-2023-0055
  • 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, 92–102.
  • Anagnostopoulou, P., Alexandropoulou, V., Lorenzo, G., Lykothanasi, A., Ntaountaki, P., & Drigas, A. (2020). Artificial intelligence in autism assessment. International Journal of Emerging Technologies in Learning (IJET), 15(6), 95–107.
  • Bhatti, I., Mohi-U-din, S. F., Hayat, Y., & Tariq, M. (2024). Artificial intelligence applications for students with learning disabilities: A systematic review. European Journal of Science, Innovation and Technology, 4(2), 40–56.
  • Chen, X., Xie, H., Zou, D., & Hwang, G. J. (2020). Application and theory gaps during the rise of artificial intelligence in education. Computers and Education: Artificial Intelligence, 1(2020), https://doi.org/10.1016/j.caeai.2020.100002
  • Cook, B. G., & Schirmer, B. R. (2003). What is unique about special education? Overview and analysis. The Journal of Special Education, 37(3), 200–205. https://doi.org/10.1177/00224669030370031001
  • Ghaffar Nia, N., Kaplanoglu, E., & Nasab, A. (2023). Evaluation of artificial intelligence techniques in disease diagnosis and prediction. Discover Artificial Intelligence, 3(1), 5. https://doi.org/10.1007/s44163-023-00049-5
  • Habib, H., Jelani, S. A. K., & Rasheed, N. T. (2021). Tailored education: AI in developing individualized education programs (IEPs). Multidisciplinary Science Journal, 1(01), 8–18. Accessed on: https://www.neliti.com/publications/590981/tailored-education-ai-in-the-development-of-individualized-education-programs-ie
  • Harkins-Brown, A. R., Carling, L. Z., & Peloff, D. C. (2025). Artificial Intelligence in Special Education. Encyclopedia, 5(1), 11–20. https://doi.org/10.3390/encyclopedia5010011
  • 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
  • Huang, J., Saleh, S., & Liu, Y. (2021). A review on artificial intelligence in education. Academic Journal of Interdisciplinary Studies, 10(3).206-217 https://creativecommons.org/licenses/by-nc/4.0/
  • Huang, L. (2023). Ethics of artificial intelligence in education: Student privacy and data protection. Science Insights Education Frontiers, 16(2), 2577–2587. https://doi.org/10.15354/sief.23.re202
  • Jaiswal, A., & Arun, C. J. (2021). The potential of Artificial Intelligence for transformation of the education system in India. International Journal of Education and Development using Information and Communication Technology, 17(1), 142–158.
  • Kaelin, V. C., Valizadeh, M., Salgado, Z., Parde, N., & Khetani, M. A. (2021). Artificial intelligence in rehabilitation targeting the participation of children and youth with disabilities: a scoping review. Journal of Medical Internet Research, 23(11), doi:10.2196/25745
  • Kharbat, F. F., Alshawabkeh, A., & Woolsey, M. L. (2021). Identifying gaps in using artificial intelligence to support students with intellectual disabilities from education and health perspectives. Aslib Journal of Information Management, 73(1), 101–128. https://doi.org/10.1108/AJIM-02-2020-0054
  • Khazanchi, R., & Khazanchi, P. (2024). Generative AI to improve special education teacher preparation for inclusive classrooms. (M. Searson, E. Langran, J. Trumble) In Exploring New Horizons: Generative Artificial Intelligence and Teacher Education, p. 159–177, AACE - Association for the Advancement of Computing in Education.
  • 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
  • Miles, M. B. (1994). Qualitative data analysis: An expanded sourcebook. Thousand Oaks.
  • Nguyen, A., Ngo, H. N., Hong, Y., Dang, B., & Nguyen, B. P. T. (2023). Ethical principles for artificial intelligence in education. Education and Information Technologies, 28(4), 4221–4241. https://doi.org/10.1007/s10639-022-11316-w
  • Reichow, B. (2011). Development, procedures, and application of the evaluative method for determining evidence-based practices in autism. Evidence-Based Practices and Treatments for Children with Autism, 25–39. https://doi.org/10.1007/978-1-4419-6975-0_2
  • Roll, I., & Wylie, R. (2016). Evolution and revolution in artificial intelligence in education. International Journal of Artificial Intelligence in Education, 26, 582–599. https://doi.org/10.1007/s40593-016-0110-3
  • Smith, S. J., Rowland, A., Goldman, S., & Carreon, A. (2024). A guide for special education leaders to utilize artificial intelligence: Students' perspectives for future consideration. Journal of Special Education Leadership, 37(2), 77–92.
  • Şen, N., & Akbay, T. (2023). Artificial intelligence and innovative applications in special education. Instructional Technology and Lifelong Learning, 4(2), 176-199. https://doi.org/10.52911/itall.1297978
  • Yang, Y., Chen, L., He, W., Sun, D., & Salas-Pilco, S. Z. (2024). Artificial Intelligence for enhancing Special Education for K-12: A decade of trends, themes, and global insights (2013–2023). International Journal of Artificial Intelligence in Education, 1–49. https://doi.org/10.1007/s40593-024-00422-0
  • Yıldırım, A., & Şimşek, H. (2008). Sosyal bilimlerde nitel araştırma yöntemleri. Seçkin Yayıncılık.
Toplam 28 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Özel Eğitim ve Engelli Eğitimi (Diğer)
Bölüm Araştırma Makalesi
Yazarlar

Murat Elci

Esra Orum Çattık

Gönderilme Tarihi 27 Kasım 2025
Kabul Tarihi 9 Aralık 2025
Yayımlanma Tarihi 29 Aralık 2025
Yayımlandığı Sayı Yıl 2025 Sayı: 1

Kaynak Göster

APA Elci, M., & Orum Çattık, E. (2025). Artificial Intelligence in Special Education: Metaphors Reflected in Teachers’ Perceptions. Anadolu Journal of Research in Developmental Disabilities(1), 73-87. https://doi.org/10.5281/zenodo.18086264

AJRIDD