Araştırma Makalesi
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Yıl 2025, Cilt: 9 Sayı: 34, 231 - 252, 01.01.2026
https://doi.org/10.31455/asya.1780145
https://izlik.org/JA74RJ22GL

Öz

Kaynakça

  • Akdeniz, E. T., Öztürk, E. & Tiktaş Çelik, S. (2025). Sosyal hizmette yapay zekâ uygulamaları: olanaklar, sınırlılıklar ve etik tartışmalar. In 12th International Paris Congress on Social Sciences & Humanities (pp. 304–320). Liberty Academic Publishers.
  • AI, S. (2025). Microsoft seeing AI. https:/ /www.microsoft.com/en-us/ga¬rage/wall-of-fame/seeing-ai/ (Erişim Tarihi: 18.06.2025).
  • Akyüz, K. F. & Köroğlu, C. Z. (2024). Engellilik bağlamında makro sosyal hizmet ve sivil toplum kuruluşları üzerine bir değerlendirme. Journal of Social, Humanities and Administrative Sciences, 10(2), 247-259.
  • 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.
  • Alptekin, K. (2016). Başlangıçtan bugüne ve yarına: Türkiye'de sosyal hizmet eğitimi. Ankara: Nobel Akademik Yayıncılık.
  • Asıl, S. (2025). Yapay zekâ etiği: temel ilkeler, sorunlar ve disiplinlerarası yaklaşımlar. İNİF E- Dergi, 10(1), 152-175.
  • Ava: Live Captioning App for the Deaf and Hard-of-Hearing. (2025). Ava. https://www.ava.me/ (Erişim Tarihi: 18.06.2025).
  • Aydın, A. & Müftüoğlu, Z. (2021). Ulusal yapay zekâ stratejisi ile ülkemiz yeni bir atılım başlatmıştır. TRT Akademi Analiz/Değerlendirme, 6(13), 889–895.
  • Aydin, S., Akpinar Aslan, E. & Batmaz, S. (2025). Physically disabled individuals’ coping styles and resilience by disability type and onset. Turkish Journal of Clinical Psychiatry, 0(28), 105–112. Balling, L. W., Mølgaard, L. L., Townend, O. & Nielsen, J. B. B. (2021). The collaboration between hearing aid users and artificial intelligence to optimize sound. Seminars in Hearing, 42(3), 282–294.
  • Be My Eyes. (2025). Be My Eyes: Helping blind see. App Store. https://apps.apple.com/tr/app/be-my-eyes-helping-blind-see/id905177575 (Erişim Tarihi: 18.06.2025).
  • Bookman, M., Mondelli, F. & Yokoyama, S. (2024). Putting virtual reality to disability activism: Co-creation and intersectional pedagogical usage in Japan. International Journal of Disability and Social Justice, 4(1), 0-0. https://doi.org/10.13169/intljofdissocjus.4.1.0010
  • Bookshare. (2025). Bookshare: Accessible ebooks for people with print disabilities. https://www.bookshare.org/ (Erişim Tarihi: 18.06.2025).
  • Borozancı, İ., Sezer, S., Türe, D., Panış, B. İ., Arıcı, A. & Bolat, G. B. (2021). Pandemi sürecinde fiziksel engelli bireylerin sorun ve beklentileri üzerine nitel bir inceleme. Ufkun Ötesi Bilim Dergisi, 21(2), 269-289.
  • Bravou, V. & Drigas, A. (2022). Applications of virtual reality for autism inclusion: A review. Retos, 0(45), 779–785. https://doi.org/10.47197/retos.v45i0.92078
  • Bulut, S. (2015). Görme engellilere yabancı dil olarak Türkçe öğretimi. Kesit Akademi Dergisi, 1(1), 138-173. http://dx.doi.org/10.18020/kesit.7
  • Bulut, S. & Bulut, G. (2016). usage of three dimensional technology in teaching Turkish language to the people with visually ımpaired. Jass Studies-International Journal of Social Science, 0(46), 319-330. http://dx.doi.org/10.9761/JASSS3445
  • Bulut, S. (2018). İşitme engellilere yabancı dil olarak Türkçe öğretiminde üç boyutlu teknolojilerin yeri. Milli Eğitim Dergisi, 47(218), 21-54. https://dergipark.org.tr/tr/download/article-file/554135
  • Camgoz, N. C., Hadfield, S., Koller, O., Ney, H. & Bowden, R. (2018). Neural sign language translation. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Salt Lake City, Utah, 18–22 June 2018 (pp. 7784–7793).
  • Çakır, Z. & Karaaziz, M. (2024). Otizm spektrum bozukluğunun tedavisinde yapay zekâ destekli uygulamaların etkisi üzerine bir derleme. Sosyal Araştırmalar ve Davranış Bilimleri Dergisi / Journal of Social Research and Behavioral Sciences, 10(22), 418–440. https://doi.org/10.52096/jsrbs.10.22.27
  • Çetintaş, F. (2023). Sosyal Hizmet Uygulamarında yapay zekâ potansiyel, riskler ve etik sorunlar. Jass Studies-The Journal of Academic Social Science Studies, 16(97), 315-322.
  • Demir, Y. E. & Gedik, M. (2022). Engelli kavramı ile ilgili akademik yayınların VOSviewer ile bibliyometrik analizi bibliometric analysis of academic publications on the concept of disabled with VOSviewer. Toplumsal Politika Dergisi / Turkish Journal of Social Policy, 3(1), 12-25.
  • Duyan, V (2014). Sosyal hizmet: temelleri, yaklaşimlari, müdahale yöntemleri. Ankara: Hayat Yayıncılık.
  • Efe, A. (2021). Yapay zekâ risklerinin etik yönünden değerlendirilmesi. Bilgi ve İletişim Teknolojileri Dergisi, 3(1), 1–24.
  • Eken, H. (2024). Zihinsel engelli çocukların sosyal etkileşiminde ebeveynlerin rolü. International Journal of Eurasia Social Sciences (IJOESS), 15(56), 690-705.
  • European Association of Service providers for Persons with Disabilities (EASPD). (2025, May). Unlocking the potential of artificial intelligence (AI) in social services: EASPD’s contribution to the call for evidence on the Apply AI Strategy. Brussels, Belgium: EASPD.
  • Ferebee, S. (2025). AI and accessibility: Breaking barriers for people with disabilities. Premier Journal of Artificial Intelligence, 2, 100012, 1–10. https://doi.org/10.70389/PJAI.100012
  • Frank, M. R., Autor, D., Bessen, J. E., Brynjolfsson, E., Cebrian, M., Deming, D. J., Feldman, M. & Rahwan, I. (2019). Toward understanding the impact of artificial intelligence on labor. Proceedings of the National Academy of Sciences, 116(14), 6531–6539. https://doi.org/10.1073/pnas.1900949116
  • Frey, C. B. & Osborne, M. A. (2015). Technology at work: the future of innovation and employment. Oxford Martin School & Citi GPS.
  • Grey, E., Baber, F., Corbett, E., Ellis, D., Gillison, F. & Barnett, J. (2024). The use of technology to address loneliness and social isolation among older adults: the role of social care providers. BMC Public Health, 24(1), 108. https://doi.org/10.1186/s12889-023-17386-w
  • Gupta, C., Chandrashekar, P., Jin, T., He, C., Khullar, S., Chang, Q. et al. (2022). Bringing machine learning to research on intellectual and developmental disabilities: taking inspiration from neurological diseases. Journal of Neurodevelopmental Disorders, 14(1), 28.
  • Gupta, S. & Chen, Y. (2022). Supporting inclusive learning using chatbots? A chatbot-led interview study. Journal of Information Systems Education, 33(1), 98-108.
  • Gül, G. & Barış, İ. (2023). Özel gereksinimli bireylere yönelik tutumlar: sosyal hizmet öğrencilerinden yansımalar. Uluslararası Sosyal Hizmet Araştırmaları Dergisi, 3(3), 169-178.
  • Hagerty, A. & Rubinov, I. (2019). Global AI ethics: A review of the social impacts and ethical implications of artificial intelligence. arXiv preprint arXiv:1907.07892. https://arxiv.org/abs/1907.07892 (Erişim Tarihi: 05.09.2025).
  • Kalaç, M. Ö. & Kılınç, M. (2023). Eğitim 5.0’a geçişin engelli öğrenciler ve erişilebilirlik açısından etkileri. Üniversite Araştırmaları Dergisi, 6(3), 229–237.
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Yıl 2025, Cilt: 9 Sayı: 34, 231 - 252, 01.01.2026
https://doi.org/10.31455/asya.1780145
https://izlik.org/JA74RJ22GL

Öz

Kaynakça

  • Akdeniz, E. T., Öztürk, E. & Tiktaş Çelik, S. (2025). Sosyal hizmette yapay zekâ uygulamaları: olanaklar, sınırlılıklar ve etik tartışmalar. In 12th International Paris Congress on Social Sciences & Humanities (pp. 304–320). Liberty Academic Publishers.
  • AI, S. (2025). Microsoft seeing AI. https:/ /www.microsoft.com/en-us/ga¬rage/wall-of-fame/seeing-ai/ (Erişim Tarihi: 18.06.2025).
  • Akyüz, K. F. & Köroğlu, C. Z. (2024). Engellilik bağlamında makro sosyal hizmet ve sivil toplum kuruluşları üzerine bir değerlendirme. Journal of Social, Humanities and Administrative Sciences, 10(2), 247-259.
  • 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.
  • Alptekin, K. (2016). Başlangıçtan bugüne ve yarına: Türkiye'de sosyal hizmet eğitimi. Ankara: Nobel Akademik Yayıncılık.
  • Asıl, S. (2025). Yapay zekâ etiği: temel ilkeler, sorunlar ve disiplinlerarası yaklaşımlar. İNİF E- Dergi, 10(1), 152-175.
  • Ava: Live Captioning App for the Deaf and Hard-of-Hearing. (2025). Ava. https://www.ava.me/ (Erişim Tarihi: 18.06.2025).
  • Aydın, A. & Müftüoğlu, Z. (2021). Ulusal yapay zekâ stratejisi ile ülkemiz yeni bir atılım başlatmıştır. TRT Akademi Analiz/Değerlendirme, 6(13), 889–895.
  • Aydin, S., Akpinar Aslan, E. & Batmaz, S. (2025). Physically disabled individuals’ coping styles and resilience by disability type and onset. Turkish Journal of Clinical Psychiatry, 0(28), 105–112. Balling, L. W., Mølgaard, L. L., Townend, O. & Nielsen, J. B. B. (2021). The collaboration between hearing aid users and artificial intelligence to optimize sound. Seminars in Hearing, 42(3), 282–294.
  • Be My Eyes. (2025). Be My Eyes: Helping blind see. App Store. https://apps.apple.com/tr/app/be-my-eyes-helping-blind-see/id905177575 (Erişim Tarihi: 18.06.2025).
  • Bookman, M., Mondelli, F. & Yokoyama, S. (2024). Putting virtual reality to disability activism: Co-creation and intersectional pedagogical usage in Japan. International Journal of Disability and Social Justice, 4(1), 0-0. https://doi.org/10.13169/intljofdissocjus.4.1.0010
  • Bookshare. (2025). Bookshare: Accessible ebooks for people with print disabilities. https://www.bookshare.org/ (Erişim Tarihi: 18.06.2025).
  • Borozancı, İ., Sezer, S., Türe, D., Panış, B. İ., Arıcı, A. & Bolat, G. B. (2021). Pandemi sürecinde fiziksel engelli bireylerin sorun ve beklentileri üzerine nitel bir inceleme. Ufkun Ötesi Bilim Dergisi, 21(2), 269-289.
  • Bravou, V. & Drigas, A. (2022). Applications of virtual reality for autism inclusion: A review. Retos, 0(45), 779–785. https://doi.org/10.47197/retos.v45i0.92078
  • Bulut, S. (2015). Görme engellilere yabancı dil olarak Türkçe öğretimi. Kesit Akademi Dergisi, 1(1), 138-173. http://dx.doi.org/10.18020/kesit.7
  • Bulut, S. & Bulut, G. (2016). usage of three dimensional technology in teaching Turkish language to the people with visually ımpaired. Jass Studies-International Journal of Social Science, 0(46), 319-330. http://dx.doi.org/10.9761/JASSS3445
  • Bulut, S. (2018). İşitme engellilere yabancı dil olarak Türkçe öğretiminde üç boyutlu teknolojilerin yeri. Milli Eğitim Dergisi, 47(218), 21-54. https://dergipark.org.tr/tr/download/article-file/554135
  • Camgoz, N. C., Hadfield, S., Koller, O., Ney, H. & Bowden, R. (2018). Neural sign language translation. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Salt Lake City, Utah, 18–22 June 2018 (pp. 7784–7793).
  • Çakır, Z. & Karaaziz, M. (2024). Otizm spektrum bozukluğunun tedavisinde yapay zekâ destekli uygulamaların etkisi üzerine bir derleme. Sosyal Araştırmalar ve Davranış Bilimleri Dergisi / Journal of Social Research and Behavioral Sciences, 10(22), 418–440. https://doi.org/10.52096/jsrbs.10.22.27
  • Çetintaş, F. (2023). Sosyal Hizmet Uygulamarında yapay zekâ potansiyel, riskler ve etik sorunlar. Jass Studies-The Journal of Academic Social Science Studies, 16(97), 315-322.
  • Demir, Y. E. & Gedik, M. (2022). Engelli kavramı ile ilgili akademik yayınların VOSviewer ile bibliyometrik analizi bibliometric analysis of academic publications on the concept of disabled with VOSviewer. Toplumsal Politika Dergisi / Turkish Journal of Social Policy, 3(1), 12-25.
  • Duyan, V (2014). Sosyal hizmet: temelleri, yaklaşimlari, müdahale yöntemleri. Ankara: Hayat Yayıncılık.
  • Efe, A. (2021). Yapay zekâ risklerinin etik yönünden değerlendirilmesi. Bilgi ve İletişim Teknolojileri Dergisi, 3(1), 1–24.
  • Eken, H. (2024). Zihinsel engelli çocukların sosyal etkileşiminde ebeveynlerin rolü. International Journal of Eurasia Social Sciences (IJOESS), 15(56), 690-705.
  • European Association of Service providers for Persons with Disabilities (EASPD). (2025, May). Unlocking the potential of artificial intelligence (AI) in social services: EASPD’s contribution to the call for evidence on the Apply AI Strategy. Brussels, Belgium: EASPD.
  • Ferebee, S. (2025). AI and accessibility: Breaking barriers for people with disabilities. Premier Journal of Artificial Intelligence, 2, 100012, 1–10. https://doi.org/10.70389/PJAI.100012
  • Frank, M. R., Autor, D., Bessen, J. E., Brynjolfsson, E., Cebrian, M., Deming, D. J., Feldman, M. & Rahwan, I. (2019). Toward understanding the impact of artificial intelligence on labor. Proceedings of the National Academy of Sciences, 116(14), 6531–6539. https://doi.org/10.1073/pnas.1900949116
  • Frey, C. B. & Osborne, M. A. (2015). Technology at work: the future of innovation and employment. Oxford Martin School & Citi GPS.
  • Grey, E., Baber, F., Corbett, E., Ellis, D., Gillison, F. & Barnett, J. (2024). The use of technology to address loneliness and social isolation among older adults: the role of social care providers. BMC Public Health, 24(1), 108. https://doi.org/10.1186/s12889-023-17386-w
  • Gupta, C., Chandrashekar, P., Jin, T., He, C., Khullar, S., Chang, Q. et al. (2022). Bringing machine learning to research on intellectual and developmental disabilities: taking inspiration from neurological diseases. Journal of Neurodevelopmental Disorders, 14(1), 28.
  • Gupta, S. & Chen, Y. (2022). Supporting inclusive learning using chatbots? A chatbot-led interview study. Journal of Information Systems Education, 33(1), 98-108.
  • Gül, G. & Barış, İ. (2023). Özel gereksinimli bireylere yönelik tutumlar: sosyal hizmet öğrencilerinden yansımalar. Uluslararası Sosyal Hizmet Araştırmaları Dergisi, 3(3), 169-178.
  • Hagerty, A. & Rubinov, I. (2019). Global AI ethics: A review of the social impacts and ethical implications of artificial intelligence. arXiv preprint arXiv:1907.07892. https://arxiv.org/abs/1907.07892 (Erişim Tarihi: 05.09.2025).
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Yıl 2025, Cilt: 9 Sayı: 34, 231 - 252, 01.01.2026
https://doi.org/10.31455/asya.1780145
https://izlik.org/JA74RJ22GL

Öz

Kaynakça

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  • Olawade, D. B., Bolarinwa, O. A., Adebisi, Y. A., & Shongwe, S. (2025). The role of artificial intelligence in enhancing healthcare for people with disabilities. Social Science & Medicine, 364, 117560. 1-5. https://doi.org/10.1016/j.socscimed.2024.117560
  • Panjwani-Charania, S. & Zhai, X. (2023). AI for students with learning disabilities: A systematic review. In X. Zhai & J. Krajcik (Eds.), Uses of artificial intelligence in STEM education (pp. 1–21). https://www.researchgate.net/publication/374295269_ AI_for_Students_with_Learning_Disabilities _A_Systematic_Review
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  • Saki, Ş. & Köroğlu, M. A. (2024). Yapay zeka ve dijital teknolojilerin sosyal hizmet uygulamalarında kullanımı üzerine bir araştırma. Journal of Social, Humanities and Administrative Sciences, 10(2), 149-171. DOI: https://doi.org/10.5281/zenodo.10897555
  • Samim, A. (2023). A new paradigm of artificial intelligence to disabilities. International Journal of Science and Research (IJSR), 12(1), 478–482. https://doi.org/10.21275/SR23111022532
  • Shark, A. R. & Shropshire, A. (2019). Artificial intelligence and the teaching of public policy and administration. A. R. Shark (Ed.). In Artificial intelligence and its impact on public administration (pp. 25–31). National Academy of Public Administration.
  • Shuford, J. (2023). The contribution of artificial intelligence in improving accessibility for individuals with disabilities. Journal of Knowledge Learning and Science Technology, 2(2), 433–444. https://doi.org/10.60087/jklst.vol2.n2.p433
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  • Singh, M. (2018). GnoSys app translates sign language into speech in real time using the power of AI. Newz Hook. https://newzhook.com/story/20387/
  • Singh, V. (2025). AI-powered assistive technologies for people with disabilities: Developing AI solutions that aid individuals with various disabilities in daily tasks. Journal of Engineering Research and Reports, 0(27), 292–309. https://doi.org/10.9734/jerr/2025/v27i21410
  • Smith, M. L., & Neupane, S. (2018). Artificial intelligence and human development: Toward a research agenda. International Development Research Centre.
  • Susuz, Ç., & Güçiz Doğan, B. (2020). Halk sağlığı bakışıyla otizm spektrum bozukluğu. ESTÜDAM Halk Sağlığı Dergisi, 5(2), 297–310. https://doi.org/10.35232/estudamhsd.684075
  • Teach Access. (2025). Where AI meets accessibility: Considerations for higher education. Every Learner Everywhere. https://www.everylearnereverywhere.org/resources/where-ai-meets-accessibility-considerations-for-higher-education/ (Erişim Tarihi: 18.07.2025).
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  • Tlili, A., Zhang, X. & Huang, R. (2024). Towards next-generation user interfaces: Chinese perspective of implementing artificial intelligence (AI) to support people with disabilities. Nafath, Issue 26. Mada Center, Qatar.
  • Toper, F., Aslan, H. & Özpolat, A.O. (2023). Türkiye’deki sosyal hizmet kurumlarının tarihsel gelişimi. Journal of History School, 0(62),125-158.
  • Turner, A. (2020). “No evidence” machine learning works well in children’s social care. https://www.communitycare.co.uk/2020/09/10/evidence-machine-learning-works-well-childrens-socialcare-study-finds/ (Erişim Tarihi: 12.10.2025).
  • Uysal S, (2019). Sosyal hizmet eğitim ve mesleğinin geleceğine dair akademisyenler, sosyal çalışmacılar, öğrenciler ve mezunların görüş ve önerilerinin incelenmesi (Tez No: 563109). (Yayımlanmış Yüksek Lisans Tezi). Üsküdar Üniversitesi Sağlık Bilimleri Enstitüsü, İstanbul.
  • Uzun, Y. & Arıkan, H. (2024, Ağustos). Yapay zeka ile engelli bireylerin sosyal hayata entegrasyonu: Çözümler ve örnekler. Yeni Türkiye, 0(138), 325–335.
  • Waddell, K. (2016). How Algorithms can bring down minorities' credit scores. the atlantic. https://www.theatlantic.com/technology/archive/2016/12/how-algorithms-can-bring-down- minoritiescredit-scores/509333/ (Erişim Tarihi: 12.09.2025).
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  • Wu, S., Reynolds, L., Li, X., & Guzmán, F. (2019). Design and evaluation of a social media writing support tool for people with dyslexia. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (pp. 1–14).
  • Yolcuoğlu, İ. G (2012). Sosyal hizmete giriş. Ankara: SABEV Yayınları.
  • Zhang, H., Liao, X., Liang, S., Tong, L., Shen, J., Peng, B., Wu, L., Gao, L., Jia, Q., Ren, L., Luo, L., Wang, Y. & Zhang, X. (2025). The impact of information technology applications on the quality of life of disabled older adults in nursing homes in China: A qualitative study. Frontiers in Public Health, 0(13), 1560306. https://doi.org/10.3389/fpubh.2025.1560306
  • Zhang, S. (2025). Küçük çocuklarda otizm için yapay zeka destekli erken tarama, tanı ve müdahale. Frontiers in Psychiatry, 0(16), 1513809. https://doi.org/10.3389/fpsyt.2025.1513809
  • Zhang, W., Yang, C., Cao, Z., Li, Z., Zhuo, L., Tan, Y. et al. (2023). Detecting individuals with severe mental illness using artificial intelligence applied to magnetic resonance imaging. EBioMedicine, 90, 104541.
  • Zhao, X., Cox, A., & Xuanning, C. (2025). The use of generative AI by students with disabilities in higher education. The Internet and Higher Education, 66, 101014. 1-37 https://doi.org/10.1016/j.iheduc.2025.101014
  • Zingoni, A., Taborri, J., Panetti, V., Bonechi, S., Aparicio-Martínez, P., Pinzi, S., & Calabrò, G. (2021). Investigating issues and needs of dyslexic students at university: Proof of concept of an artificial intelligence and virtual reality-based supporting platform and preliminary results. Applied Sciences, 11(10), 4624. https://doi.org/10.3390/app11104624

Yıl 2025, Cilt: 9 Sayı: 34, 231 - 252, 01.01.2026
https://doi.org/10.31455/asya.1780145
https://izlik.org/JA74RJ22GL

Öz

Kaynakça

  • Akdeniz, E. T., Öztürk, E. & Tiktaş Çelik, S. (2025). Sosyal hizmette yapay zekâ uygulamaları: olanaklar, sınırlılıklar ve etik tartışmalar. In 12th International Paris Congress on Social Sciences & Humanities (pp. 304–320). Liberty Academic Publishers.
  • AI, S. (2025). Microsoft seeing AI. https:/ /www.microsoft.com/en-us/ga¬rage/wall-of-fame/seeing-ai/ (Erişim Tarihi: 18.06.2025).
  • Akyüz, K. F. & Köroğlu, C. Z. (2024). Engellilik bağlamında makro sosyal hizmet ve sivil toplum kuruluşları üzerine bir değerlendirme. Journal of Social, Humanities and Administrative Sciences, 10(2), 247-259.
  • 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.
  • Alptekin, K. (2016). Başlangıçtan bugüne ve yarına: Türkiye'de sosyal hizmet eğitimi. Ankara: Nobel Akademik Yayıncılık.
  • Asıl, S. (2025). Yapay zekâ etiği: temel ilkeler, sorunlar ve disiplinlerarası yaklaşımlar. İNİF E- Dergi, 10(1), 152-175.
  • Ava: Live Captioning App for the Deaf and Hard-of-Hearing. (2025). Ava. https://www.ava.me/ (Erişim Tarihi: 18.06.2025).
  • Aydın, A. & Müftüoğlu, Z. (2021). Ulusal yapay zekâ stratejisi ile ülkemiz yeni bir atılım başlatmıştır. TRT Akademi Analiz/Değerlendirme, 6(13), 889–895.
  • Aydin, S., Akpinar Aslan, E. & Batmaz, S. (2025). Physically disabled individuals’ coping styles and resilience by disability type and onset. Turkish Journal of Clinical Psychiatry, 0(28), 105–112. Balling, L. W., Mølgaard, L. L., Townend, O. & Nielsen, J. B. B. (2021). The collaboration between hearing aid users and artificial intelligence to optimize sound. Seminars in Hearing, 42(3), 282–294.
  • Be My Eyes. (2025). Be My Eyes: Helping blind see. App Store. https://apps.apple.com/tr/app/be-my-eyes-helping-blind-see/id905177575 (Erişim Tarihi: 18.06.2025).
  • Bookman, M., Mondelli, F. & Yokoyama, S. (2024). Putting virtual reality to disability activism: Co-creation and intersectional pedagogical usage in Japan. International Journal of Disability and Social Justice, 4(1), 0-0. https://doi.org/10.13169/intljofdissocjus.4.1.0010
  • Bookshare. (2025). Bookshare: Accessible ebooks for people with print disabilities. https://www.bookshare.org/ (Erişim Tarihi: 18.06.2025).
  • Borozancı, İ., Sezer, S., Türe, D., Panış, B. İ., Arıcı, A. & Bolat, G. B. (2021). Pandemi sürecinde fiziksel engelli bireylerin sorun ve beklentileri üzerine nitel bir inceleme. Ufkun Ötesi Bilim Dergisi, 21(2), 269-289.
  • Bravou, V. & Drigas, A. (2022). Applications of virtual reality for autism inclusion: A review. Retos, 0(45), 779–785. https://doi.org/10.47197/retos.v45i0.92078
  • Bulut, S. (2015). Görme engellilere yabancı dil olarak Türkçe öğretimi. Kesit Akademi Dergisi, 1(1), 138-173. http://dx.doi.org/10.18020/kesit.7
  • Bulut, S. & Bulut, G. (2016). usage of three dimensional technology in teaching Turkish language to the people with visually ımpaired. Jass Studies-International Journal of Social Science, 0(46), 319-330. http://dx.doi.org/10.9761/JASSS3445
  • Bulut, S. (2018). İşitme engellilere yabancı dil olarak Türkçe öğretiminde üç boyutlu teknolojilerin yeri. Milli Eğitim Dergisi, 47(218), 21-54. https://dergipark.org.tr/tr/download/article-file/554135
  • Camgoz, N. C., Hadfield, S., Koller, O., Ney, H. & Bowden, R. (2018). Neural sign language translation. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Salt Lake City, Utah, 18–22 June 2018 (pp. 7784–7793).
  • Çakır, Z. & Karaaziz, M. (2024). Otizm spektrum bozukluğunun tedavisinde yapay zekâ destekli uygulamaların etkisi üzerine bir derleme. Sosyal Araştırmalar ve Davranış Bilimleri Dergisi / Journal of Social Research and Behavioral Sciences, 10(22), 418–440. https://doi.org/10.52096/jsrbs.10.22.27
  • Çetintaş, F. (2023). Sosyal Hizmet Uygulamarında yapay zekâ potansiyel, riskler ve etik sorunlar. Jass Studies-The Journal of Academic Social Science Studies, 16(97), 315-322.
  • Demir, Y. E. & Gedik, M. (2022). Engelli kavramı ile ilgili akademik yayınların VOSviewer ile bibliyometrik analizi bibliometric analysis of academic publications on the concept of disabled with VOSviewer. Toplumsal Politika Dergisi / Turkish Journal of Social Policy, 3(1), 12-25.
  • Duyan, V (2014). Sosyal hizmet: temelleri, yaklaşimlari, müdahale yöntemleri. Ankara: Hayat Yayıncılık.
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  • Wu, S., Reynolds, L., Li, X., & Guzmán, F. (2019). Design and evaluation of a social media writing support tool for people with dyslexia. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (pp. 1–14).
  • Yolcuoğlu, İ. G (2012). Sosyal hizmete giriş. Ankara: SABEV Yayınları.
  • Zhang, H., Liao, X., Liang, S., Tong, L., Shen, J., Peng, B., Wu, L., Gao, L., Jia, Q., Ren, L., Luo, L., Wang, Y. & Zhang, X. (2025). The impact of information technology applications on the quality of life of disabled older adults in nursing homes in China: A qualitative study. Frontiers in Public Health, 0(13), 1560306. https://doi.org/10.3389/fpubh.2025.1560306
  • Zhang, S. (2025). Küçük çocuklarda otizm için yapay zeka destekli erken tarama, tanı ve müdahale. Frontiers in Psychiatry, 0(16), 1513809. https://doi.org/10.3389/fpsyt.2025.1513809
  • Zhang, W., Yang, C., Cao, Z., Li, Z., Zhuo, L., Tan, Y. et al. (2023). Detecting individuals with severe mental illness using artificial intelligence applied to magnetic resonance imaging. EBioMedicine, 90, 104541.
  • Zhao, X., Cox, A., & Xuanning, C. (2025). The use of generative AI by students with disabilities in higher education. The Internet and Higher Education, 66, 101014. 1-37 https://doi.org/10.1016/j.iheduc.2025.101014
  • Zingoni, A., Taborri, J., Panetti, V., Bonechi, S., Aparicio-Martínez, P., Pinzi, S., & Calabrò, G. (2021). Investigating issues and needs of dyslexic students at university: Proof of concept of an artificial intelligence and virtual reality-based supporting platform and preliminary results. Applied Sciences, 11(10), 4624. https://doi.org/10.3390/app11104624

Yıl 2025, Cilt: 9 Sayı: 34, 231 - 252, 01.01.2026
https://doi.org/10.31455/asya.1780145
https://izlik.org/JA74RJ22GL

Öz

Kaynakça

  • Akdeniz, E. T., Öztürk, E. & Tiktaş Çelik, S. (2025). Sosyal hizmette yapay zekâ uygulamaları: olanaklar, sınırlılıklar ve etik tartışmalar. In 12th International Paris Congress on Social Sciences & Humanities (pp. 304–320). Liberty Academic Publishers.
  • AI, S. (2025). Microsoft seeing AI. https:/ /www.microsoft.com/en-us/ga¬rage/wall-of-fame/seeing-ai/ (Erişim Tarihi: 18.06.2025).
  • Akyüz, K. F. & Köroğlu, C. Z. (2024). Engellilik bağlamında makro sosyal hizmet ve sivil toplum kuruluşları üzerine bir değerlendirme. Journal of Social, Humanities and Administrative Sciences, 10(2), 247-259.
  • 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.
  • Alptekin, K. (2016). Başlangıçtan bugüne ve yarına: Türkiye'de sosyal hizmet eğitimi. Ankara: Nobel Akademik Yayıncılık.
  • Asıl, S. (2025). Yapay zekâ etiği: temel ilkeler, sorunlar ve disiplinlerarası yaklaşımlar. İNİF E- Dergi, 10(1), 152-175.
  • Ava: Live Captioning App for the Deaf and Hard-of-Hearing. (2025). Ava. https://www.ava.me/ (Erişim Tarihi: 18.06.2025).
  • Aydın, A. & Müftüoğlu, Z. (2021). Ulusal yapay zekâ stratejisi ile ülkemiz yeni bir atılım başlatmıştır. TRT Akademi Analiz/Değerlendirme, 6(13), 889–895.
  • Aydin, S., Akpinar Aslan, E. & Batmaz, S. (2025). Physically disabled individuals’ coping styles and resilience by disability type and onset. Turkish Journal of Clinical Psychiatry, 0(28), 105–112. Balling, L. W., Mølgaard, L. L., Townend, O. & Nielsen, J. B. B. (2021). The collaboration between hearing aid users and artificial intelligence to optimize sound. Seminars in Hearing, 42(3), 282–294.
  • Be My Eyes. (2025). Be My Eyes: Helping blind see. App Store. https://apps.apple.com/tr/app/be-my-eyes-helping-blind-see/id905177575 (Erişim Tarihi: 18.06.2025).
  • Bookman, M., Mondelli, F. & Yokoyama, S. (2024). Putting virtual reality to disability activism: Co-creation and intersectional pedagogical usage in Japan. International Journal of Disability and Social Justice, 4(1), 0-0. https://doi.org/10.13169/intljofdissocjus.4.1.0010
  • Bookshare. (2025). Bookshare: Accessible ebooks for people with print disabilities. https://www.bookshare.org/ (Erişim Tarihi: 18.06.2025).
  • Borozancı, İ., Sezer, S., Türe, D., Panış, B. İ., Arıcı, A. & Bolat, G. B. (2021). Pandemi sürecinde fiziksel engelli bireylerin sorun ve beklentileri üzerine nitel bir inceleme. Ufkun Ötesi Bilim Dergisi, 21(2), 269-289.
  • Bravou, V. & Drigas, A. (2022). Applications of virtual reality for autism inclusion: A review. Retos, 0(45), 779–785. https://doi.org/10.47197/retos.v45i0.92078
  • Bulut, S. (2015). Görme engellilere yabancı dil olarak Türkçe öğretimi. Kesit Akademi Dergisi, 1(1), 138-173. http://dx.doi.org/10.18020/kesit.7
  • Bulut, S. & Bulut, G. (2016). usage of three dimensional technology in teaching Turkish language to the people with visually ımpaired. Jass Studies-International Journal of Social Science, 0(46), 319-330. http://dx.doi.org/10.9761/JASSS3445
  • Bulut, S. (2018). İşitme engellilere yabancı dil olarak Türkçe öğretiminde üç boyutlu teknolojilerin yeri. Milli Eğitim Dergisi, 47(218), 21-54. https://dergipark.org.tr/tr/download/article-file/554135
  • Camgoz, N. C., Hadfield, S., Koller, O., Ney, H. & Bowden, R. (2018). Neural sign language translation. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Salt Lake City, Utah, 18–22 June 2018 (pp. 7784–7793).
  • Çakır, Z. & Karaaziz, M. (2024). Otizm spektrum bozukluğunun tedavisinde yapay zekâ destekli uygulamaların etkisi üzerine bir derleme. Sosyal Araştırmalar ve Davranış Bilimleri Dergisi / Journal of Social Research and Behavioral Sciences, 10(22), 418–440. https://doi.org/10.52096/jsrbs.10.22.27
  • Çetintaş, F. (2023). Sosyal Hizmet Uygulamarında yapay zekâ potansiyel, riskler ve etik sorunlar. Jass Studies-The Journal of Academic Social Science Studies, 16(97), 315-322.
  • Demir, Y. E. & Gedik, M. (2022). Engelli kavramı ile ilgili akademik yayınların VOSviewer ile bibliyometrik analizi bibliometric analysis of academic publications on the concept of disabled with VOSviewer. Toplumsal Politika Dergisi / Turkish Journal of Social Policy, 3(1), 12-25.
  • Duyan, V (2014). Sosyal hizmet: temelleri, yaklaşimlari, müdahale yöntemleri. Ankara: Hayat Yayıncılık.
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Artificial Intelligence–Supported Applications for Individuals with Disabilities: A Social Work–Based Evaluation

Yıl 2025, Cilt: 9 Sayı: 34, 231 - 252, 01.01.2026
https://doi.org/10.31455/asya.1780145
https://izlik.org/JA74RJ22GL

Öz

Social work and artificial intelligence (AI) have emerged as two closely interacting and significant fields in contemporary society. The discipline of social work is a human rights-based science that aims to enhance the quality of life and ensure the participation of disadvantaged groups in social life. In recent years, the development of AI technologies has created new opportunities that support the objectives of social work. In this context, keeping up with and applying advances in AI for individuals with disabilities—a key focus area of social work—has become indispensable. Consistent with the principles of the discipline, AI-supported applications not only provide individualized assistance but also enable social work professionals to deliver services to their clients more effectively, rapidly, and efficiently. This study examines AI-supported applications developed for individuals with disabilities through international examples and offers implementation recommendations to facilitate the effective use of these technologies by social work practitioners. However, since most of these applications have been developed internationally, there are limitations in terms of language and accessibility in our country. This situation complicates both the guidance of interventions and the planning of services for individuals with disabilities as well as the professional practice of social workers.

Etik Beyan

This article does not require ethical committee approval.

Kaynakça

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  • Zhang, S. (2025). Küçük çocuklarda otizm için yapay zeka destekli erken tarama, tanı ve müdahale. Frontiers in Psychiatry, 0(16), 1513809. https://doi.org/10.3389/fpsyt.2025.1513809
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  • Zingoni, A., Taborri, J., Panetti, V., Bonechi, S., Aparicio-Martínez, P., Pinzi, S., & Calabrò, G. (2021). Investigating issues and needs of dyslexic students at university: Proof of concept of an artificial intelligence and virtual reality-based supporting platform and preliminary results. Applied Sciences, 11(10), 4624. https://doi.org/10.3390/app11104624

Engelli Bireylere Yönelik Yapay Zekâ Destekli Uygulamalar: Sosyal Hizmet Temelli Değerlendirme

Yıl 2025, Cilt: 9 Sayı: 34, 231 - 252, 01.01.2026
https://doi.org/10.31455/asya.1780145
https://izlik.org/JA74RJ22GL

Öz

Sosyal hizmet ve yapay zekâ günümüzde etkileşim içinde olan iki önemli alan olarak ön plana çıkmaktadır. Sosyal hizmet disiplini dezavantajlı grupların yaşama katılımını sağlayan ve yaşam kalitesini arttırma amacı doğrultusunda hareket eden insan hakları temelli bir bilimdir. Son yıllarda yapay zekâ teknolojilerinin gelişimi sosyal hizmetin amacını destekleyen yeni imkânlar oluşturmuştur. Bu bağlamda sosyal hizmet biliminin en önemli çalışma alanlarından biri olan engelli bireylere yönelik yapay zekâ alanındaki gelişmelerin takip edilip uygulanması kaçınılmaz hale gelmiştir. Sosyal hizmet disiplini gereği yapay zekâ destekli uygulamalar yalnızca bireysel destek sağlamakla kalmayıp aynı zamanda sosyal hizmet uzmanlarının danışanlarıyla daha etkili, hızlı ve etkin hizmet sunmalarına da olanak tanımıştır. Bu çalışmada uluslararası örnekler üzerinden engelli bireyler için geliştirilen yapay zekâ destekli uygulama örnekleri incelenmiş ve sosyal hizmet uzmanları için bu teknolojilerin etkin bir şekilde kullanılması amacıyla uygulama önerileri sunulmuştur. Ancak bu uygulamaların çoğu uluslararası alanda gerçekleştirildiğinden hem dil hem de erişebilirlik bakımından ülkemizde sınırlılık yaşanmaktadır. Bu durum ise hem engelli bireyler açısından hem de sosyal hizmet uzmanları açısından uygulamaları yönlendirme ve müdahale planlarını zorlaştırmaktadır.

Etik Beyan

Bu makale için etik kurul onayı gerekmemektedir.

Kaynakça

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  • Susuz, Ç., & Güçiz Doğan, B. (2020). Halk sağlığı bakışıyla otizm spektrum bozukluğu. ESTÜDAM Halk Sağlığı Dergisi, 5(2), 297–310. https://doi.org/10.35232/estudamhsd.684075
  • Teach Access. (2025). Where AI meets accessibility: Considerations for higher education. Every Learner Everywhere. https://www.everylearnereverywhere.org/resources/where-ai-meets-accessibility-considerations-for-higher-education/ (Erişim Tarihi: 18.07.2025).
  • Tek, S., Çobanoğlu, A., Çelik, F.C. & Küçükkaya, Ş. (2022). Dezavantajlı/Risk Altındaki Gruplar: Azınlıklar. H. Doğan (Ed.). Sosyal hizmette dezavantajlı/risk altındaki gruplar II İçinde (s.39-41). Ankara: Nika Yayınevi.
  • Tlili, A., Zhang, X. & Huang, R. (2024). Towards next-generation user interfaces: Chinese perspective of implementing artificial intelligence (AI) to support people with disabilities. Nafath, Issue 26. Mada Center, Qatar.
  • Toper, F., Aslan, H. & Özpolat, A.O. (2023). Türkiye’deki sosyal hizmet kurumlarının tarihsel gelişimi. Journal of History School, 0(62),125-158.
  • Turner, A. (2020). “No evidence” machine learning works well in children’s social care. https://www.communitycare.co.uk/2020/09/10/evidence-machine-learning-works-well-childrens-socialcare-study-finds/ (Erişim Tarihi: 12.10.2025).
  • Uysal S, (2019). Sosyal hizmet eğitim ve mesleğinin geleceğine dair akademisyenler, sosyal çalışmacılar, öğrenciler ve mezunların görüş ve önerilerinin incelenmesi (Tez No: 563109). (Yayımlanmış Yüksek Lisans Tezi). Üsküdar Üniversitesi Sağlık Bilimleri Enstitüsü, İstanbul.
  • Uzun, Y. & Arıkan, H. (2024, Ağustos). Yapay zeka ile engelli bireylerin sosyal hayata entegrasyonu: Çözümler ve örnekler. Yeni Türkiye, 0(138), 325–335.
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  • WHO (World Health Organization) (2025). Disability. Retrieved from https://www.who.int/health-topics/disability#tab=tab_1 (Erişim Tarihi: 12.09.2025).
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  • Yolcuoğlu, İ. G (2012). Sosyal hizmete giriş. Ankara: SABEV Yayınları.
  • Zhang, H., Liao, X., Liang, S., Tong, L., Shen, J., Peng, B., Wu, L., Gao, L., Jia, Q., Ren, L., Luo, L., Wang, Y. & Zhang, X. (2025). The impact of information technology applications on the quality of life of disabled older adults in nursing homes in China: A qualitative study. Frontiers in Public Health, 0(13), 1560306. https://doi.org/10.3389/fpubh.2025.1560306
  • Zhang, S. (2025). Küçük çocuklarda otizm için yapay zeka destekli erken tarama, tanı ve müdahale. Frontiers in Psychiatry, 0(16), 1513809. https://doi.org/10.3389/fpsyt.2025.1513809
  • Zhang, W., Yang, C., Cao, Z., Li, Z., Zhuo, L., Tan, Y. et al. (2023). Detecting individuals with severe mental illness using artificial intelligence applied to magnetic resonance imaging. EBioMedicine, 90, 104541.
  • Zhao, X., Cox, A., & Xuanning, C. (2025). The use of generative AI by students with disabilities in higher education. The Internet and Higher Education, 66, 101014. 1-37 https://doi.org/10.1016/j.iheduc.2025.101014
  • Zingoni, A., Taborri, J., Panetti, V., Bonechi, S., Aparicio-Martínez, P., Pinzi, S., & Calabrò, G. (2021). Investigating issues and needs of dyslexic students at university: Proof of concept of an artificial intelligence and virtual reality-based supporting platform and preliminary results. Applied Sciences, 11(10), 4624. https://doi.org/10.3390/app11104624
Toplam 72 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Sosyal Hizmetler (Diğer), Dezavantajlı Gruplar
Bölüm Araştırma Makalesi
Yazarlar

Fatih Çetintaş 0000-0003-2753-8428

Gönderilme Tarihi 8 Eylül 2025
Kabul Tarihi 26 Aralık 2025
Yayımlanma Tarihi 1 Ocak 2026
DOI https://doi.org/10.31455/asya.1780145
IZ https://izlik.org/JA74RJ22GL
Yayımlandığı Sayı Yıl 2025 Cilt: 9 Sayı: 34

Kaynak Göster

APA Çetintaş, F. (2026). Engelli Bireylere Yönelik Yapay Zekâ Destekli Uygulamalar: Sosyal Hizmet Temelli Değerlendirme. Asya Studies, 9(34), 231-252. https://doi.org/10.31455/asya.1780145

88x31.png  Asya Studies dergisinde yer alan eserler Creative Commons Atıf 4.0 Uluslararası Lisansı ile lisanslanmıştır.