Yapay zekâ ve eğitim ilişkisini yeniden düşünmek: Sosyolojik bir değerlendirme

Öz

Eğitim, yapay zekâ (YZ) teknolojilerinin gelişmelerinden en fazla etkilenen ve etkilenmeye devam edecek olan kurumlardan biridir. Eğitimin bileşenlerinden olan öğrenci, öğretmen ve mekân üzerinde yapay zekânın etkileri görülebilmektedir. Yapay zekâ teknolojileri bu bileşenleri doğrudan etkileyebilmekte ancak aynı zamanda bu unsurların birbirleriyle olan etkileşimlerine de dolaylı olarak etki edebilmektedir. Bu çalışma, eğitim ve yapay zekâ ilişkisi sosyolojik ve eleştirel bir biçimde incelemeyi amaçlamaktadır. Yapay zekânın eğitim sistemlerine entegrasyonu konusunda olumlu ve olumsuz görüşlerin bulunduğu bilinmektedir. Bu çalışmanın amacı, yapay zekânın eğitimde kullanımının sosyolojik kavramlardan olan artı değer, dijital emek, gözetim ve algoritmik kontrol perspektifiyle yeniden değerlendirilerek; yapay zekânın etkisiyle eğitim ve bileşenlerinin dijital çağda nasıl anlamlandırıldığı açıklamaya çalışmaktır. Bu çalışma, ilgili konunun kuramsal arka planını ve kavramsal dönüşümünü tartışmaya açan eleştirel bir değerlendirmedir. Bu bağlamda, çalışmanın sonucunda, yapay zekânın eğitim sistemi içinde bir nesne olması gerekirken; çeşitli gerekçelerle bir özneye dönüşme tehlikesi barındırdığı sonucuna ulaşılmıştır.

Anahtar Kelimeler

• Yapay zekâ
• eğitim
• artı değer
• dijital emek
• gözetim

Rethinking the relationship between artificial intelligence and education: A sociological assessment

Öz

Education stands as one of the primary institutions most profoundly impacted by the advancements in Artificial Intelligence (AI) Technologies, a trajectory that is poised to persist. The manifestations of AI’s influence are discernable across the core constituents of education: the student, the educator, and the pedagogical space. While AI technologies directly impinge upon these components, they simultaneously exert an indirect influence on the relational dynamics and interactions between them. This study seeks to examine the nexus between education and artificial intelligence through a sociological and critical lens. It is well-established that the integration of artificial intelligence into educational systems elicits a spectrum of both affirmative and divergent perspectives. The objective of this research is to re-evaluate the utilization of AI in education through the sociological frameworks of surplus value, digital labor, surveillance, and algorithmic control. In doing so, it attempts to elucidate how education and its fundamental elements are re-conceptualized within the digital age under the influence of AI. Designed as a review article, this study utilizes a literature review methodology, which is situated within qualitative research paradigms. The findings suggest that while artificial intelligence ought to function as an object within the educational system, it harbors the inherent risk of transforming into a subject under various pretexts.

Anahtar Kelimeler

• Artificial intelligence
• education
• surplus value
• digital labor
• surveillance

Kaynakça

1. Akdeniz, M. (2019). Artificial intelligence based smart toys for preschool children: A design-based study [Master’s thesis, Afyon Kocatepe University].
2. Akdeniz, M., & Özdinç, F. (2021). Examination of Turkey addressing studies regarding artificial intelligence in education. YYU Journal of Education Faculty, 18(1), 912–932. https://doi.org/10.33711/yyuefd.938734
3. Alanoğlu, M., & Karabatak, S. (2021). Artificial intelligence in education. In F. Güçlü Yılmaz & M. Naillioğlu Kaymak (Eds.), Eğitim araştırmaları-2020 (pp. 175–185). Eyuder Publishing.
4. Andrew, J., & Baker, M. (2021). The general data protection regulation in the age of surveillance capitalism. Journal of Business Ethics, 168, 565–578. https://doi.org/10.1007/s10551-019-04239-z
5. Bottomore, T. (2013). The Frankfurt School and its critics (Ü. H. Yolsal, Trans.). Say Publishing.
6. Demir, M. (2025). The sociology of artificial intelligence: A conceptual framework and disciplinary proposition. Business and Management Studies: An International Journal, 13(2), 661–671. https://doi.org/10.15295/bmij.v13i2.2568
7. Devedžić, V. (2004). Web intelligence and artificial intelligence in education. International Forum of Educational Technology and Society, 7(4), 29–39. https://www.jstor.org/stable/10.2307/jeductechsoci.7.4.29
8. Feenberg, A. (1996). Marcuse or Habermas: Two critiques of technology. Inquiry, 39, 45–70.

9. Fuchs, C. (2012). The political economy of privacy on Facebook. Television & New Media, 13(2), 139–159. https://doi.org/10.1177/1527476411415699
10. Fuchs, C. (2019). Dijital emek ve Karl Marx (T. E. Kalaycı & S. Oğuz, Trans.). NotaBene Publishing.
11. Fuchs, C., & Sevignani, S. (2013). What is digital labour? What is digital work? What’s their difference? And why do these questions matter for understanding social media? Triple C: Communication, Capitalism & Critique, 11(2), 237–293. https://doi.org/10.31269/triplec.v11i2.461
12. Giddens, A. (2008). Ulus devlet ve şiddet [The nation-state and violence]. Kalkedon Publishing.
13. Holstein, K., McLaren, B. M., & Aleven, V. (2019). Co-designing a real-time classroom orchestration tool to support teacher-AI complementarity. Journal of Learning Analytics, 6(2), 27–52. https://doi.org/10.18608/jla.2019.62.3
14. Hrastinski, S., Olofsson, A. D., Arkenback, C., Ekström, S., Ericsson, E., Fransson, G., Jaldemark, J., Ryberg, T., Öberg, L. M., Fuentes, A., Gustafsson, U., Humble, N., Mozelius, P., Sundgren, M., & Utterberg, M. (2019). Critical imaginaries and reflections on AI and robots in post-digital K-12 education. Postdigital Science and Education, 1(2), 427–445. https://doi.org/10.1007/s42438-019-00046-x
15. İşler, B., & Kılıç, M. (2021). The use and development of artificial intelligence in education. e-Journal of New Media, 5(1), 1–11.
16. Kızılçelik, S. (2008). Frankfurt okulu [Frankfurt school]. Anı Publishing.
17. Labadze, L., Grigolia, M., & Machaidze, M. (2023). Role of AI chatbots in education: Systematic literature review. International Journal of Educational Technology in Higher Education, 20, Article 56. https://doi.org/10.1186/s41239-023-00426-1
18. Lazzarato, M. (1996). Immaterial labor. In P. Virno & M. Hardt (Eds.), Radical thought in Italy: A potential politics (pp. 133–148). University of Minnesota Press. http://www.jstor.org/stable/10.5749/j.ctttssjm.12
19. Luckin, R., & Cukurova, M. (2019). Designing educational technologies in the age of AI: A learning sciences-driven approach. British Journal of Educational Technology, 50(6), 2824–2838. https://doi.org/10.1111/bjet.12861
20. Özarslan, Z. (2008). Gözün iktidarı: Elektronik gözetim sistemleri. In B. Çoban & Z. Özarslan (Eds.), Panoptikon: Gözün iktidarı (pp. 139–153). Su Publishing.
21. Pedró, F. (2020). Applications of artificial intelligence to higher education: Possibilities, evidence, and challenges. Open Journal of IUL University, 1(1), 61–76.
22. Ramlakhan, S., Saatchi, R., Sabir, L., Singh, Y., Hughes, R., Shobayo, O., & Ventour, D. (2022). Understanding and interpreting artificial intelligence, machine learning and deep learning in emergency medicine. Emergency Medicine Journal, 39(5), 380–385. https://doi.org/10.1136/emermed-2021-212068
23. Resurreccion, A. D. (2015). Dependence of digital economy on free labor. International Journal of Social Science and Humanity, 5(5), 461–465. https://doi.org/10.7763/IJSSH.2015.V5.500
24. Stalder, F. (2002). Opinion. Privacy is not the antidote to surveillance. Surveillance & Society, 1(1), 120–124.
25. Terranova, T. (2015). Bedava emek: Dijital ekonomide kültür üretimi. Folklor/Edebiyat Dergisi, 21(83), 343–363.
26. Timms, M. J. (2016). Letting artificial intelligence in education out of the box: Educational cobots and smart classrooms. International Journal of Artificial Intelligence in Education, 26(2), 701–712. https://doi.org/10.1007/s40593-016-0095-y
27. Varol, N. (2025). Artificial intelligence and ethics in education: A literature review. School Administration Journal, 5(1), 117–125.
28. Wang, Y., Zhang, X., Li, H., & Wang, Z. (2020). The application of big data and artificial intelligence in educational management. In Z. Chen, S. Deng, & L. Wang (Eds.), Advances in intelligent systems and computing (Vol. 1107, pp. 221–227). Springer.
29. Westin, A. F. (1967). Privacy and freedom. Atheneum Publishing.
30. Williams, R. (2013). Culture and materialism. Sel Publishing.
31. Zuboff, S. (2015). Big other: Surveillance capitalism and the prospects of an information civilization. Journal of Information Technology, 30(1), 75–89. https://doi.org/10.1057/jit.2015.5
32. Zuboff, S. (2021). Gözetleme kapitalizmi çağı: Gücün yeni sınırında insan geleceği için savaş. Okuyan Us Publishing.