Kavramdan Sınıfa: Yapay Zekânın Keşfi ve Eğitime Yansımaları

Öz

Bu araştırma yapay zekânın doğuşu, tarihsel gelişimi, güncel durumu ve eğitimdeki mevcut etkileri üzerinde kapsamlı bir inceleme sunmaktadır. Geleneksel alanyazın taraması benimsenerek yürütülen bu çalışmada yapay zeka türleri ve bunların eğitim sektöründeki uygulama alanlarının mevcut literatür kapsamında titizlikle incelendiği ve eleştirel bir okumasının yapılmış, çağdaş bilimsel çalışmalardan ve devam eden tartışmalardan yararlanılarak eğitimde yapay zekâ kullanımının olumlu ve olumsuz getirileri karşılaştırılmıştır. Uluslararası alanda yapay zekâ uygulamalarının ve sonuçlarının eğitimin gelişimindeki rolüne genel bir bakış açısı sunmak için geniş bir akademik tarama yapılarak elde edilen bulguların sentezi yapılmıştır. Yapay zekânın öğrenme deneyimlerini geliştirmede ne tür bir devrim yaratabileceği, eğitim öğretim ortamlarını bireysel ihtiyaçlara göre nasıl uyarlayabileceği ve kurumsal görevleri nasıl kolaylaştırabileceği vurgulanırken, diğer bir açıdan etik ihlaller, veri gizliliği ve potansiyel risklerle ilgili endişeleri de gündeme getirmektedir. Ayrıca bu makalede eğitimde yapay zekâ çalışmalarındaki mevcut sonuçlar tanımlanmakta ve gelecek çalışmalar için aydınlatıcı öneriler sunulmaktadır. Ayrıntılı ve eleştirel bir bakış açısı sunan bu çalışmada yapay zekânın ilk günlerinden son gelişmelerine kadar, eğitimdeki dönüştürücü potansiyelinden. yaratabileceği zorlukları hafifletme stratejileri hakkında alınabilecek önlemlere varan önemli çıkarımlar sunulmuştur. This research comprehensively examines the emergence, historical development, current status, and current effects of artificial intelligence on education. In this study, which is conducted by adopting a traditional literature review, types of artificial intelligence and their application areas in the education sector are meticulously examined and critically read within the scope of the existing literature, and the positive and negative outcomes of the use of artificial intelligence in education are compared by making use of contemporary scientific studies and ongoing debates. A broad academic review was conducted to provide an overview of the role of artificial intelligence applications and results in developing education in the international arena, and the findings were synthesised. While emphasising how AI can revolutionise the development of learning experiences, tailor educational and training environments to individual needs and facilitate institutional tasks, it also raises concerns about ethical violations, data privacy and potential risks. In addition, this article describes the current results of artificial intelligence studies in education and provides enlightening suggestions for future studies. Offering a detailed and critical perspective, this study presents important implications from the early days of artificial intelligence to its recent developments, from its transformative potential in education to precautions that can be taken about strategies to mitigate the challenges it may create.

Anahtar Kelimeler

• Yapay Zekâ
• Eğitimde Yapay Zekâ
• Eğitim Teknolojisi
• Alanyazın Taraması

Etik Beyan

Etik Kurul İzin Belgesi/ Ethics Document: Çalışma bir geleneksel alanyazın taraması olduğu için etik kurul izin belgesine ihtiyaç duyulmamıştır.

From Concept to Classroom: The Discovery of Artificial Intelligence and Its Reflections on Education

Öz

Kaynakça

1. Adalı, E. (2016). Doğal dil işleme. Türkiye Bilişim Vakfı Bilgisayar Bilimleri ve Mühendisliği Dergisi, 5(2).
2. Ahmad, S., Hussain, I., Ahmad, R. ve Din, M. N. U. (2020). Performance based prediction of the students in the physics subject using traditional and machine learning approach at higher education level. International Journal of Innovation in Teaching and Learning (IJITL), 6(1), 174-190. https://doi.org/10. 35993/ijitl.v6i1.997
3. Alam, A. (2021). Possibilities and apprehensions in the landscape of artificial intelligence in education. In 2021 International Conference on Computational Intelligence and Computing Applications (ICCICA) (pp. 1-8). IEEE. https://doi.org/10.1109/ICCICA52458.2021.9697272
4. Arslan, K. (2020). Eğitimde yapay zekâ ve uygulamaları. Batı Anadolu Eğitim Bilimleri Dergisi, 11(1), 71-88.
5. Ateş, E. (2021). Yapay zekâ (Artificial Intelligence). In book: Siber Ansiklopedi: Siber Ortama Çok Disiplinli Bir Yaklaşım (pp.644-647)Publisher: Pegem Akademi.
6. Attwell, G., Bekiaridis, G., Deitmer, L., Perini, M., Roppertz, S., & Tütlys, V. (2020). Artificial intelligence in policies, processes and practices of vocational education and training.
7. Baumeister, R. F., & Leary, M. R. (1997). Writing narrative literature reviews. Review of General Psychology, 1(3), 311-320.
8. Bostrom, N. (2014). Süper zekâ yapay zekâ uygulamaları tehlikeler ve stratejiler. F. Burak Aydar (Çev.). Koç Üniversitesi Yayınları.

9. Chassignol, M., Khoroshavin, A., Klimova, A., & Bilyatdinova, A. (2018). Artificial intelligence trends in education: a narrative overview. Procedia computer science, 136, 16-24.
10. Chen, L., Chen, P. and Lin, Z. (2020) Artificial intelligence in education: A review. IEEE Access, 8, 75264-75278. https://doi.org/10.1109/ACCESS.2020.2988510
11. Chen, X., Zou, D., Xie, H., Cheng, G., & Liu, C. (2022). Two decades of artificial intelligence in education. Educational Technology & Society, 25(1), 28-47.
12. Chounta, I. A., Bardone, E., Raudsep, A., & Pedaste, M. (2021). Exploring teachers’ perceptions of artificial intelligence as a tool to support their practice in Estonian K-12 education. International Journal of Artificial Intelligence in Education, 32(3), 725–755. https://doi.org/10.1007/s40593-021-00243-5
13. Cukurova, M., Miao, X., Brooker, R. (2023). Adoption of artificial intelligence in schools: unveiling factors influencing teachers’ engagement. In: Wang, N., Rebolledo-Mendez, G., Matsuda, N., Santos, O.C., Dimitrova, V. (eds) Artificial Intelligence in Education. AIED 2023. Lecture Notes in Computer Science, vol 13916. Springer, Cham. https://doi.org/10.1007/978-3-031-36272-9_13
14. Deniz, S. & Yıldırım, N. T. (2024). Öğretmenlerin gözünden; alfa Kuşağı, dijital öğrenciler, eğitim teknolojileri ve öğrenmenin geleceği. Erzincan Üniversitesi Eğitim Fakültesi Dergisi, 26(3). https://doi.org/10.17556/erziefd.1433652
15. Dunham, M. H. (2006). Data mining: introductory and advanced topics. Pearson Education India.
16. EDUCAUSE. (2019). Horizon report: 2019 higher education edition. Retrieved from EDUCAUSE Learning initiative and the new media consortium website: https://library.educause.edu/-/media/files/library/2019/4/2019horizonreport.pdf
17. El Shazly R. (2021). Effects of artificial intelligence on English speaking anxiety and speaking performance: A case study. Expert Systems. 38:e12667. https://doi.org/10.1111/exsy.12667
18. Essel, H.B., Vlachopoulos, D., Tachie-Menson, A., Johnson, E. E. & Baah, P. K. (2022). The impact of a virtual teaching assistant (chatbot) on students' learning in Ghanaian higher education. International Journal of Educational Technology in Higher Education, 19, 57. https://doi.org/10.1186/s41239-022-00362-6
19. Florea, A. M., & Radu, S. (2019). Artificial intelligence and education. 22nd International Conference on Control Systems and Computer Science (CSCS), 381–382. https://doi.org/10.1109/CSCS.2019.00069
20. Gall, M. D., Borg, W. R., & Gall, J. P. (1996). Educational research: an introduction. New York: Longman.
21. Giarratano, J. & Riley, G. (1989). Expert systems: principles and programming, Fourth edi. course technology.
22. Gücük, G. (2022). Perception of English language learners and teachers towards the use of artifıcial intelligence in the language classroom. (Yayımlanmamış yüksek lisans tezi). İstanbul Aydın Üniversitesi, Yabancı Diller Eğitimi Enstitüsü. İstanbul.
23. Haugeland, J. (1989). Artificial intelligence: the very idea. MIT press. https://japan.kantei.go.jp/97_abe/statement/201703/1221682_11573.html
24. Hawes, D., & Arya, A. (2023). Technology solutions to reduce anxiety and increase cognitive availability in students. IEEE Transactions on Learning Technologies, 16(2), 278-291. https://doi.org/10. 1109/TLT.2023.3239985
25. Ho, C. C., Lee, H. L., Lo, W. K. ve Lui, K. F. A. (2018). Developing a chatbot for college student programme advisement," 2018 International Symposium on Educational Technology (ISET), Osaka, Japan, 2018, pp. 52-56, https://doi.org/10.1109/ISET.2018.00021
26. Hou, J., Li, Z., & Liu, G. (2022). Macro education approach to improve learning interest under the background of artificial intelligence. Wireless Communications and Mobile Computing, 4295887. https://doi.org/10.1155/2022/4295887
27. Jin, Sung-Hee & Im, Kowoon & Yoo, Mina & Roll, Ido & Seo, Kyoungwon. (2023). Supporting students’ self-regulated learning in online learning using artificial intelligence applications. International Journal of Educational Technology in Higher Education. 20. 10.1186/s41239-023-00406-5.
28. Joshi, S., Rambola, R. K. and Churi, P. (2021). Evaluating artificial intelligence in education for next generation, Journal of Physics: Conference Series, 1714 (1), https://doi.org/10.1088/17426596/1714/1/012039
29. Kal, M. S. (2024). Yapay zekâ doğal dil işleme robotu ile yürütülen argümantasyon sürecinin incelenmesi. (Yayımlanmamış yüksek lisans tezi). Marmara Üniversitesi, Eğitim Bilimleri Enstitüsü. İstanbul.
30. Karaosmanoğlu, G. (2007). Visual prolog programı ve zeki öğretim sistemleri. (Yayımlanmamış Yüksek Lisans Tezi) Haliç Üniversitesi, Fen Bilimleri Enstitüsü. İstanbul.
31. Kewalramani, S., Kidman, G., & Palaiologou, I. (2021). Using artificial intelligence (AI)-interfaced robotic toys in early childhood settings: a case for children’s inquiry literacy. European Early Childhood Education Research Journal, 29(5), 652–668. https://doi.org/10.1080/1350293X.2021.1968458
32. Kidiyo, K. & Joseph, R. (2007). An overview of advances of pattern recognition systems in computer vision. Vision Systems, Advanced Robotic Systems, pp.26.
33. Kučak, D., Juričić, V. ve Đambić, G. (2018). Machine learning in education-a survey of current research trends. Annals of DAAAM & Proceedings, 29, 406-410. https://doi.org/10.2507/29th.daaam.proceedings.059
34. Kurzweil, R. (ed.) (1990). The age of ıntelligent machines. MIT Press.
35. Lindler, A., & Romeike, R. (2019). Teachers’ perspectives on artificial intelligence. In 12th International conference on informatics in schools, ‘Situation, evaluation and perspectives’,ISSEP.https://www.researchgate.net/publication/337716601_Teachers%27_Perspectives_on_Artificial_Intelligence
36. Mallillin, L. L. D. (2024). Artificial intelligence (AI) towards students’ academic performance. Innovare Journal of Education, 12(4), 16–21. https://doi.org/10.22159/ijoe.2024v12i4.51665
37. Marr, B. (2016). What everyone should know about cognitive computing. Forbes, https://www.forbes.com
38. Nabiyev, V. & Erümit, A.K. (2022). Yapay zekânın temelleri. V. Nabiyev ve A.K. Erümit (Editörler), eğitimde yapay zekâ, kuramdan uygulamaya, 3. Baskı içinde (s. 1-35). Ankara: PEGEM Akademi.
39. Nghi, T.T., Phuc, T.H. & Thang, N.T. (2019). Applying Al chatbot for teaching a foreign language: An empirical research. International Journal of Scientific & Technology Research, 8(12), 897-902. https://www.researchgate.net/publication/337965319_Applying_Ai_Chatbot_For_Teaching_A_Foreign_Language_An_Empirical_Research
40. Nilsson, N. J. (2019). Yapay zekâ geçmişi ve geleceği. (2. Baskı) Boğaziçi Üniversitesi Yayınevi, Sarıyer, İstanbul.
41. Nilsson, Nills Johan. (1998). Artificial intelligence: A New Synthesis. Morgan Kaufmann.
42. Okkay, İpek. & Bal, Fatih. (2021). Kognitif sistem, yapay zekâ ve insan ilişkisi. Akademik Sosyal Araştırmalar Dergisi, Yıl: 8, Sayı: 50, Şubat 2021, s. 92-103 ISSN: 2149-082. http://dx.doi.org/10.29228/SOBIDER.49342
43. Owan, V., Abang, K., Idika, D. & Bassey, B. (2023). Exploring the potential of artificial intelligence tools in educational measurement and assessment. Eurasia Journal of Mathematics, Science and Technology Education. 19. http://dx.doi.org/10.29333/ejmste/13428
44. Öcal, E. E., Atay, E., Önsüz, M. F., Algın, F., vd. (2020). Tıp fakültesi öğrencilerinin tıpta yapay zekâ ile ilgili düşünceleri. Türk Tıp Öğrencileri Araştırma Dergisi, 2(1), 9-16. https://dergipark.org.tr/tr/pub/toad/issue/54158/690620#article_cite
45. Özer, S., Sancar Yazıcı, A. ., Akgül, S., & Yıldırım, A. (2023). Okullarda yapay zekâ kullanımına ilişkin öğretmen görüşleri. Ulusal Eğitim Dergisi, 3(10), 1776–1794. https://doi.org/10.5281/zenado.10085759
46. Realizing Society 5.0. (2024). The government of Japan, (erişim 12 Mart, 2021), https://www.japan.go.jp/abenomics/
47. Sakulkueakulsuk, B., Witoon, S., Ngarmkajornwiwat, P., Pataranutaporn, P.,Surareungchai, W., Pataranutaporn, P., & Subsoontorn, P. (2018). Kids making AI: integrating Machine Learning, Gamification, and Social Context in STEM Education. 2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE) Teaching, Assessment, and Learning for Engineering (TALE), (s. 1005-1010).
48. Saracel, N. & Aksoy, İ. (2020). Toplum 5.0: Süper akıllı toplum. Sosyal Bilimler Araştırma Dergisi, 9(2), 26-34.
49. Sargın, A. & Göçen, A. (2020). Çocuklar için yapay zekâ. Urfa STEM ve Bilim Merkezi Şanlıurfa İl Milli Eğitim Müdürlüğü e-kitap. ISBN 978-605-06822-0-5.
50. Schönberger, V. M. & Kenneth, C. (2013). Büyük veri - yaşama, çalışma ve düşünme şeklimizi dönüştürecek bir devrim. Çev. Banu Erol. İstanbul: Paloma.
51. Smith, A. S. G., Blandford, A., & ML, T. (1999). Application of machine learning algorithms in adaptive web-based information systems (Doctoral dissertation, Middlesex University).
52. Somyürek, S. (2009). Uyarlanabilir öğrenme ortamları: Eğitsel hiper ortam tasarımında yeni bir paradigma. Bilişim Teknolojileri Dergisi, 2(1).
53. Soysal, M., & Pamuk, N. S. (2018). Yeni sanayi devrimi endüstri 4.0 üzerine bir inceleme. Verimlilik Dergisi, 1, 41-66. Su, J., & Zhong, Y. (2022). Artificial Intelligence (AI) in early childhood education: Curriculum design and future directions. Comput. Educ. Artif. Intell., 3, 100072.
54. Şenel, M. (2024). Examining teachers' views on the use of artificial ıntelligence (AI) in education. i-manager's Journal of Educational Technology. 20. 13. https://doi.org/10.26634/jet.20.4.20237
55. Tahiru, F. (2021). AI in education: a systematic literature review. Journal of Cases on Information Technology (JCIT), 23(1), 1-20. http://doi.org/10.4018/JCIT.2021010101
56. Tedre, M., Toivonen, T., Kahila, J., Vartiainen, H., Valtonen, T., Jormanainen, I., & Pears, A. (2021). Teaching machine learning in K–12 classroom: Pedagogical and technological trajectories for artificial intelligence education. IEEE, 9, https://doi.org/110558-110572
57. Tektaş, M. (2010). Web tabanlı yapay zekâ teknikleri (eğitim simülatörlerinin hazırlanması. Retrieved February 8, 2016, from http://tektasi.net/wpcontent/uploads/2014/01/bapko_proje_raporu.pdf
58. 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, 701-712.
59. Topal, A. D., Eren, C. D. & Geçer, A. K. (2021). 5. sınıf fen bilimleri dersinde chatbot uygulaması. Education and Information Technologies, 26, 6241–6265. https://doi.org/10.1007/s10639-021-10627-8
60. Tsai, S. C., Chen, C. H., Shiao, Y. T., Ciou, J. S., & Wu, T. N. (2020). Precision education with statistical learning and deep learning: a case study in Taiwan. International Journal of Educational Technology in Higher Education, 17, 1-13.
61. Uygun, D. (2024). Teachers' perspectives on artificial intelligence in education. Advances in Mobile Learning Educational Research. 4(1). 931-939. https://doi.org/10.25082/AMLER.2024.01.005
62. Wang, T., Lund, B. D., Marengo, A., Pagano, A., Mannuru, N. R., Teel, Z. A., & Pange, J. (2023). Exploring the potential impact of artificial intelligence (AI) on international students in higher education: Generative AI, chatbots, analytics, and international student success. Applied Sciences, 13(11), 6716.
63. Yang, W. (2022). Artificial Intelligence education for young children: Why, what, and how in curriculum design and implementation. Computers and Education: Artificial Intelligence. 3. https://doi.org/10.1016/j.caeai.2022.100061
64. Yuan, Y. (2023). An empirical study of the efficacy of AI chatbots for English as a foreign language learning in primary education. Interactive Learning Environments, 1–16. https://doi.org/10.1080/10494820.2023.2282112
65. Zaiane, O. and Luo, J. (2001). “web usage mining for a better web-based learning environment”, In Proc. Conf. Advanced Technology For Education, Banff, Alberta.
66. Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education – where are the educators? International Journal of Educational Technology in Higher Education, 16(1), 39. https://doi.org/10.1186/s41239-019-0171-0