Araştırma Makalesi
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Determination of the Usage Areas of ChatGPT Type Artificial Intelligence Supported Applications in Open and Distance Learning

Yıl 2025, Cilt: 23 Sayı: 1, 666 - 697
https://doi.org/10.37217/tebd.1576430

Öz

The main purpose of this research is to examine the potential areas of use of the ChatGPT application and the GPT 4 architecture that constitutes its infrastructure in open and distance learning in Türkiye, the difficulties that may be encountered and the possible problems that may arise in line with the opinions of experts and ChatGPT's own conclusions. It is aimed to compare and synthesize expert and ChatGPT opinions with the basic qualitative research design. For this purpose, at least 12 experts who would constitute the study cluster were investigated in terms of how they thought ChatGPT and similar artificial intelligence applications in the field of open and distance learning (a) could be used to solve which problems, (b) what kind of difficulties they foresaw in their use, (c) what kind of problems they thought their use may cause. In addition, it was also tried to observe what kind of similarities and differences there were between the opinions of experts on the use of ChatGPT and similar artificial intelligence applications in the field of open and distance learning, difficulties and problems and the information provided by ChatGPT application on the same subjects. At the end of the interview with the field experts, it was emphasised that the field experts had positive opinions about the use of this new technology and that it had the potential to change the existing habits in learning processes. At the end of the study, it was seen that ChatGPT had the potential to create change and development in open and distance learning processes in the areas of supporting content development, providing personalised feedback, strengthening the assessment and evaluation system, designing interactive learning experiences, and developing adaptive learning paths. However, it was stated that policies and legislation for implementation should be prepared.

Kaynakça

  • Alam, A. (2021). Possibilities and challenges of compounding artificial intelligence in India’s educational landscape. International Journal of Advanced Science and Technology, 29(05), 5077-5094. http://sersc.org/journals/index.php/IJAST/article/view/13910 sayfasından erişilmiştir.
  • AlAfnan, M. A., Dishari, S., Jovic, M., & Lomidze, K. (2023). ChatGPT as an educational tool: Opportunities, challenges, and recommendations for communication, business writing, and composition courses. Journal of Artificial Intelligence and Technology, 3(2), 60-68. https://doi.org/10.37965/jait.2023.0184
  • Alshater, M. (2022). Exploring the role of artificial intelligence in enhancing academic performance: A case study of ChatGPT. SSRN Electronic Journal. http://dx.doi.org/10.2139/ssrn.4312358
  • Atlas, S. (2023). ChatGPT for higher education and professional development: A guide to conversational AI. Independently Published.
  • Aydın, C. H. (2011). Açık ve uzaktan öğrenme: Öğrenci adaylarının bakış açısı. Pegem Akademi.
  • Baidoo-Anu, D. & Owusu-Ansah, L. (2023). Education in the era of generative artificial intelligence (AI): Understanding the potential benefits of ChatGPT in promoting teaching and learning. Journal of AI, 7(1), 52-62. http://dx.doi.org/10.2139/ssrn.4337484
  • Chao, Y. & Jerry, C. W. L. (2022). Design of distance assistance system for ıntelligent education by web-based applications. Mobile Networks and Applications, 27(3), 1174–1185. https://doi.org/10.1007/s11036-022-01943-5
  • Chen, L., Chen, P., & Lin, Z. (2020). Artificial intelligence in education: A review. IEEE Access, 8, 75264-75278. https://doi.org/10.1109/ACCESS.2020.2988510
  • Chen, J. & Lu, H. (2022). Evaluation method of classroom teaching effect under intelligent teaching mode. Mobile Networks and Applications, 27(3), 1262–1270. https://doi.org/10.1007/s11036-022-01946-2
  • Chong-gao, C. & Dawid, P. (2022). Design of action correction assistant system in physical education teaching and training based on .NET platform. Mobile Networks and Applications, 27(3), 1228–1239. https://doi.org/10.1007/s11036-022-01941-7
  • Dwivedi, Y. K., Kshetri, N., Hughes, L., Slade, E. L., Jeyaraj, A., Kar, A. K., …, & Wright, R. (2023). “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy. International Journal of Information Management, 71, 102642. https://doi.org/10.1016/j.ijinfomgt.2023.102642
  • Fan-Long, M. & Ting, Y. (2022). A recognition method of basketball’s shooting trajectory based on transfer learning. Mobile Networks and Applications, 27(3), 1271–1282. https://doi.org/10.1007/s11036-022-01949-z
  • Fergus, S., Botha, M., & Ostovar, M. (2023). Evaluating academic answers generated using ChatGPT. Journal of Chemical Education, 100(4), 1672-1675. https://doi.org/10.1021/acs.jchemed.3c00087
  • Floridi, L. (2023). AI as agency without intelligence: On ChatGPT, large language models, and other generative models. Philosophy & Technology, 36(1), 1-7. https://doi.org/10.1007/s13347-023-00621y
  • Gelb, G. M. & Gelb, B. D. (2007). Internet surveys for trademark litigation: ready or not, here they come. The Trademark Reporter, 97, 1073-1096.
  • Haque, M. U., Dharmadasa, I., Sworna, Z. T., Rajapakse, R. N., & Ahmad, H. (2022). “I think this is the most disruptive technology”: Exploring sentiments of ChatGPT early adopters using Twitter data. arXiv. https://doi.org/10.48550/arXiv.2212.05856
  • Harari, Y. N. (2023). Yuval Noah Harari argues that AI has hacked the operating system of human civilisation. The Economist. https://www.economist.com/byinvitation/2023/04/28/yuval-noah-harari-argues-that-ai-has-hacked-the-operating-systemof-human-civilisation sayfasından erişilmiştir.
  • Hisan, U. K. & Amri, M. M. (2023). ChatGPT and medical education: A double-edged sword. Journal of Pedagogy and Education Science (JPES), 2(1), 71-89. https://doi.org/10.56741/jpes.v2i01.302
  • Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial intelligence in education: Promises and implications for teaching and learning. Center for Curriculum Redesign.
  • Jalil, S., Rafi, S., LaToza, T. D., Moran, K., & Lam, W. (2023). ChatGPT and software testing education: Promises & perils. arXiv. https://doi.org/10.48550/arXiv.2302.03287
  • Jin, L. & Tao, Q. (2022). Distance learning and AI integration: Case studies and perspectives. Distance Education Today, 14(3), 80-92.
  • Jun-yan, T. & Gautam, S. (2022). A decision-making method of intelligent distance online education based on cloud computing. Mobile Networks and Applications, 27(3), 1151–1161. https://doi.org/10.1007/s11036-022-01945-3
  • Kasneci, E., Seßler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., Gasser, U., & Kasneci, G. (2023). ChatGPT for good? On opportunities and challenges of large language models for education. Learning and Individual Differences, 103, 102274.
  • Küçükkambak, S. E. & Armağan, E. (2022). Çevrimiçi ve yüz yüze anket teknikleri ile toplanan verilerin geçerlilik ve güvenilirliklerinin incelenmesi. Aksaray Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 14(4), 397-410. https://doi.org/10.52791/aksarayiibd.938192
  • Lee, E. (2023). Is ChatGPT a false promise? Berkeley Blog. https://blogs.berkeley.edu/2023/03/19/is-chatgpt-a-false-promise/ sayfasından erişilmiştir.
  • Li, Y., Zhu. J., & Fu, W. (2022) Intelligent privacy protection of end user in long distance education, mobile networks and applications. Mobile Networks and Applications, 27(3), 1162–1173. https://doi.org/10.1007/s11036-022-01950-6
  • McGee, R. W. (2023). Political philosophy and ChatGPT. (Working Paper). ResearchGate. https://doi.org/10.13140/RG.2.2.30429.08163
  • Megahed, F. M., Chen, Y. J., Ferris, J. A., Knoth, S., & Jones-Farmer, L. A. (2023). How generative AI models such as ChatGPT can be (mis)used in SPC practice, education, and research? An exploratory study. arXiv. https://doi.org/10.48550/arXiv.2302.10916
  • Merriam, S. B. (2023). Nitel araştırma türleri (F. K. Canbaz & M. Öz, Çev.). S. Turan (Çev. Ed.), Nitel araştırma desen ve uygulaması için bir rehber içinde (s. 21-37). Nobel Akademi.
  • Mitchell, P. & Grogono, P. (1993). Modeling techniques for tutoring systems. Computer Education, 20(1), 55-61.
  • Moore, M. G. (2003). Learner support. American Journal of Distance Education, 17(3), 141-143.
  • Mogali, S. R. (2024). Initial impressions of ChatGPT for anatomy education. Anatomical Sciences Education, 17(2), 444-447. https://doi.org/10.1002/ase.2261
  • Ndunagu, J. N., Jimoh, R. G., Chidiebere, U., & Opeoluwa, G. D. (2022). Enhanced open and distance learning using an artificial ıntelligence (AI)-powered chatbot: A conceptual framework. 5th Information Technology for Education and Development (ITED) içinde (s. 1-4). Abuja, Nigeria, https://doi.org/10.1109/ITED56637.2022.10051575
  • Öntaş, E., Sezer, B., & Okyay, P. (2024). Çevrimiçi veri toplamanın temelleri: Yöntemler ve yaklaşımlar için pratik bir kılavuz. STED, 2(5), 401-414. https://doi.org/10.17942/sted.1430097 Parr, E. (1996). Dropping in and dropping out: An alternative view of attrition. Southern Cross University.
  • Patton, M. Q. (2018). Nitel araştırma ve değerlendirme yöntemleri (M. Bütün & S. Demir, Çev. Ed.). Pegem Akademi.
  • Peng, P. & Weina, F. (2022). A pattern recognition method of person- alized adaptive learning in online education. Mobile Networks and Applications, 27(3), 1186–1198. https://doi.org/10.1007/s11036-022-01942-6
  • Perraton, H. (2020). A theory for distance education. D. Sewart, D. Keegan, & B. Holmberg (Ed.), Distance education: International perspectives içinde (s. 34-45). Routledge.
  • Roberts, R. E. (2020). Qualitative interview questions: guidance for novice researchers. The Qualitative Report, 25(9), 3185-3203. https://doi.org/10.46743/2160-3715/2020.4640
  • Roll, I. & Wylie, R. (2016). Evolution and revolution in artificial ıntelligence in education. Int J Artif Intell Educ, 26, 582–599. https://doi.org/10.1007/s40593-016-0110-3
  • Rudolph, J., Tan, S., & Tan, S. (2023). ChatGPT: Bullshit spewer or the end of traditional assessments in higher education? Journal of Applied Learning & Teaching, 6(1), 342-363. https://doi.org/10.37074/jalt.2023.6.1.9
  • Simon, J. & Burstein, P. (1985). Basic research methods in social sciences. Random.
  • Susnjak, T. (2022). ChatGPT: The end of online exam integrity? arXiv. https://doi.org/10.48550/arXiv.2212.09292
  • Talan, T. & Kalınkara, Y. (2023). The role of artificial ıntelligence in higher education: ChatGPT assessment for anatomy course. Uluslararası Yönetim Bilişim Sistemleri ve Bilgisayar Bilimleri Dergisi, 7(1), 33-40. https://doi.org/10.33461/uybisbbd.1244777
  • Tamayo, P. A., Herrero, A., Martín, J., Navarro, C., & Tránchez, J. M. (2019). Design of a chatbot as a distance learning assistant. Open Praxis, 12(1), 145–153. http://doi.org/10.5944/openpraxis.12.1.1063
  • Thorpe, M. (2010). Rethinking learner support: The challenge of collaborative online learning. Open Learning: The Journal of Open and Distance Learning, 17(2), 105-119.
  • UNESCO. (2019). Artificial intelligence in education: Challenges and opportunities for sustainable development. Working Papers on Education Policy No: 07. ED-2019/WS/8
  • Yıldırım, A. & Şimşek, H. (2013). Sosyal bilimlerde nitel araştırma yöntemleri (9. b.). Seçkin.
  • Yu-bao, S. & Thippa, R. G. (2022). Resource search method of mobile intelligent education system based on distributed hash table. Mobile Networks and Applications, 27(3), 1199–1208. https://doi.org/10.1007/s11036-022-01940-8
  • 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(39), 1-27. https://doi.org/10.1186/s41239-019-0171-0
  • Zhu, J. J., Jiang, J., Yang, M., & Ren, Z. J. (2023). ChatGPT and environmental research. Environmental Science & Technology, 57(46), 17667-17670. https://pubs.acs.org/doi/pdf/10.1021/acs.est.3c01818

Açık ve Uzaktan Öğrenmede ChatGPT Türü Yapay Zekâ Destekli Uygulamaların Kullanım Alanlarının Belirlenmesi

Yıl 2025, Cilt: 23 Sayı: 1, 666 - 697
https://doi.org/10.37217/tebd.1576430

Öz

Bu araştırmanın amacı, ChatGPT uygulamasının ve altyapısını oluşturan GPT 4 mimarisinin Türkiye’de açık ve uzaktan öğrenme alanı için potansiyel kullanım alanlarını, karşılaşılabilecek güçlükleri ve olası sorunları uzman görüşleri ve ChatGPT’nin kendi çıkarımları doğrultusunda incelemektir. Uzman ve ChatGPT görüşlerinin temel nitel araştırma deseni ile karşılaştırılması ve sentezlenmesi amaçlanmıştır. Bu amaç doğrultusunda çalışma kümesini oluşturacak en az 12 uzmanın, açık ve uzaktan öğrenme alanında ChatGPT ve benzeri yapay zekâ uygulamalarının (a) hangi sorunları çözmek için nasıl kullanılabileceğini düşündükleri, (b) kullanımında ne tür güçlüklerle karşılaşılabileceğini öngördükleri, (c) kullanımının ne tür sorunlar ortaya çıkarabileceğini düşündükleri araştırılmıştır. Ayrıca uzmanların açık ve uzaktan öğrenme alanında ChatGPT ve benzeri yapay zekâ uygulamalarının kullanımına, güçlüklere ve sorunlara yönelik görüşleri ile ChatGPT uygulamasının aynı konularda sunduğu bilgiler arasında ne tür benzerlik ve farklılıkların olduğu da gözlemlenmeye çalışılmıştır. Alan uzmanlarıyla yapılan görüşme sonunda alan uzmanlarının bu yeni teknolojinin kullanımına karşın olumlu düşüncelerinin olduğu öğrenme süreçlerinde var olan alışkanlıkları değiştirebilme potansiyelinin olduğu üzerinde durulmuştur. Çalışma sonunda, ChatGPT’nin içerik geliştirmeyi desteklemek, kişiselleştirilmiş geribildirim sağlamak, ölçme değerlendirme sistemini güçlendirmek, etkileşimli öğrenme deneyimleri tasarlamak, uyarlanabilir öğrenme yollarının geliştirilmesi alanlarında açık ve uzaktan öğrenme süreçlerinde değişim ve gelişim yaratma potansiyeli olduğu görülmektedir. Ancak bu konuda yürütülecek politikaların ve uygulamaya dönük mevzuatın hazırlanması gerektiği belirtilmiştir.

Kaynakça

  • Alam, A. (2021). Possibilities and challenges of compounding artificial intelligence in India’s educational landscape. International Journal of Advanced Science and Technology, 29(05), 5077-5094. http://sersc.org/journals/index.php/IJAST/article/view/13910 sayfasından erişilmiştir.
  • AlAfnan, M. A., Dishari, S., Jovic, M., & Lomidze, K. (2023). ChatGPT as an educational tool: Opportunities, challenges, and recommendations for communication, business writing, and composition courses. Journal of Artificial Intelligence and Technology, 3(2), 60-68. https://doi.org/10.37965/jait.2023.0184
  • Alshater, M. (2022). Exploring the role of artificial intelligence in enhancing academic performance: A case study of ChatGPT. SSRN Electronic Journal. http://dx.doi.org/10.2139/ssrn.4312358
  • Atlas, S. (2023). ChatGPT for higher education and professional development: A guide to conversational AI. Independently Published.
  • Aydın, C. H. (2011). Açık ve uzaktan öğrenme: Öğrenci adaylarının bakış açısı. Pegem Akademi.
  • Baidoo-Anu, D. & Owusu-Ansah, L. (2023). Education in the era of generative artificial intelligence (AI): Understanding the potential benefits of ChatGPT in promoting teaching and learning. Journal of AI, 7(1), 52-62. http://dx.doi.org/10.2139/ssrn.4337484
  • Chao, Y. & Jerry, C. W. L. (2022). Design of distance assistance system for ıntelligent education by web-based applications. Mobile Networks and Applications, 27(3), 1174–1185. https://doi.org/10.1007/s11036-022-01943-5
  • Chen, L., Chen, P., & Lin, Z. (2020). Artificial intelligence in education: A review. IEEE Access, 8, 75264-75278. https://doi.org/10.1109/ACCESS.2020.2988510
  • Chen, J. & Lu, H. (2022). Evaluation method of classroom teaching effect under intelligent teaching mode. Mobile Networks and Applications, 27(3), 1262–1270. https://doi.org/10.1007/s11036-022-01946-2
  • Chong-gao, C. & Dawid, P. (2022). Design of action correction assistant system in physical education teaching and training based on .NET platform. Mobile Networks and Applications, 27(3), 1228–1239. https://doi.org/10.1007/s11036-022-01941-7
  • Dwivedi, Y. K., Kshetri, N., Hughes, L., Slade, E. L., Jeyaraj, A., Kar, A. K., …, & Wright, R. (2023). “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy. International Journal of Information Management, 71, 102642. https://doi.org/10.1016/j.ijinfomgt.2023.102642
  • Fan-Long, M. & Ting, Y. (2022). A recognition method of basketball’s shooting trajectory based on transfer learning. Mobile Networks and Applications, 27(3), 1271–1282. https://doi.org/10.1007/s11036-022-01949-z
  • Fergus, S., Botha, M., & Ostovar, M. (2023). Evaluating academic answers generated using ChatGPT. Journal of Chemical Education, 100(4), 1672-1675. https://doi.org/10.1021/acs.jchemed.3c00087
  • Floridi, L. (2023). AI as agency without intelligence: On ChatGPT, large language models, and other generative models. Philosophy & Technology, 36(1), 1-7. https://doi.org/10.1007/s13347-023-00621y
  • Gelb, G. M. & Gelb, B. D. (2007). Internet surveys for trademark litigation: ready or not, here they come. The Trademark Reporter, 97, 1073-1096.
  • Haque, M. U., Dharmadasa, I., Sworna, Z. T., Rajapakse, R. N., & Ahmad, H. (2022). “I think this is the most disruptive technology”: Exploring sentiments of ChatGPT early adopters using Twitter data. arXiv. https://doi.org/10.48550/arXiv.2212.05856
  • Harari, Y. N. (2023). Yuval Noah Harari argues that AI has hacked the operating system of human civilisation. The Economist. https://www.economist.com/byinvitation/2023/04/28/yuval-noah-harari-argues-that-ai-has-hacked-the-operating-systemof-human-civilisation sayfasından erişilmiştir.
  • Hisan, U. K. & Amri, M. M. (2023). ChatGPT and medical education: A double-edged sword. Journal of Pedagogy and Education Science (JPES), 2(1), 71-89. https://doi.org/10.56741/jpes.v2i01.302
  • Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial intelligence in education: Promises and implications for teaching and learning. Center for Curriculum Redesign.
  • Jalil, S., Rafi, S., LaToza, T. D., Moran, K., & Lam, W. (2023). ChatGPT and software testing education: Promises & perils. arXiv. https://doi.org/10.48550/arXiv.2302.03287
  • Jin, L. & Tao, Q. (2022). Distance learning and AI integration: Case studies and perspectives. Distance Education Today, 14(3), 80-92.
  • Jun-yan, T. & Gautam, S. (2022). A decision-making method of intelligent distance online education based on cloud computing. Mobile Networks and Applications, 27(3), 1151–1161. https://doi.org/10.1007/s11036-022-01945-3
  • Kasneci, E., Seßler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., Gasser, U., & Kasneci, G. (2023). ChatGPT for good? On opportunities and challenges of large language models for education. Learning and Individual Differences, 103, 102274.
  • Küçükkambak, S. E. & Armağan, E. (2022). Çevrimiçi ve yüz yüze anket teknikleri ile toplanan verilerin geçerlilik ve güvenilirliklerinin incelenmesi. Aksaray Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 14(4), 397-410. https://doi.org/10.52791/aksarayiibd.938192
  • Lee, E. (2023). Is ChatGPT a false promise? Berkeley Blog. https://blogs.berkeley.edu/2023/03/19/is-chatgpt-a-false-promise/ sayfasından erişilmiştir.
  • Li, Y., Zhu. J., & Fu, W. (2022) Intelligent privacy protection of end user in long distance education, mobile networks and applications. Mobile Networks and Applications, 27(3), 1162–1173. https://doi.org/10.1007/s11036-022-01950-6
  • McGee, R. W. (2023). Political philosophy and ChatGPT. (Working Paper). ResearchGate. https://doi.org/10.13140/RG.2.2.30429.08163
  • Megahed, F. M., Chen, Y. J., Ferris, J. A., Knoth, S., & Jones-Farmer, L. A. (2023). How generative AI models such as ChatGPT can be (mis)used in SPC practice, education, and research? An exploratory study. arXiv. https://doi.org/10.48550/arXiv.2302.10916
  • Merriam, S. B. (2023). Nitel araştırma türleri (F. K. Canbaz & M. Öz, Çev.). S. Turan (Çev. Ed.), Nitel araştırma desen ve uygulaması için bir rehber içinde (s. 21-37). Nobel Akademi.
  • Mitchell, P. & Grogono, P. (1993). Modeling techniques for tutoring systems. Computer Education, 20(1), 55-61.
  • Moore, M. G. (2003). Learner support. American Journal of Distance Education, 17(3), 141-143.
  • Mogali, S. R. (2024). Initial impressions of ChatGPT for anatomy education. Anatomical Sciences Education, 17(2), 444-447. https://doi.org/10.1002/ase.2261
  • Ndunagu, J. N., Jimoh, R. G., Chidiebere, U., & Opeoluwa, G. D. (2022). Enhanced open and distance learning using an artificial ıntelligence (AI)-powered chatbot: A conceptual framework. 5th Information Technology for Education and Development (ITED) içinde (s. 1-4). Abuja, Nigeria, https://doi.org/10.1109/ITED56637.2022.10051575
  • Öntaş, E., Sezer, B., & Okyay, P. (2024). Çevrimiçi veri toplamanın temelleri: Yöntemler ve yaklaşımlar için pratik bir kılavuz. STED, 2(5), 401-414. https://doi.org/10.17942/sted.1430097 Parr, E. (1996). Dropping in and dropping out: An alternative view of attrition. Southern Cross University.
  • Patton, M. Q. (2018). Nitel araştırma ve değerlendirme yöntemleri (M. Bütün & S. Demir, Çev. Ed.). Pegem Akademi.
  • Peng, P. & Weina, F. (2022). A pattern recognition method of person- alized adaptive learning in online education. Mobile Networks and Applications, 27(3), 1186–1198. https://doi.org/10.1007/s11036-022-01942-6
  • Perraton, H. (2020). A theory for distance education. D. Sewart, D. Keegan, & B. Holmberg (Ed.), Distance education: International perspectives içinde (s. 34-45). Routledge.
  • Roberts, R. E. (2020). Qualitative interview questions: guidance for novice researchers. The Qualitative Report, 25(9), 3185-3203. https://doi.org/10.46743/2160-3715/2020.4640
  • Roll, I. & Wylie, R. (2016). Evolution and revolution in artificial ıntelligence in education. Int J Artif Intell Educ, 26, 582–599. https://doi.org/10.1007/s40593-016-0110-3
  • Rudolph, J., Tan, S., & Tan, S. (2023). ChatGPT: Bullshit spewer or the end of traditional assessments in higher education? Journal of Applied Learning & Teaching, 6(1), 342-363. https://doi.org/10.37074/jalt.2023.6.1.9
  • Simon, J. & Burstein, P. (1985). Basic research methods in social sciences. Random.
  • Susnjak, T. (2022). ChatGPT: The end of online exam integrity? arXiv. https://doi.org/10.48550/arXiv.2212.09292
  • Talan, T. & Kalınkara, Y. (2023). The role of artificial ıntelligence in higher education: ChatGPT assessment for anatomy course. Uluslararası Yönetim Bilişim Sistemleri ve Bilgisayar Bilimleri Dergisi, 7(1), 33-40. https://doi.org/10.33461/uybisbbd.1244777
  • Tamayo, P. A., Herrero, A., Martín, J., Navarro, C., & Tránchez, J. M. (2019). Design of a chatbot as a distance learning assistant. Open Praxis, 12(1), 145–153. http://doi.org/10.5944/openpraxis.12.1.1063
  • Thorpe, M. (2010). Rethinking learner support: The challenge of collaborative online learning. Open Learning: The Journal of Open and Distance Learning, 17(2), 105-119.
  • UNESCO. (2019). Artificial intelligence in education: Challenges and opportunities for sustainable development. Working Papers on Education Policy No: 07. ED-2019/WS/8
  • Yıldırım, A. & Şimşek, H. (2013). Sosyal bilimlerde nitel araştırma yöntemleri (9. b.). Seçkin.
  • Yu-bao, S. & Thippa, R. G. (2022). Resource search method of mobile intelligent education system based on distributed hash table. Mobile Networks and Applications, 27(3), 1199–1208. https://doi.org/10.1007/s11036-022-01940-8
  • 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(39), 1-27. https://doi.org/10.1186/s41239-019-0171-0
  • Zhu, J. J., Jiang, J., Yang, M., & Ren, Z. J. (2023). ChatGPT and environmental research. Environmental Science & Technology, 57(46), 17667-17670. https://pubs.acs.org/doi/pdf/10.1021/acs.est.3c01818
Toplam 50 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Yükseköğretim Politikaları, Yükseköğretim Çalışmaları (Diğer)
Bölüm Makaleler
Yazarlar

İrem Erdem Aydın 0000-0003-3618-4123

Hasan Çalışkan 0000-0002-2369-918X

İlker Usta 0000-0002-3549-1511

Erken Görünüm Tarihi 7 Nisan 2025
Yayımlanma Tarihi
Gönderilme Tarihi 30 Ekim 2024
Kabul Tarihi 19 Şubat 2025
Yayımlandığı Sayı Yıl 2025 Cilt: 23 Sayı: 1

Kaynak Göster

APA Erdem Aydın, İ., Çalışkan, H., & Usta, İ. (2025). Açık ve Uzaktan Öğrenmede ChatGPT Türü Yapay Zekâ Destekli Uygulamaların Kullanım Alanlarının Belirlenmesi. Türk Eğitim Bilimleri Dergisi, 23(1), 666-697. https://doi.org/10.37217/tebd.1576430

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