A Qualitative Study on Doctoral Students’ Use of Artificial Intelligence

Yıl 2025, Cilt: 8 Sayı: 1, 36 - 53, 20.03.2025

Emine Aruğaslan

Öz

Artificial intelligence is increasingly being integrated into the education sector, bringing about significant changes in teaching and learning processes. This growing influence underscores the need for a thorough investigation into the effective use, potential benefits, and possible challenges associated with Artificial intelligence tools in education. This study aimed to explore doctoral students’ experiences and perspectives on the use of Artificial intelligence tools in education. Adopting a qualitative research design, the study included 12 doctoral students selected through a purposive sampling method. Data were analyzed using content analysis, resulting in the identification of 6 main categories and 26 themes. These categories included “reasons for preference,” “general advantages,” “advantages in education,” “challenges in educational use,” “difficulties encountered,” and “contributions to personal and professional development.” The findings revealed that Artificial intelligence tools are primarily preferred for their accessibility, practicality, and speed, but concerns about information reliability, ethical issues, and plagiarism also emerged. This study provides a comprehensive insight into the role and impact of artificial intelligence in education from the perspective of students, highlighting the opportunities and risks it presents in learning processes.

Anahtar Kelimeler

artificial intelligence tools, doctoral students, user experiences, online learning

Etik Beyan

The study was conducted with the ethics committee approval of Isparta University of Applied Sciences, Scientific Research and Publication Ethics Committee (Date 19.01.2024, Decision Number 178/4).

Doktora Öğrencilerinin Yapay Zeka Kullanımı Üzerine Nitel Bir Çalışma

Öz

Yapay zekâ, eğitim sektöründe giderek daha yaygın bir şekilde kullanılmakta ve öğretme-öğrenme süreçlerinde köklü değişiklikler yaratmaktadır. Bu durum, yapay zekâ araçlarının hem eğitimdeki potansiyel avantajlarını hem de olası sakıncalarını inceleme ihtiyacını ortaya çıkarmaktadır. Bu çalışma, doktora öğrencilerinin yapay zekâ araçlarını eğitimde nasıl kullandıklarını, bu araçlara yönelik deneyim ve görüşlerini derinlemesine ele almak amacıyla tasarlanmıştır. Araştırma, nitel araştırma deseniyle gerçekleştirilmiş, uygun örnekleme yöntemiyle belirlenen 12 doktora öğrencisi de araştırmanın katılımcıları olarak belirlenmiştir. Veriler içerik analizi yöntemiyle incelenmiş ve sonuç olarak 6 kategori ve 26 tema oluşturulmuştur. Bu kategoriler yapay zekâ kullanımına yönelik olarak, “tercih nedenler,” “genel avantajlar,” “eğitimdeki avantajlar,” “eğitimde kullanımına yönelik sakıncalar,” “karşılaşılan zorluklar” ve “kişisel-mesleki gelişime katkılar” şeklinde belirlenmiştir. Bulgular, yapay zekâ araçlarının kolay erişilebilirlik, pratiklik ve hız gibi nedenlerle tercih edildiğini, ancak bilgi güvenilirliği, etik sorunlar ve intihal gibi sakıncalarının da bulunduğunu göstermiştir. Bu kapsamda, yapay zekânın eğitimdeki rolü ve etkisi öğrencilerin gözünden değerlendirilmiş ve bu teknolojinin öğrenme süreçlerine getirdiği fırsatlar ve riskler detaylı bir şekilde ortaya konulmuştur.

Anahtar Kelimeler

yapay zeka araçları, doktora öğrencileri, kullanıcı deneyimleri, çevrimiçi öğrenme

Etik Beyan

Çalışma, Isparta Uygulamalı Bilimler Üniversitesi, Bilimsel Araştırma ve Yayın Etiği Kurulundan, etik kurul izni (19.01.2024 Tarih, 178/4 Karar Numaralı) alınarak yapılmıştır.

Kaynakça

• 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
• Alawida, M., Mejri, S., Mehmood, A., Chikhaoui, B., & Isaac Abiodun, O. (2023). A comprehensive study of ChatGPT: advancements, limitations, and ethical considerations in natural language processing and cybersecurity. Information, 14(8), 462. https://doi.org/10.3390/info14080462
• Almasri, F. (2024). Exploring the impact of artificial intelligence in teaching and learning of science: A systematic review of empirical research. Research in Science Education, 54(5), 977-997. https://doi.org/10.1007/s11165-024-10176-3
• AL-Sa’di A., & Miller, D. (2023). Exploring the impact of artificial intelligence language model ChatGPT on the user experience. International Journal of Technology, Innovation and Management, 3(1), 1-8. Erişim adresi: https://www.journals.gaftim.com/index.php/ijtim/article/view/195/108
• Anwar, A., Rehman, I. U., Nasralla, M. M., Khattak, S. B. A., & Khilji, N. (2023). Emotions matter: A systematic review and meta-analysis of the detection and classification of students’ emotions in stem during online learning. Education Sciences, 13(9), 914. https://doi.org/10.3390/educsci13090914
• Bansal, G., Chamola, V., Hussain, A., Guizani, M., & Niyato, D. (2024). Transforming conversations with AI—a comprehensive study of ChatGPT. Cognitive Computation, 1-24. https://doi.org/10.1007/s12559-023-10236-2
• Barrot, J. S. (2024a). Google bard as an automated written corrective feedback tool: Possibilities and drawbacks. TESOL Journal, e805, 1-4. https://doi.org/10.1002/tesj.805
• Barrot, J. S. (2024b). Leveraging Google Gemini as a Research Writing Tool in Higher Education. Technology, Knowledge and Learning, 1-8. https://doi.org/10.1007/s10758-024-09774-x
• Bezzina, S., & Dingli, A. (2023, July). Rethinking gamification through artificial intelligence. International Conference on Human-Computer Interaction içinde (s. 252-263). Cham: Springer Nature Switzerland.
• Bilad, M. R., Yaqin, L. N., & Zubaidah, S. (2023). Recent progress in the use of artificial intelligence tools in education. Jurnal Penelitian dan Pengkajian Ilmu Pendidikan: e-Saintika, 7(3), 279-314. https://doi.org/10.36312/esaintika.v7i3.1377
• Bozkurt, A. (2023). ChatGPT, Üretken Yapay Zeka ve Algoritmik Paradigma Değişikliği. Alanyazın (CRES Journal), 4(1), 63-72. https://doi.org/10.59320/alanyazin.1283282
• Chaudhry, M. A., & Kazim, E. (2022). Artificial Intelligence in Education (AIEd): A high-level academic and industry note 2021. AI and Ethics, 2(1), 157-165. https://doi.org/10.1007/s43681-021-00074-z
• Chan, C. K. Y., & Hu, W. (2023). Students’ voices on generative AI: Perceptions, benefits, and challenges in higher education. International Journal of Educational Technology in Higher Education, 20(1), 1-18. https://doi.org/10.1186/s41239-023-00411-8
• 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
• Çınar Yağcı, Ş., & Aydın Yıldız, T. (2023). ChatGPT, yabancı dil öğrencisinin güvenilir yapay zekâ sohbet arkadaşı mıdır?. RumeliDE Dil Ve Edebiyat Araştırmaları Dergisi, 2023(37), 1315-1333. https://doi.org/10.29000/rumelide.1407539
• Çivril, H. (2023). Çevrimiçi öğrenme ortamlarında uyarlanabilir oyunlaştırma. H. Erol (Ed.), Eğitim bilimleri alanında uluslararası araştırmalar XVII içinde, (s. 29-45). İstanbul: Eğitim Yayınevi.
• Dogan, M. E., Goru Dogan, T., & Bozkurt, A. (2023). The use of artificial intelligence (AI) in online learning and distance education processes: A systematic review of empirical studies. Applied Sciences, 13(5), 3056. https://doi.org/10.3390/app13053056
• Edwards-Fapohunda, M. O., & Adediji, M. A. (2024). Sustainable development of distance learning in continuing adult education: The impact of artificial intelligence. IRE Journals, 8(1), 113-118. Erişim adresi: https://www.irejournals.com/formatedpaper/1706017.pdf
• Fitria, T. N. (2021, December). Artificial intelligence (AI) in education: Using AI tools for teaching and learning process. Prosiding Seminar Nasional & Call for Paper STIE AAS içinde (s. 134-147). Erişim adresi: https://prosiding.stie-aas.ac.id/index.php/prosenas/article/view/106/104
• Gligorea, I., Cioca, M., Oancea, R., Gorski, A. T., Gorski, H., & Tudorache, P. (2023). Adaptive learning using artificial intelligence in e-learning: a literature review. Education Sciences, 13(12), 1216. https://doi.org/10.3390/educsci13121216
• Gujjula, R., & Sanghera, K. (2023). Ethical considerations and data privacy in ai education. Journal of Student-Scientists’ Research, 5(2023). https://doi.org/10.13021/jssr2023.3958
• Halkiopoulos, C., & Gkintoni, E. (2024). Leveraging AI in E-Learning: Personalized Learning and Adaptive Assessment through Cognitive Neuropsychology—A Systematic Analysis. Electronics, 13(18), 3762. https://doi.org/10.3390/electronics13183762
• Hashem, R., Ali, N., El Zein, F., Fidalgo, P., & Khurma, O. A. (2024). AI to the rescue: Exploring the potential of ChatGPT as a teacher ally for workload relief and burnout prevention. Research & Practice in Technology Enhanced Learning, 19. https://doi.org/10.58459/rptel.2024.19023
• Huang, J., Saleh, S., & Liu, Y. (2021). A review on artificial intelligence in education. Academic Journal of Interdisciplinary Studies, 10(3). https://doi.org/10.36941/ajis-2021-0077
• Hwang, G. J., Xie, H., Wah, B. W., & Gašević, D. (2020). Vision, challenges, roles and research issues of Artificial Intelligence in Education. Computers and Education: Artificial Intelligence, 1(100001), 1-5. https://doi.org/10.1016/j.caeai.2020.100001
• Jiang, F., Jiang, Y., Zhi, H., Dong, Y., Li, H., Ma, S., ... & Wang, Y. (2017). Artificial intelligence in healthcare: past, present and future. Stroke and Vascular Neurology, 2(4), 230-243. Erişim adresi: https://svn.bmj.com/content/svnbmj/2/4/230.full.pdf
• Kaplan, A., & Haenlein, M. (2019). Siri, Siri, in my hand: Who’s the fairest in the land? On the interpretations, illustrations, and implications of artificial intelligence. Business horizons, 62(1), 15-25. https://doi.org/10.1016/j.bushor.2018.08.004
• Khakpour, A., & Colomo-Palacios, R. (2021). Convergence of gamification and machine learning: a systematic literature review. Technology, Knowledge and Learning, 26(3), 597-636. https://doi.org/10.1007/s10758-020-09456-4
• Kok, J. N., Boers, E. J., Kosters, W. A., Van der Putten, P., & Poel, M. (2009). Artificial intelligence: definition, trends, techniques, and cases. J. N. Kok (Ed.), Artificial intelligence içinde, (s. 1-20). Oxford: Eolss Publishers. Erişim adresi: https://www.eolss.net/Sample-Chapters/C15/E6-44.pdf
• Kuhail, M. A., Alturki, N., Alramlawi, S., & Alhejori, K. (2023). Interacting with educational chatbots: A systematic review. Education and Information Technologies, 28(1), 973-1018. https://doi.org/10.1007/s10639-022-11177-3
• Labadze, L., Grigolia, M., & Machaidze, L. (2023). Role of AI chatbots in education: systematic literature review. International Journal of Educational Technology in Higher Education, 20(2023), 1-17. https://doi.org/10.1186/s41239-023-00426-1
• Lampou, R. (2023). The integration of artificial intelligence in education: Opportunities and challenges. Review of Artificial Intelligence in Education, 4,(2023), 1-12. https://doi.org/10.37497/rev.artif.intell.educ.v4i00.15
• Miles, M. ve Huberman, A. (1994). Qualitative data analysis. New Delhi: SAGE Publications.
• Neo, M., Lee, C. P., Tan, H. Y. J., Neo, T. K., Tan, Y. X., Mahendru, N., & Ismat, Z. (2022). Enhancing students’ online learning experiences with artificial intelligence (AI): The MERLIN project. International Journal of Technology, 13(5), 1023-1034. https://doi.org/10.14716/ijtech.v13i5.5843
• 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
• Okonkwo, C. W., & Ade-Ibijola, A. (2021). Chatbots applications in education: A systematic review. Computers and Education: Artificial Intelligence, 2, (100033), 1-10. https://doi.org/10.1016/j.caeai.2021.100033
• Özkara, B. Ö. (2021). Determining the optimal duration of a single lecture in distance education using facial analysis of ınstructors. Turkish Online Journal of Educational Technology, 20(2), 35-43.
• Pannu, A. (2015). Artificial intelligence and its application in different areas. Artificial Intelligence, 4(10), 79-84.
• Ouyang, F., Zheng, L., & Jiao, P. (2022). Artificial intelligence in online higher education: A systematic review of empirical research from 2011 to 2020. Education and Information Technologies, 27(6), 7893-7925. https://doi.org/10.1007/s10639-022-10925-9
• Siemens, G. (2013). Learning analytics: The emergence of a discipline. American Behavioral Scientist, 57(10), 1380-1400. https://doi.org/10.1177/0002764213498851
• Seo, K., Tang, J., Roll, I., Fels, S., & Yoon, D. (2021). The impact of artificial intelligence on learner–instructor interaction in online learning. International Journal of Educational Technology in Higher Education, 18, 1-23. https://doi.org/10.1186/s41239-021-00292-9
• Skjuve, M., Følstad, A., & Brandtzaeg, P. B. (2023, July). The user experience of ChatGPT: findings from a questionnaire study of early users. Proceedings of the 5th international conference on conversational user interfaces içinde (s. 1-10). https://doi.org/10.1145/3571884.3597144
• Tapan Broutin, M. S. (2024). Exploring Mathematics Teacher Candidates’ Instrumentation Process of Generative Artificial Intelligence for Developing Lesson Plans. Yükseköğretim Dergisi, 14(1), 165-176. https://doi.org/10.53478/yuksekogretim.1347061
• Tonguç, G., & Ozkara, B. O. (2020). Automatic recognition of student emotions from facial expressions during a lecture. Computers & Education, 148, 103797, 1-12. https://doi.org/10.1016/j.compedu.2019.103797
• Yıldırım, A., & Şimşek, H. (2011). Sosyal bilimlerde nitel araştırma yöntemleri (8. Baskı). Ankara: Seçkin.
• Verma, M. (2018). Artificial intelligence and its scope in different areas with special reference to the field of education. International Journal of Advanced Educational Research, 3(1), 5-10. Erişim adresi: https://files.eric.ed.gov/fulltext/ED604401.pdf
• Wollny, S., Schneider, J., Di Mitri, D., Weidlich, J., Rittberger, M., & Drachsler, H. (2021). Are we there yet?-a systematic literature review on chatbots in education. Frontiers in artificial intelligence, 4(2021), 1-18. https://doi.org/10.3389/frai.2021.654924
• Yadegaridehkordi, E., Noor, N. F. B. M., Ayub, M. N. B., Affal, H. B., & Hussin, N. B. (2019). Affective computing in education: A systematic review and future research. Computers & Education, 142, 103649. https://doi.org/10.1016/j.compedu.2019.103649
• Yim, I. H. Y., & Su, J. (2024). Artificial intelligence (AI) learning tools in K-12 education: A scoping review. Journal of Computers in Education, 1-39. https://doi.org/10.1007/s40692-023-00304-9
• 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), 1-27. https://doi.org/10.1186/s41239-019-0171-0