Araştırma Makalesi
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Artificial Intelligence in Higher Education: Student Attitudes and Academician Perspectives

Yıl 2025, Cilt: 10 Sayı: 26, 132 - 153, 28.02.2025
https://doi.org/10.25204/iktisad.1588001

Öz

This research aims to examine student attitudes and academic perspectives regarding the use of artificial intelligence in higher education through a mixed-method approach. Data was collected from 400 undergraduate students through surveys and semi-structured interviews were conducted with 10 academics. Quantitative findings revealed positive student attitudes toward AI, with students reporting moderate competency in using AI tools, primarily for creative writing, image generation, and language learning. Students highlighted advantages such as personalized learning opportunities and easier understanding of complex topics, while expressing concerns about educational inequalities and misinformation risks. Qualitative findings showed academics maintaining both positive and cautious stances toward AI technologies. Academics recognized AI's potential in research, data analysis, and educational support, while expressing concerns about the weakening of basic skills and data security. They anticipate a comprehensive transformation in higher education and emphasize the need for a thorough approach to AI's effective and ethical use. The research concludes that while AI integration in higher education is inevitable, institutional policies and regulations are essential for its effective and ethical implementation.

Kaynakça

  • Al-Zahrani, A. M. ve Alasmari, T. M. (2024). Exploring the impact of artificial intelligence on higher education: The dynamics of ethical, social, and educational implications. Humanities and Social Sciences Communications, 11(1), 1-12. https://doi.org/10.1057/s41599-024-03432-4
  • Arif, A. (2023). Investigating students' attitudes & trust in AI during COVID-19. Journal of Student Research, 12(3), 1-12. https://doi.org/10.47611/jsrhs.v12i3.5015
  • Bates, T., Cobo, C., Mariño, O. ve Wheeler, S. (2020). Can artificial intelligence transform higher education?. International Journal of Educational Technology in Higher Education, 17, 1-12. https://doi.org/10.1186/s41239-020-00218-x
  • Bobrytska, V. I., Krasylnykova, H. V., Beseda, N. A. ve Smirnova, I. M. (2024). Artificial intelligence (AI) in Ukrainian higher education: A comprehensive study of stakeholder attitudes, expectations and concerns. International Journal of Learning, Teaching and Educational Research, 23(1), 1-18. https://doi.org/10.26803/ijlter.23.1.20
  • Chatterjee, S. ve Bhattacharjee, K. K. (2020). Adoption of artificial intelligence in higher education: A quantitative analysis using structural equation modelling. Education and Information Technologies, 25, 3443-3463. https://doi.org/10.1007/s10639-020-10159-7
  • Chu, H., Tu, Y. ve Yang, K. (2022). Roles and research trends of artifcial intelligence in higher education: A systematic review of the top 50 most-cited articles. Australasian Journal of Educational Technology, 38(3), 22–42. https://doi.org/10.14742/ajet.7526
  • Creswell, J. W. ve Clark, V. L. P. (2017). Designing and conducting mixed methods research. Sage Publications.
  • Crompton, H. ve Burke, D. (2023). Artifcial intelligence in higher education: the state of the feld. International Journal of Educational Technology in Higher Education, (20), 8. https://doi.org/10.1186/s41239-023-00392-8
  • Dhawan, S. ve Batra, G. (2020). Artificial intelligence in higher education: Promises, perils, and perspective. Expanding Knowledge Horizon. OJAS, 11, 11-22.
  • Glaser, B. ve Strauss, A. (2017). Discovery of grounded theory: Strategies for qualitative research. Routledge. https://doi.org/10.4324/9780203793206
  • Göksel, N. ve Bozkurt, A. (2019). Artificial intelligence in education: Current insights and future perspectives. S. Şişman-Uğur ve G. Kurubacak (Ed.), Handbook of research on learning in the age of transhumanism içinde (s. 224-236). IGI Global. https://doi.org/10.4018/978-1-5225-8431-5.ch014
  • Kaya, F., Aydin, F., Schepman, A., Rodway, P., Yetişensoy, O. ve Demir-Kaya, M. (2022). The roles of personality traits, al anxiety, and demographic factors in attitudes toward artificial intelligence. International Journal of Human–Computer Interaction, 1-18. https://doi.org/10.1080/10447318.2022.2151730
  • Khlaif, Z. N., Ayyoub, A., Hamamra, B. ve Bensalem, E. (2024). University teachers' views on the adoption and integration of generative AI tools for student assessment in higher education. Education Sciences, 14(10), 1090. https://doi.org/10.3390/educsci14101090
  • Kuleto, V., Ilić, M., Dumangiu, M., Ranković, M., Martins, O. M., Păun, D. ve Mihoreanu, L. (2021). Exploring opportunities and challenges of artificial intelligence and machine learning in higher education institutions. Sustainability, 13(18), 10424. https://doi.org/10.3390/su131810424
  • Ma, D., Akram, H. ve Chen, I. H. (2024). Artificial intelligence in higher education: A cross-cultural examination of students' behavioral intentions and attitudes. International Review of Research in Open and Distributed Learning, 25(3), 1-22. https://doi.org/10.19173/irrodl.v25i3.7703
  • Mah, D. K. ve Groß, N. (2024). Artificial intelligence in higher education: exploring faculty use, self-efficacy, distinct profiles, and professional development needs. International Journal of Educational Technology in Higher Education, 21(1), 1-24. https://doi.org/10.1186/s41239-024-00490-1
  • McGrath, C., Pargman, T. C., Juth, N. ve Palmgren, P. J. (2023). University teachers' perceptions of responsibility and artificial intelligence in higher education-An experimental philosophical study. Computers and Education: Artificial Intelligence, 4, 100139. https://doi.org/10.1016/j.caeai.2023.100139
  • Miles, M, B. ve Huberman, A. M. (1994). Qualitative data analysis: An expanded sourcebook. Sage Publications.
  • Ocaña-Fernández, Y., Valenzuela-Fernández, L. A. ve Garro-Aburto, L. L. (2019). Artificial intelligence and its implications in higher education. Journal of Educational Psychology, 7(2), 553-568. https://doi.org/10.20511/pyr2019.v7n2.274
  • Ouyang, F., Zheng, L. ve Jiao, P. (2022). Artifcial intelligence in online higher education: A systematic review of empirical research from 2011–2020. Education and Information Technologies, 27, 7893–7925. https://doi.org/10.1007/s10639-022-10925-9
  • Pisica, A. I., Edu, T., Zaharia, R. M. ve Zaharia, R. (2023). Implementing artificial intelligence in higher education: Pros and cons from the perspectives of academics. Societies, 13(5), 118. https://doi.org/10.3390/soc13050118
  • Popenici, S. A. ve Kerr, S. (2017). Exploring the impact of artificial intelligence on teaching and learning in higher education. Research and Practice in Technology Enhanced Learning, 12(1), 22. https://doi.org/10.1186/s41039-017-0062-8
  • Rodway, P. ve Schepman, A. (2023). The impact of adopting AI educational technologies on projected course satisfaction in university students. Computers and Education: Artificial Intelligence, 5, 100150. https://doi.org/10.1016/j.caeai.2023.100150
  • Schepman, A. ve Rodway, P. (2020). Initial validation of the general attitudes towards Artificial Intelligence Scale. Computers in Human Behavior Reports, 1, 100014. https://doi.org/10.1016/j.chbr.2020.100014
  • Şahin, M. G. ve Yıldırım, Y. (2024). The general attitudes towards artificial intelligence (GAAIS): A meta-analytic reliability generalization study. International Journal of Assessment Tools in Education, 11(2), 303-319. https://doi.org/10.21449/ijate.1369023
  • Tekirdağ Namık Kemal Üniversitesi. (2024, 03 Ekim). Sayılarla Üniversitemiz. https://www.nku.edu.tr/sayilarlauniversitemiz
  • UNESCO. (2023, 04 Eylül). ChatGPT and artificial intelligence in higher education: Quick start guide. https://eduq.info/xmlui/bitstream/handle/11515/38828/ChatGPT-Artificial-Intelligence-in-higher-education-Quick-Start-guide_UNESCO-2023.pdf?sequence=2&isAllowed=y
  • Yalcinkaya, T., Ergin, E. ve Yucel, S. C. (2024). Exploring nursing students' attitudes and readiness for artificial ıntelligence: A cross-sectional study. Teaching and Learning in Nursing, 19(4), e722-e728. https://doi.org/10.1016/j.teln.2024.07.008
  • Yıldırım, A. ve Şimşek, H. (2016). Sosyal bilimlerde nitel araştırma yöntemleri. Seçkin Yayıncılık.
  • Yurt, E. ve Kaşarcı, I. (2024). A questionnaire of artificial intelligence use motives: A contribution to investigating the connection between AI and motivation. International Journal of Technology in Education, 7(2), 308-325. https://doi.org/10.46328/ijte.725
  • Zawacki-Richter, O., Marín, V. I., Bond, M. ve 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

Yükseköğretimde Yapay Zekâ: Öğrenci Tutumları ve Akademisyen Görüşleri

Yıl 2025, Cilt: 10 Sayı: 26, 132 - 153, 28.02.2025
https://doi.org/10.25204/iktisad.1588001

Öz

Bu araştırma, yükseköğretimde yapay zekâ kullanımına ilişkin öğrenci tutumlarını ve akademisyen görüşlerini karma yöntem yaklaşımıyla incelemeyi amaçlamaktadır. Veriler, 400 lisans öğrencisinden anket yoluyla ve 10 akademisyenle gerçekleştirilen yarı yapılandırılmış görüşmelerle toplanmıştır. Nicel bulgular, öğrencilerin yapay zekâya yönelik olumlu tutum sergilediğini göstermiş, öğrenciler yapay zekâ araçlarını kullanmada orta düzeyde yetkinlik bildirmiş ve bunları öncelikle yaratıcı yazım, görsel oluşturma ve dil öğrenme amacıyla kullandıklarını belirtmişlerdir. Öğrenciler, kişiselleştirilmiş öğrenme fırsatları ve karmaşık konuları daha kolay anlama gibi avantajları vurgularken, eğitimde eşitsizlikler ve yanlış bilgi riskleri konusunda endişelerini dile getirmişlerdir. Nitel bulgular, akademisyenlerin yapay zekâ teknolojilerine karşı hem olumlu hem de temkinli bir duruş sergilediğini göstermiştir. Akademisyenler, yapay zekânın araştırma, veri analizi ve eğitim desteğindeki potansiyelini kabul ederken, temel becerilerin zayıflaması ve veri güvenliği konularında endişe duymaktadır. Yükseköğretimde kapsamlı bir dönüşüm öngören akademisyenler, yapay zekânın etkili ve etik kullanımı için detaylı bir yaklaşımın gerekliliğini vurgulamaktadır. Araştırma, yükseköğretimde yapay zekâ entegrasyonunun kaçınılmaz olduğu, ancak etkili ve etik uygulama için kurumsal politika ve düzenlemelerin gerekli olduğu sonucuna varmaktadır.

Kaynakça

  • Al-Zahrani, A. M. ve Alasmari, T. M. (2024). Exploring the impact of artificial intelligence on higher education: The dynamics of ethical, social, and educational implications. Humanities and Social Sciences Communications, 11(1), 1-12. https://doi.org/10.1057/s41599-024-03432-4
  • Arif, A. (2023). Investigating students' attitudes & trust in AI during COVID-19. Journal of Student Research, 12(3), 1-12. https://doi.org/10.47611/jsrhs.v12i3.5015
  • Bates, T., Cobo, C., Mariño, O. ve Wheeler, S. (2020). Can artificial intelligence transform higher education?. International Journal of Educational Technology in Higher Education, 17, 1-12. https://doi.org/10.1186/s41239-020-00218-x
  • Bobrytska, V. I., Krasylnykova, H. V., Beseda, N. A. ve Smirnova, I. M. (2024). Artificial intelligence (AI) in Ukrainian higher education: A comprehensive study of stakeholder attitudes, expectations and concerns. International Journal of Learning, Teaching and Educational Research, 23(1), 1-18. https://doi.org/10.26803/ijlter.23.1.20
  • Chatterjee, S. ve Bhattacharjee, K. K. (2020). Adoption of artificial intelligence in higher education: A quantitative analysis using structural equation modelling. Education and Information Technologies, 25, 3443-3463. https://doi.org/10.1007/s10639-020-10159-7
  • Chu, H., Tu, Y. ve Yang, K. (2022). Roles and research trends of artifcial intelligence in higher education: A systematic review of the top 50 most-cited articles. Australasian Journal of Educational Technology, 38(3), 22–42. https://doi.org/10.14742/ajet.7526
  • Creswell, J. W. ve Clark, V. L. P. (2017). Designing and conducting mixed methods research. Sage Publications.
  • Crompton, H. ve Burke, D. (2023). Artifcial intelligence in higher education: the state of the feld. International Journal of Educational Technology in Higher Education, (20), 8. https://doi.org/10.1186/s41239-023-00392-8
  • Dhawan, S. ve Batra, G. (2020). Artificial intelligence in higher education: Promises, perils, and perspective. Expanding Knowledge Horizon. OJAS, 11, 11-22.
  • Glaser, B. ve Strauss, A. (2017). Discovery of grounded theory: Strategies for qualitative research. Routledge. https://doi.org/10.4324/9780203793206
  • Göksel, N. ve Bozkurt, A. (2019). Artificial intelligence in education: Current insights and future perspectives. S. Şişman-Uğur ve G. Kurubacak (Ed.), Handbook of research on learning in the age of transhumanism içinde (s. 224-236). IGI Global. https://doi.org/10.4018/978-1-5225-8431-5.ch014
  • Kaya, F., Aydin, F., Schepman, A., Rodway, P., Yetişensoy, O. ve Demir-Kaya, M. (2022). The roles of personality traits, al anxiety, and demographic factors in attitudes toward artificial intelligence. International Journal of Human–Computer Interaction, 1-18. https://doi.org/10.1080/10447318.2022.2151730
  • Khlaif, Z. N., Ayyoub, A., Hamamra, B. ve Bensalem, E. (2024). University teachers' views on the adoption and integration of generative AI tools for student assessment in higher education. Education Sciences, 14(10), 1090. https://doi.org/10.3390/educsci14101090
  • Kuleto, V., Ilić, M., Dumangiu, M., Ranković, M., Martins, O. M., Păun, D. ve Mihoreanu, L. (2021). Exploring opportunities and challenges of artificial intelligence and machine learning in higher education institutions. Sustainability, 13(18), 10424. https://doi.org/10.3390/su131810424
  • Ma, D., Akram, H. ve Chen, I. H. (2024). Artificial intelligence in higher education: A cross-cultural examination of students' behavioral intentions and attitudes. International Review of Research in Open and Distributed Learning, 25(3), 1-22. https://doi.org/10.19173/irrodl.v25i3.7703
  • Mah, D. K. ve Groß, N. (2024). Artificial intelligence in higher education: exploring faculty use, self-efficacy, distinct profiles, and professional development needs. International Journal of Educational Technology in Higher Education, 21(1), 1-24. https://doi.org/10.1186/s41239-024-00490-1
  • McGrath, C., Pargman, T. C., Juth, N. ve Palmgren, P. J. (2023). University teachers' perceptions of responsibility and artificial intelligence in higher education-An experimental philosophical study. Computers and Education: Artificial Intelligence, 4, 100139. https://doi.org/10.1016/j.caeai.2023.100139
  • Miles, M, B. ve Huberman, A. M. (1994). Qualitative data analysis: An expanded sourcebook. Sage Publications.
  • Ocaña-Fernández, Y., Valenzuela-Fernández, L. A. ve Garro-Aburto, L. L. (2019). Artificial intelligence and its implications in higher education. Journal of Educational Psychology, 7(2), 553-568. https://doi.org/10.20511/pyr2019.v7n2.274
  • Ouyang, F., Zheng, L. ve Jiao, P. (2022). Artifcial intelligence in online higher education: A systematic review of empirical research from 2011–2020. Education and Information Technologies, 27, 7893–7925. https://doi.org/10.1007/s10639-022-10925-9
  • Pisica, A. I., Edu, T., Zaharia, R. M. ve Zaharia, R. (2023). Implementing artificial intelligence in higher education: Pros and cons from the perspectives of academics. Societies, 13(5), 118. https://doi.org/10.3390/soc13050118
  • Popenici, S. A. ve Kerr, S. (2017). Exploring the impact of artificial intelligence on teaching and learning in higher education. Research and Practice in Technology Enhanced Learning, 12(1), 22. https://doi.org/10.1186/s41039-017-0062-8
  • Rodway, P. ve Schepman, A. (2023). The impact of adopting AI educational technologies on projected course satisfaction in university students. Computers and Education: Artificial Intelligence, 5, 100150. https://doi.org/10.1016/j.caeai.2023.100150
  • Schepman, A. ve Rodway, P. (2020). Initial validation of the general attitudes towards Artificial Intelligence Scale. Computers in Human Behavior Reports, 1, 100014. https://doi.org/10.1016/j.chbr.2020.100014
  • Şahin, M. G. ve Yıldırım, Y. (2024). The general attitudes towards artificial intelligence (GAAIS): A meta-analytic reliability generalization study. International Journal of Assessment Tools in Education, 11(2), 303-319. https://doi.org/10.21449/ijate.1369023
  • Tekirdağ Namık Kemal Üniversitesi. (2024, 03 Ekim). Sayılarla Üniversitemiz. https://www.nku.edu.tr/sayilarlauniversitemiz
  • UNESCO. (2023, 04 Eylül). ChatGPT and artificial intelligence in higher education: Quick start guide. https://eduq.info/xmlui/bitstream/handle/11515/38828/ChatGPT-Artificial-Intelligence-in-higher-education-Quick-Start-guide_UNESCO-2023.pdf?sequence=2&isAllowed=y
  • Yalcinkaya, T., Ergin, E. ve Yucel, S. C. (2024). Exploring nursing students' attitudes and readiness for artificial ıntelligence: A cross-sectional study. Teaching and Learning in Nursing, 19(4), e722-e728. https://doi.org/10.1016/j.teln.2024.07.008
  • Yıldırım, A. ve Şimşek, H. (2016). Sosyal bilimlerde nitel araştırma yöntemleri. Seçkin Yayıncılık.
  • Yurt, E. ve Kaşarcı, I. (2024). A questionnaire of artificial intelligence use motives: A contribution to investigating the connection between AI and motivation. International Journal of Technology in Education, 7(2), 308-325. https://doi.org/10.46328/ijte.725
  • Zawacki-Richter, O., Marín, V. I., Bond, M. ve 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
Toplam 31 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular İşletme
Bölüm Araştırma Makaleleri
Yazarlar

Hasan Selçuk Eti 0000-0002-3792-697X

Erken Görünüm Tarihi 25 Şubat 2025
Yayımlanma Tarihi 28 Şubat 2025
Gönderilme Tarihi 19 Kasım 2024
Kabul Tarihi 8 Şubat 2025
Yayımlandığı Sayı Yıl 2025 Cilt: 10 Sayı: 26

Kaynak Göster

APA Eti, H. S. (2025). Yükseköğretimde Yapay Zekâ: Öğrenci Tutumları ve Akademisyen Görüşleri. İktisadi İdari Ve Siyasal Araştırmalar Dergisi, 10(26), 132-153. https://doi.org/10.25204/iktisad.1588001
AMA Eti HS. Yükseköğretimde Yapay Zekâ: Öğrenci Tutumları ve Akademisyen Görüşleri. İKTİSAD. Şubat 2025;10(26):132-153. doi:10.25204/iktisad.1588001
Chicago Eti, Hasan Selçuk. “Yükseköğretimde Yapay Zekâ: Öğrenci Tutumları Ve Akademisyen Görüşleri”. İktisadi İdari Ve Siyasal Araştırmalar Dergisi 10, sy. 26 (Şubat 2025): 132-53. https://doi.org/10.25204/iktisad.1588001.
EndNote Eti HS (01 Şubat 2025) Yükseköğretimde Yapay Zekâ: Öğrenci Tutumları ve Akademisyen Görüşleri. İktisadi İdari ve Siyasal Araştırmalar Dergisi 10 26 132–153.
IEEE H. S. Eti, “Yükseköğretimde Yapay Zekâ: Öğrenci Tutumları ve Akademisyen Görüşleri”, İKTİSAD, c. 10, sy. 26, ss. 132–153, 2025, doi: 10.25204/iktisad.1588001.
ISNAD Eti, Hasan Selçuk. “Yükseköğretimde Yapay Zekâ: Öğrenci Tutumları Ve Akademisyen Görüşleri”. İktisadi İdari ve Siyasal Araştırmalar Dergisi 10/26 (Şubat 2025), 132-153. https://doi.org/10.25204/iktisad.1588001.
JAMA Eti HS. Yükseköğretimde Yapay Zekâ: Öğrenci Tutumları ve Akademisyen Görüşleri. İKTİSAD. 2025;10:132–153.
MLA Eti, Hasan Selçuk. “Yükseköğretimde Yapay Zekâ: Öğrenci Tutumları Ve Akademisyen Görüşleri”. İktisadi İdari Ve Siyasal Araştırmalar Dergisi, c. 10, sy. 26, 2025, ss. 132-53, doi:10.25204/iktisad.1588001.
Vancouver Eti HS. Yükseköğretimde Yapay Zekâ: Öğrenci Tutumları ve Akademisyen Görüşleri. İKTİSAD. 2025;10(26):132-53.


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