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MUHASEBE EĞİTİMİ ALAN ÖĞRENCİLERİN YAPAY ZEKÂ KULLANIMINDAKİ KAYGILARININ İNCELENMESİ

Yıl 2025, Cilt: 25 Sayı: 76, 81 - 94, 09.09.2025
https://doi.org/10.55322/mdbakis.1643432

Öz

Teknolojinin gelişim göstermesi ve beraberinde getirdiği yenilikler, yapay zekânın günümüzde pek çok alanda kullanılmasına sebep olmaktadır. Yapay zekânın kullanım alanlarından biri de muhasebedir. Buradan hareketle çalışmada, Erzurum ilinde muhasebe eğitimi alan öğrencilerin yapay zekâ kullanımındaki kaygılarının tespit edilmesi amaçlanmaktadır. Bu bağlamda nicel araştırma metodu olan deneysel olmayan desenlerden betimsel tarama tasarımı uygulanan çalışmada basit tesadüfi örneklem yöntemi kullanılmıştır. Veriler, Atatürk Üniversitesi ve Erzurum Teknik Üniversitesi’nde muhasebe eğitimi alan 280 öğrenciye anket uygulanarak toplanmıştır. Verilerin analizinde, katılımcıların demografik özellikleri ve muhasebe eğitimi alan öğrencilerin yapay zekâ kullanımındaki kaygılarına ait görüşleri, ortalama, standart sapma, sayı ve yüzde değerlerine bakılmıştır. Katılımcıların yaş ve eğitim değişkenlerine göre yapay zekâ kullanımındaki kaygı düzeyleri ANOVA testi ile analiz edilmiştir. Katılımcıların cinsiyet değişkenine göre yapay zekâ kullanımındaki kaygı düzeyleri ise t testi ile incelenmiştir. Çalışma sonunda, muhasebe eğitimi alan öğrencilerin yapay zekâ kullanımına yönelik kaygılarını etkileyen parametreler arasında istatistiksel olarak anlamlı bir farklılık bulunmamıştır. Çalışmada, muhasebe eğitimi alan öğrencilerin kaygıları yapay zekânın kötü amaçlı kullanılabileceği üzerine yoğunlaşmaktadır.

Kaynakça

  • Altunışık, R., Coşkun, R., Bayraktaroğlu, S., & Yıldırım, E. (2005). Sosyal bilimlerde araştırma yöntemleri: SPSS uygulamalı (4. baskı). Sakarya Kitabevi.
  • Bostrom, N., & Yudkowsky, E. (2014). The ethics of artificial intelligence. In W. Ramsey & K. Frankish (Eds.), The Cambridge handbook of artificial intelligence (pp. 316-334). Cambridge University Press.
  • Bryman, A., & Cramer, D. (2001). Quantitative data analysis with SPSS release 10 for windows: A guide for social scientists (1st ed.). Routledge.
  • Chukwudi, O., Echefu, S., Boniface, U., & Victoria, C. (2018). Effect of artificial intelligence on the performance of accounting operations among accounting firms in South East Nigeria. Asian Journal of Economics, Business and Accounting, 7(2), 1-11. https://doi.org/10.9734/AJEBA/2018/41641
  • Coppin, B. (2004). Artificial intelligence illuminated. Jones and Bartlett Publishers.
  • Damerji, H., & Salimi, A. (2021). Mediating effect of user perceptions on technology readiness and adoption of artificial intelligence in accounting. Accounting Education, 30(2), 107-130. https://doi.org/10.1080/09639284.2021.1872035.
  • Demir, Ö., Narlıkaya, Z., & Çoban, E. (2024). Muhasebe mesleğinde yapay zekâ kullanımının benimsenmesi ile teknolojiye hazır olma durumu arasındaki ilişki: Muhasebe öğrencileri üzerine bir araştırma. Muhasebe ve Denetime Bakış, 71, 187-200. https://doi.org/10.55322/mdbakis.1316801
  • Ding, K., Lev, B., Peng, X., Sun, T., & Vasarhelyi, M. A. (2020). Machine learning ımproves accounting estimates: Evidence from ınsurance payments. Review of Accounting Studies, 25(3), 1098-1134.
  • Ghosh, R. & Khatun, A. (2022). Role of technological readiness on the adoption of artificial intelligence in the accounting profession: Evidence from a developing economy. In S. Kautish & G. Kaur (Eds.), AI-Enabled agile internet of things for sustainable fintech ecosystems (pp. 170-189). IGI Global. https://doi.org/10.4018/9781-6684-4176- 3.ch008
  • Kaya, A., Koca, N., & Hatunoğlu, Z. (Eds.). (2022). Geleceğin muhasebecilerinin teknoloji kabullerinin tespitine ilişkin bir araştırma [Özel sayı]. Selçuk Üniversitesi Sosyal Bilimler Meslek Yüksekokulu Dergisi, 25, 369-381. https://doi.org/10.29249/selcuksbmyd.1141389
  • Khare, K., Stewart, B., & Khare, A. (2018). Artificial intelligence and the student experience: An institutional perspective. Journal of Education, 6(3), 63-78. https://doi.org/10.22492/ije.6.3.04
  • Korobeynikova, O.M., Korobeynikov, D.A., Popova, L.V., Chekrygina, T.A., & Shemet, E.S. (2021). Artificial intelligence for digitalization of management accounting of agricultural organization. IOP Conference Series, Earth and Environmental Science, 699(1), 1-7. https://doi.org/10.1088/1755- 1315/699/1/012049
  • Kromydas, T. (2017). Rethinking higher education and its relationship with social inequalities: Past knowledge, present state and future potential. Palgrave Communications, 1-12.
  • Manyika, J., Lund, S., Chui, M., Bughin, J., Woetzel, J., Batra, P., & Sanghvi, S. (2017). Jobs lost, jobs gained: workforce transitions in a time of automation. McKinsey Global Institute, 150.
  • Mert, G. (2020). Kurumların stratejik yönetim süreçlerinde dijitalleşmenin rolü. Journal of Social, Humanities and Administrative Sciences, 6(22), 41-58.
  • Müller, V. C. (2016). Risks of artificial intelligence (1st ed.). Boca Raton CRC Press.
  • Nouraldeen, R.M. (2023). The impact of technology readiness and use perceptions on students’ adoption of artificial intelligence: The moderating role of gender. Development and Learning in Organizations, 37(3), 7-10. https://doi.org/10.1108/DLO-07-2022-0133.
  • Pan, G., & Seow, P. (2016). Preparing accounting graduates for digital revolution: A critical review of ınformation technology competencies and skills development. Journal of Education for Business, 91(3), 166-175.
  • Popenici, S. A. D., & Kerr, S. (2017). Exploring the impact of artificial intelligence on teaching and learning in higher education. Research and Practice in Technology Enhanced Learning, 12(22), 1-13.
  • Russel, S., & Norvig, P. (2010). Artificial intelligence: A modern approach (3rd ed.). Pearson Education.
  • Sharma, M. P., Suthar, M. D., & Maheria, M. S. (2021). Artificial Intelligence Accounting Technology–Perception and Acceptance. Impact of Smart Technologies and Artificial Intelligence (AI) Paving Path Towards Interdiscipli nary Research in the Fields of Engineering, Arts, Humanities, Commerce, Economics, Social Sciences, Law and Management-Challenges and Opportunities, 77-92.
  • Iqbal, Q., & Ahmad, N.H. (2020). Challenges and Opportunities for SMEs in Industry 4.0. IGI Global.
  • Stefan, A. D., & Sharon, K. (2017). Exploring the impact of artificial intelligence on teaching and learning in higher education. Research and Practice in Technology Enhanced Learning, 1, 3-13. https://doi.org/10.1186/s41039-017-0062-8.
  • Terzi, R. (2020). An adaptation of artifıcial intelligence anxiety scale into Turkish: Reliability and validity study. International Online Journal of Education and Teaching, 7(4), 1501-1515. http://iojet.org/index.php/IOJET/article/view/1031
  • Ucoğlu, D. (2020). Yapay zekâ teknolojisinin muhasebe mesleğine ve eğitimine etkileri. Press Academia Procedia, 11(1), 16-21. https://doi.org/10.17261/Pressacademia.2020.133
  • Varol, N. (2023). Dijital dönüşüm ve yapay zekâ: Muhasebenin ve denetimin geleceği. Denetim Ve Güvence Hizmetleri Dergisi, 3(2), 162-184.
  • Wang, W., & Siau, K. (2019). Artificial intelligence, machine learning, automation, robotics, future of work and future of humanity: A review and research agenda. Journal of Database Management, 30(1), 61-79.
  • Wang, Y. Y., & Wang, Y. S. (2019). Development and validation of an artificial intelligence anxiety scale: An initial application in predicting motivated learning behavior. Interactive Learning Environments, 30(4), 1-16. https://doi.org/10.1080/10494820.2019.1674887
  • Yücel, G., & Adiloğlu, B. (2019). Dijitalleşme-yapay zekâ ve muhasebe beklentiler. Muhasebe ve Finans Tarihi Araştırmaları Dergisi, (17), 47-60.
  • Zeng, H.(2020). Adaptability of artificial ıntelligence in human resources management in this era. International Journal of Science, 7(1), 271-276.

INVESTIGATION OF THE CONCERNS OF STUDENTS TAKING ACCOUNTING EDUCATION ABOUT THE USE OF ARTIFICIAL INTELLIGENCE

Yıl 2025, Cilt: 25 Sayı: 76, 81 - 94, 09.09.2025
https://doi.org/10.55322/mdbakis.1643432

Öz

The development of technology and the innovations it brings with it cause artificial intelligence to be used in many fields today. One of the areas of use of artificial intelligence is accounting. From this point of view, the aim of the study is to determine the concerns of students receiving accounting education in Erzurum province regarding the use of artificial intelligence. In this context, simple random sampling method was used in the study in which descriptive scanning design, which is a non-experimental design, which is a quantitative research method, was applied. Data were collected by applying a survey to 280 students studying accounting at Atatürk University and Erzurum Technical University. In the analysis of the data, the demographic characteristics of the participants and the opinions of the students receiving accounting education regarding their concerns about the use of artificial intelligence were examined in terms of mean, standard deviation, number and percentage values. The anxiety levels of the participants in the use of artificial intelligence according to their age and education variables were analyzed with the ANOVA test. The anxiety levels of the participants in the use of artificial intelligence according to the gender variable were examined with the t-test. At the end of the study, no statistically significant difference was found between the parameters affecting the concerns of accounting students regarding the use of artificial intelligence. In the study, the concerns of students studying accounting focus on the possibility of artificial intelligence being used for malicious purposes.

Kaynakça

  • Altunışık, R., Coşkun, R., Bayraktaroğlu, S., & Yıldırım, E. (2005). Sosyal bilimlerde araştırma yöntemleri: SPSS uygulamalı (4. baskı). Sakarya Kitabevi.
  • Bostrom, N., & Yudkowsky, E. (2014). The ethics of artificial intelligence. In W. Ramsey & K. Frankish (Eds.), The Cambridge handbook of artificial intelligence (pp. 316-334). Cambridge University Press.
  • Bryman, A., & Cramer, D. (2001). Quantitative data analysis with SPSS release 10 for windows: A guide for social scientists (1st ed.). Routledge.
  • Chukwudi, O., Echefu, S., Boniface, U., & Victoria, C. (2018). Effect of artificial intelligence on the performance of accounting operations among accounting firms in South East Nigeria. Asian Journal of Economics, Business and Accounting, 7(2), 1-11. https://doi.org/10.9734/AJEBA/2018/41641
  • Coppin, B. (2004). Artificial intelligence illuminated. Jones and Bartlett Publishers.
  • Damerji, H., & Salimi, A. (2021). Mediating effect of user perceptions on technology readiness and adoption of artificial intelligence in accounting. Accounting Education, 30(2), 107-130. https://doi.org/10.1080/09639284.2021.1872035.
  • Demir, Ö., Narlıkaya, Z., & Çoban, E. (2024). Muhasebe mesleğinde yapay zekâ kullanımının benimsenmesi ile teknolojiye hazır olma durumu arasındaki ilişki: Muhasebe öğrencileri üzerine bir araştırma. Muhasebe ve Denetime Bakış, 71, 187-200. https://doi.org/10.55322/mdbakis.1316801
  • Ding, K., Lev, B., Peng, X., Sun, T., & Vasarhelyi, M. A. (2020). Machine learning ımproves accounting estimates: Evidence from ınsurance payments. Review of Accounting Studies, 25(3), 1098-1134.
  • Ghosh, R. & Khatun, A. (2022). Role of technological readiness on the adoption of artificial intelligence in the accounting profession: Evidence from a developing economy. In S. Kautish & G. Kaur (Eds.), AI-Enabled agile internet of things for sustainable fintech ecosystems (pp. 170-189). IGI Global. https://doi.org/10.4018/9781-6684-4176- 3.ch008
  • Kaya, A., Koca, N., & Hatunoğlu, Z. (Eds.). (2022). Geleceğin muhasebecilerinin teknoloji kabullerinin tespitine ilişkin bir araştırma [Özel sayı]. Selçuk Üniversitesi Sosyal Bilimler Meslek Yüksekokulu Dergisi, 25, 369-381. https://doi.org/10.29249/selcuksbmyd.1141389
  • Khare, K., Stewart, B., & Khare, A. (2018). Artificial intelligence and the student experience: An institutional perspective. Journal of Education, 6(3), 63-78. https://doi.org/10.22492/ije.6.3.04
  • Korobeynikova, O.M., Korobeynikov, D.A., Popova, L.V., Chekrygina, T.A., & Shemet, E.S. (2021). Artificial intelligence for digitalization of management accounting of agricultural organization. IOP Conference Series, Earth and Environmental Science, 699(1), 1-7. https://doi.org/10.1088/1755- 1315/699/1/012049
  • Kromydas, T. (2017). Rethinking higher education and its relationship with social inequalities: Past knowledge, present state and future potential. Palgrave Communications, 1-12.
  • Manyika, J., Lund, S., Chui, M., Bughin, J., Woetzel, J., Batra, P., & Sanghvi, S. (2017). Jobs lost, jobs gained: workforce transitions in a time of automation. McKinsey Global Institute, 150.
  • Mert, G. (2020). Kurumların stratejik yönetim süreçlerinde dijitalleşmenin rolü. Journal of Social, Humanities and Administrative Sciences, 6(22), 41-58.
  • Müller, V. C. (2016). Risks of artificial intelligence (1st ed.). Boca Raton CRC Press.
  • Nouraldeen, R.M. (2023). The impact of technology readiness and use perceptions on students’ adoption of artificial intelligence: The moderating role of gender. Development and Learning in Organizations, 37(3), 7-10. https://doi.org/10.1108/DLO-07-2022-0133.
  • Pan, G., & Seow, P. (2016). Preparing accounting graduates for digital revolution: A critical review of ınformation technology competencies and skills development. Journal of Education for Business, 91(3), 166-175.
  • Popenici, S. A. D., & Kerr, S. (2017). Exploring the impact of artificial intelligence on teaching and learning in higher education. Research and Practice in Technology Enhanced Learning, 12(22), 1-13.
  • Russel, S., & Norvig, P. (2010). Artificial intelligence: A modern approach (3rd ed.). Pearson Education.
  • Sharma, M. P., Suthar, M. D., & Maheria, M. S. (2021). Artificial Intelligence Accounting Technology–Perception and Acceptance. Impact of Smart Technologies and Artificial Intelligence (AI) Paving Path Towards Interdiscipli nary Research in the Fields of Engineering, Arts, Humanities, Commerce, Economics, Social Sciences, Law and Management-Challenges and Opportunities, 77-92.
  • Iqbal, Q., & Ahmad, N.H. (2020). Challenges and Opportunities for SMEs in Industry 4.0. IGI Global.
  • Stefan, A. D., & Sharon, K. (2017). Exploring the impact of artificial intelligence on teaching and learning in higher education. Research and Practice in Technology Enhanced Learning, 1, 3-13. https://doi.org/10.1186/s41039-017-0062-8.
  • Terzi, R. (2020). An adaptation of artifıcial intelligence anxiety scale into Turkish: Reliability and validity study. International Online Journal of Education and Teaching, 7(4), 1501-1515. http://iojet.org/index.php/IOJET/article/view/1031
  • Ucoğlu, D. (2020). Yapay zekâ teknolojisinin muhasebe mesleğine ve eğitimine etkileri. Press Academia Procedia, 11(1), 16-21. https://doi.org/10.17261/Pressacademia.2020.133
  • Varol, N. (2023). Dijital dönüşüm ve yapay zekâ: Muhasebenin ve denetimin geleceği. Denetim Ve Güvence Hizmetleri Dergisi, 3(2), 162-184.
  • Wang, W., & Siau, K. (2019). Artificial intelligence, machine learning, automation, robotics, future of work and future of humanity: A review and research agenda. Journal of Database Management, 30(1), 61-79.
  • Wang, Y. Y., & Wang, Y. S. (2019). Development and validation of an artificial intelligence anxiety scale: An initial application in predicting motivated learning behavior. Interactive Learning Environments, 30(4), 1-16. https://doi.org/10.1080/10494820.2019.1674887
  • Yücel, G., & Adiloğlu, B. (2019). Dijitalleşme-yapay zekâ ve muhasebe beklentiler. Muhasebe ve Finans Tarihi Araştırmaları Dergisi, (17), 47-60.
  • Zeng, H.(2020). Adaptability of artificial ıntelligence in human resources management in this era. International Journal of Science, 7(1), 271-276.
Toplam 30 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular İşletme
Bölüm Araştırma Makaleleri
Yazarlar

Nilgün Sanalan Bilici 0000-0001-8318-7250

Melike Gencal 0009-0000-8020-4086

Aslı Gencal 0009-0009-9981-1471

Yayımlanma Tarihi 9 Eylül 2025
Gönderilme Tarihi 20 Şubat 2025
Kabul Tarihi 17 Haziran 2025
Yayımlandığı Sayı Yıl 2025 Cilt: 25 Sayı: 76

Kaynak Göster

APA Sanalan Bilici, N., Gencal, M., & Gencal, A. (2025). MUHASEBE EĞİTİMİ ALAN ÖĞRENCİLERİN YAPAY ZEKÂ KULLANIMINDAKİ KAYGILARININ İNCELENMESİ. Muhasebe ve Denetime Bakış, 25(76), 81-94. https://doi.org/10.55322/mdbakis.1643432