Menilai Efektivitas Pembelajaran Akuntansi Berbasis AI dari Perspektif Mahasiswa

Authors

  • Santi Widhiyanti Politeknik Negeri Malang
  • Indra Lukmana Putra Politeknik Negeri Malang

DOI:

https://doi.org/10.32662/gaj.v8i2.4554

Keywords:

Artificial Intelligence, Accounting Learning, Learning Effectiveness

Abstract

The advancement of Artificial Intelligence (AI) has driven significant transformations in higher education, including accounting learning. This study analyzes the influence of students’ perceptions of AI-based accounting learning, their experience using AI, and their understanding of accounting terms through AI on the effectiveness of accounting learning. A quantitative approach was employed through an online survey of 66 D3 and D4 Accounting students at Politeknik Negeri Malang, using purposive sampling and multiple linear regression analysis with SPSS. The results indicate that the three independent variables do not have a significant effect on the effectiveness of learning. The negative influence of understanding accounting terms suggests that learning effectiveness is still affected by pedagogical factors and technological readiness. These findings emphasize that the successful integration of AI in accounting learning depends not only on technology but also on students’ readiness and instructor support.

Author Biographies

Santi Widhiyanti, Politeknik Negeri Malang

Jurusan Akuntansi

Indra Lukmana Putra, Politeknik Negeri Malang

Jurusan Akuntansi

References

Alfares, S., & Savli, T. (2023). Yapay Zeka Kullanimimin Muhasebe Meslegine Etkileri: Istanbul Serbest Muhasebeci Mali Musavirler Odasi Uzerine Bir Arastirma. Muhasebe ve Finansman Dergisi. https://doi.org/10.25095/mufad.1328069

Babo, L., Mendonca, J. M., Queiros, R., Pinto, C. M., Cruz, M., & Mascarenhas, D. (2024, May). Exploring HEIs Students' Perceptions of Artificial Intelligence on their Learning Process. In 2024 5th International Conference in Electronic Engineering, Information Technology & Education (EEITE) (pp. 1-5). IEEE. https://doi.org/10.1109/EEITE61750.2024.10654438

Ballantine, J., Boyce, G., & Stoner, G. (2024). A critical review of AI in accounting education: Threat and opportunity. Critical Perspectives on Accounting, 99, 102711. https://doi.org/10.1016/j.cpa.2024.102711

Banta, V. C., Rînda?u, S.-M., Tanasie, A., & Cojocaru, D. (2022). Artificial Intelligence in the Accounting of International Busi-nesses: A Perception-Based Approach. Sustainability, 14(11), 6632. https://doi.org/10.3390/su14116632

Bullard, E. (2024). Purposive sampling. EBSCO Research Starters: Social Sciences and Humanities. Retrieved from https://www.ebsco.com/research-starters/social-sciences-and-humanities/purposive-sampling

Brabete, V., Barbu, C. M., Cîrciumaru, D., Goag?r?, D., & Berceanu, D. (2024). Redesign of Accounting Education to Meet the Challenges of Artificial Intelligence–A Literature Review. Amfiteatru Economic, 26(65), 275-293. https://doi.org/10.24818/EA/2022/59/46

Calderon, T. G., Gao, L., & Cardoso, R. L. (2023). Generative artificial intelligence in the classroom: A financial accounting experience. In Advances in Accounting Education: Teaching and Curriculum Innovations (Vol. 27, pp. 125-144). Emerald Publishing Limited. https://doi.org/10.1108/S1085-462220230000027006

Ciudad-Gómez, A. (2025) Perception and ethical use of artificial intelligence by university students. Journal of Management and Business Education, 8(1), 18-36. https://doi.org/10.35564/jmbe.2025.0002

Gilreath, S., Hernandez, C., & Ingalls, D. (2025). Student perceptions of AI integration in accounting education: Exploring the value, challenges, and career readiness. ACBSP Global Business Education Journal. https://doi.org/10.64010/YKVG7859

Gómez-Trigueros, I. M., Ruiz-Bañuls, M., Esteve-Faubel, J. M., & Mareque León, F. (2024). Teacher motivation: Exploring the integration of technology and didactics in the narratives of future teachers. Social Sciences, 13(4), 217. https://doi.org/10.3390/socsci13040217

De León, E. T. G., Pérez, L. M., Morales, E. P. G., & Ramos, H. H. (2024). Impacto de la Inteligencia Artificial en el aprendizaje de los nuevos estudiantes de la Universidad Estatal Amazónica. https://doi.org/10.33936/cognosis.v9i2.6443

Moran, J. (2023, November 21). Academics consider using ChatGPT to generate feedback, with marking time at University of Tasmania college slashed. ABC News. Retrieved from https://www.abc.net.au/news/2023-11-21/tas-utas-marking-time-cuts-chatgpt-assignments-students/103125634

Number Analytics. (2025). Purposive sampling in educational. Number Analytics Blog.

Retrieved from https://www.numberanalytics.com/blog/purposive-sampling-in-educational-research

Putra, I. L., Winarto, E., Nugrahanti, N., Puspitasari, P., & Amerieska, S. (2025a). Manajemen stratejik era kecerdasan buatan. Naga Pustaka Publisher

Putra, I. L., Candrawati, T., Fauzi, I. S., & Rohim, Y. N. (2025b). Sistem manajemen mutu: Praktisi dan pendidikan vokasi. Naga Pustaka Publisher.

Saleh, A., & Bista, K. (2017). Examining factors impacting online survey response rates in educational research: Perceptions of graduate students. Journal of Multidisciplinary evaluation, 13(29), 63-74.https://jmde.journals.publicknowledgeproject.org/index.php/jmde_1/article/view/487/439

Saúde, S., Barros, J. P., & Almeida, I. (2024). Impacts of Generative Artificial Intelligence in higher education: research trends and students’ perceptions. Social Sciences, 13(8), 410. https://doi.org/10.3390/socsci13080410

Schei, O. M., Møgelvang, A., & Ludvigsen, K. (2024). Perceptions and use of AI chatbots among students in higher education: A scoping review of empirical studies. Education Sciences, 14(8), 922. https://doi.org/10.3390/educsci14080922

Schmidt, D. A., AlBloushi, B., Thomas, A., & Magalhaes, R. (2025). Integrating artificial intelligence in higher education: perceptions, challenges, and strategies for academic innovation. Computers and Education Open, 100274. https://doi.org/10.1016/j.caeo.2025.100274

Shalgimbekova, K., Smagliy, T., Kalimzhanova, R., & Suleimenova, Z. (2024). Innovative teaching technologies in higher education: efficiency and student motivation. Cogent Education, 11(1), 2425205. https://doi.org/10.1080/2331186X.2024.2425205

Stokes Xalix, M. (2025). Best practices for anonymous survey research. Saint Mary’s University of Minnesota Institutional Review Board (IRB).

Retrieved from https://irb.smumn.edu/wp-content/uploads/sites/26/2025/09/Best-practices-for-anonymous-survey-research.pdf

Wale-Fadairo, T. G., & Ige, O. A. (2025). A scoping review of artificial intelligence integration into accounting. International Journal of Educational Methodology, 11(1), 113-125. https://doi.org/10.12973/ijem.11.1.113

Yulin, N., & Danso, S. D. (2025). Assessing Pedagogical Readiness for Digital Innovation: A Mixed-Methods Study. arXiv preprint arXiv:2502.15781. https://arxiv.org/pdf/2502.15781

Zhang, B., & Xu, J. (2025). Research on the Practical Application of Accounting in the Era of Artificial Intelligence. 1(1), 1000004. https://doi.org/10.71204/082c7e23

Zhou, X., Zhang, J., & Chan, C. (2024). Unveiling students' experiences and perceptions of artificial intelligence usage in higher education. Journal of University Teaching and Learning Practice, 21(6), 126-145. https://search.informit.org/doi/abs/10.3316/informit.T2024092900003791821245908

Zhou, A., & Luo, Y. (2025). Exploring the impact of generative AI on student learning in accounting. Journal of Accounting Education, 72, 100982. https://doi.org/10.1016/j.jaccedu.2025.100982

Zhu, Y., Liu, Q., & Zhao, L. (2025). Exploring the impact of generative artificial intelligence on students’ learning outcomes: A meta-analysis. Education and Information Technologies, 1-29. https://doi.org/10.1007/s10639-025-13420-z

Downloads

Published

2025-10-31

How to Cite

Widhiyanti, S., & Putra, I. L. (2025). Menilai Efektivitas Pembelajaran Akuntansi Berbasis AI dari Perspektif Mahasiswa. Gorontalo Accounting Journal, 8(2), 460–472. https://doi.org/10.32662/gaj.v8i2.4554

Issue

Section

Articles