Perceptions of Learning with ChatGPT in University Business Education
DOI:
https://doi.org/10.37843/rted.v19i1.751
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Abstract
The integration of artificial intelligence (AI) into higher education has driven a significant transformation in educational processes. This study aimed to explore undergraduate students' perceptions of their academic experience with ChatGPT 3.5 as an academic support tool in a business school at a Peruvian university during 2023. The research followed the pragmatic paradigm, the analytical-synthetic method, and a mixed approach, with a convergent case study design, triangulation, and a cross-sectional scope. The sample included 178 Business Administration students, who answered a questionnaire with eight closed-ended questions and four open-ended questions, which sought to identify their knowledge, experiences, and attitudes toward AI. The results showed a predominantly positive perception of ChatGPT and highlighted its contribution to autonomous study, content comprehension, and the development of analytical and creative skills. Participants valued its usefulness for access to reliable information, rapid resolution of doubts, and reinforcement of their capacity for academic innovation. The analysis also showed that confidence in the tool and familiarity with its use increased their willingness to integrate it into future academic experiences. Overall, the results provide relevant empirical evidence on ChatGPT's potential as a pedagogical resource and underscore the need to promote institutional policies directed toward digital literacy and AI ethics.
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References
Al-Okaily, M., Mater, W., Matar, N., & Shiyyab, F. S. (2025). Understanding of ChatGPT adoption among business school students. Computers and Education: Artificial Intelligence, 9, 100441. https://doi.org/10.1016/j.caeai.2025.100441
Anderson, L. W., & Krathwohl, D. R. (Eds.). (2001). A taxonomy for learning, teaching, and assessing: A revision of Bloom’s taxonomy of educational objectives. Longman.
Arias, J. L., & Covinos, M. (2020). Metodología y diseño de investigación (1ra ed.). Enfoques Consulting.
Bond, M., Khosravi, H., De Laat, M., Bergdahl, N., Negrea, V., Oxley, E., Pham, P., Chong, S. W., & Siemens, G. (2023). A meta-systematic review of artificial intelligence in higher education: a call for increased ethics, collaboration and rigour. Int J Educ Technol High Educ, 21, 4 (2024). https://doi.org/10.1186/s41239-023-00436-z
Crawford, J., Cowling, M., & Kelly-Ann, A. (2023). Leadership is needed for ethical ChatGPT: Character, assessment, and learning using artificial intelligence (AI). Journal of University Teaching & Learning Practice, 20(3). https://doi.org/10.53761/1.20.3.02.
Creswell, J. (2003). Diseño de investigación: enfoques cualitativos, cuantitativos y mixtos. Sage Publication
Creswell, J., & Plano Clark, V. L. (2017). Diseño y conducción de investigación con métodos mixtos (3.ª ed.). Publicaciones SAGE.
Elbaz, A. M., Salem, I. E., Darwish, A., Alkathiri, N. A., Mathew, V., & Al-Kaaf, H. A. (2024). Getting to know ChatGPT: How business students feel, what they think about personal morality, and how their academic outcomes affect Oman’s higher education. Computers and Education: Artificial Intelligence, 7, 100324. https://doi.org/10.1016/j.caeai.2024.100324
Franco-Lazarte, E. (2024). Inteligencia artificial: Automatización y desarrollo de la creatividad en estudiantes en la educación superior. Revista Tecnológica-Educativa Docentes 2.0, 17(2), 268–275. https://doi.org/10.37843/rted.v17i2.574
George-Reyes, C. E., Avello-Martínez, R., & Buenestado-Fernández, M. (2025). Perceptions of ChatGPT and the complexity of its impact among higher education students: Evidence across ten countries of Latin America and Europe. Educational Process: International Journal, 15, e2025171. https://doi.org/10.22521/edupij.2025.15.171
Glasser, W. (1998). Choice theory: A new psychology of personal freedom. HarperCollins.
Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial Intelligence in Education: Promises and Implications for Teaching and Learning. Independently.
Holmes, W., & Porayska-Pomsta, K. (2023). The Ethics of Artificial Intelligence in Education Practices, Challenges, and Debates. Routledge.
Karan Romero, M. (2023). Evaluación de las actitudes y percepciones en estudiantes sobre el uso de la inteligencia artificial en odontología (tesis). Universidad Peruana de Ciencias Aplicadas. http://hdl.handle.net/10757/667431
Mhlanga, D. (2023). Open AI in Education, the Responsible and Ethical Use of ChatGPT Towards Lifelong Learning. https://n9.cl/nihqfi
Nazaretsky, M., Guzmán-Arias, R., Carrillo, K., & Lizarzaburu, O. (2025). The critical role of trust in adopting AI-powered educational technology for learning: An instrument for measuring student perceptions. Computers & Education: Artificial Intelligence, 8, 100368. https://doi.org/10.1016/j.caeai.2025.100368
Quezada Castro, M. del P., Quezada Castro, G. A., & Castro Arellano, M. del P. (2022). Inteligencia artificial y enseñanza del derecho: Su incorporación durante la pandemia de la Covid-19. [tesis]. Universidad Tecnológica del Perú. https://hdl.handle.net/20.500.12867/6363.
Selwyn, N. (2020). ¿Deberían los robots sustituir al profesorado? La IA y el futuro de la educación. Ediciones Morata.
Sila, C. A., William, C., Yunus, M. M., & Rafiq, K. R. M. (2023). Exploring students’ perception of using ChatGPT in higher education. International Journal of Academic Research in Business and Social Sciences, 13(12), 4045–4054. http://dx.doi.org/10.6007/IJARBSS/v13-i12/20250
Stöhr, C., Ou, A. W., & Malmström, H. (2024). Perceptions and usage of AI chatbots among students in higher education across genders, academic levels and fields of study. Computers & Education: Artificial Intelligence, 7. https://doi.org/10.1016/j.caeai.2024.100259
Velasquez-Astuhuaman, P. R., & Libaque-Saenz, C. F. (2024). Main factors driving the use of ChatGPT by undergraduate students: An exploratory and preliminary study in Peru. Issues in Information Systems, 25(1), 402–418. https://doi.org/10.48009/1_iis_2024_133
Vera, F. (2023). Integración de la Inteligencia Artificial en la Educación superior: Desafíos y oportunidades. Transformar, 4(1), 17–34. https://n9.cl/z65af
Weaver, K. (2018). Paradigma pragmático. University of New Brunswick. DOI:10.4135/9781506326139.n534
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. https://doi.org/10.1186/s41239-019-0171-0
Zhang, C., & Zhang, H. (2025). The impact of generative AI on management innovation. Journal of Industrial Information Integration, 44. https://doi.org/10.1016/j.jii.2024.100767