Integrating Chatgpt Into Teaching: Students’ Perceptions Of Its Usefulness And Reliability As A Pedagogical Resource

Authors

  • José Sánchez-Labella Dept. Of Applied Economics, Universitat de València
  • Antonio González-Rojas Dept. Of Applied Economics, Universitat de València
  • Isabel Pla Julián

DOI:

https://doi.org/10.61007/QdC.2025.2.376

Keywords:

Generative Artificial Intelligence, ChatGPT, Higher Education, Critical Thinking, Academic Ethics

Abstract

The emergence of generative artificial intelligence in higher education presents both opportunities and pedagogical, ethical, and cognitive challenges. This study combines a recent theoretical review with empirical analysis involving Social Work students to explore the impact of ChatGPT on learning. Students especially valued its ability to structure information and facilitate specific tasks such as data searching or initial text drafting. However, some students expressed concerns about the accuracy of generated content, its influence on teamwork, and potential risks of dependency. Responses underscore ChatGPT’s potential as a professional support tool, while emphasizing the need for critical, ethical, and context-aware use. The study concludes with recommendations for a responsible integration of AI into universities, particularly in disciplines with a strong relational component such as Social Work.

References

Acosta-Enriquez, B. G., Arbulú Ballesteros, M. A., Huamaní Jordan, O., López Roca, C., & Saavedra Tirado, K. (2024). Analysis of college students’ attitudes toward the use of ChatGPT in their academic activities: effect of intent to use, verification of information and responsible use. BMC Psychology, 12(1). https://doi.org/10.1186/s40359-024-01764-z

Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. https://doi.org/10.1016/0749-5978(91)90020-T

Bhullar, P. S., Joshi, M., & Chugh, R. (2024). ChatGPT in higher education - a synthesis of the literature and a future research agenda. Education and Information Technologies. https://doi.org/10.1007/s10639-024-12723-x

Boubker, O. (2024). From chatting to self-educating: Can AI tools boost student learning outcomes? Expert Systems with Applications, 238. https://doi.org/10.1016/j.eswa.2023.121820

Bubeck, S., Chandrasekaran, V., Eldan, R., Gehrke, J., Horvitz, E., Kamar, E., Lee, P., Lee, Y. T., Li, Y., Lundberg, S., Nori, H., Palangi, H., Ribeiro, M. T., & Zhang, Y. (2023). Sparks of Artificial General Intelligence: Early experiments with GPT-4. https://arxiv.org/abs/2303.12712v5

Cao, X., Lin, Y. J., Zhang, J. H., Tang, Y. P., Zhang, M. P., & Gao, H. Y. (2025). Students’ perceptions about the opportunities and challenges of ChatGPT in higher education: a cross-sectional survey based in China. Education and Information Technologies. https://doi.org/10.1007/s10639-025-13339-5

Costa, A. R., Lima, N., Viegas, C., & Caldeira, A. (2024). Critical minds: enhancing education with ChatGPT. Cogent Education, 11(1). https://doi.org/10.1080/2331186X.2024.2415286

Crawford, J., Cowling, M., & Allen, K. A. (2023). Leadership is needed for ethical ChatGPT: Character, assessment, and learning using artificial intelligence (AI). Journal of University Teaching and Learning Practice, 20(3). https://doi.org/10.53761/1.20.3.02

Dempere, J., Modugu, K., Allam, H., & Ramasamy, L. (2023). El impacto de ChatGPT en la educación superior. Frontiers in Education, 8, 1–13.

Kamoun, F., Ayeb, W. El, Jabri, I., Sifi, S., & Iqbal, F. (2024). Exploring students’ and faculty’s knowledge, attitudes, and perceptions towards ChatGPT: a cross-sectional empirical study. Journal of Information Technology Education: Research, 23, 1–33. https://doi.org/10.28945/5239

Kelly, S. ;, Kaye, S., Anne, ;, Oviedo-Trespalacios, O., Kelly, S., & Kaye, S.-A. (2023). What factors contribute to the acceptance of artificial intelligence? A systematic review. Telematics and Informatics, 77, 101925. https://doi.org/10.1016/j.tele.2022.101925

Kim, J., Yu, S., Detrick, R., & Li, N. (2024). Exploring students’ perspectives on Generative AI-assisted academic writing. Education and Information Technologies. https://doi.org/10.1007/s10639-024-12878-7

Klimova, B., & de Campos, V. P. L. (2024). University undergraduates’ perceptions on the use of ChatGPT for academic purposes: evidence from a university in Czech Republic. Cogent Education, 11(1). https://doi.org/10.1080/2331186X.2024.2373512

Moheno, J. M., Calzada, M. A. H., & Ortega-Mohedano, J. (2024). ChatGPT enters the classrooms: Student perceptions of the incorporation of artificial intelligence tools in the teaching of Economics and Business. Educational Media International. https://doi.org/10.1080/09523987.2024.2436737

Murtarelli, G., Gregory, A., & Romenti, S. (2021). A conversation-based perspective for shaping ethical human–machine interactions: The particular challenge of chatbots. Journal of Business Research, 129, 927–935. https://doi.org/10.1016/J.JBUSRES.2020.09.018

Pavlik, J. V. (2023). Collaborating With ChatGPT: Considering the Implications of Generative Artificial Intelligence for Journalism and Media Education. Journalism & Mass Communication Educator, 78(1), 84–93. https://doi.org/10.1177/10776958221149577

Ravšelj, D., Keržič, D., Tomaževič, N., Umek, L., Brezovar, N., A. Iahad, N., Abdulla, A. A., Akopyan, A., Aldana Segura, M. W., AlHumaid, J., Allam, M. F., Alló, M., Andoh, R. P. K., Andronic, O., Arthur, Y. D., Aydın, F., Badran, A., Balbontín-Alvarado, R., Ben Saad, H., … Aristovnik, A. (2025). Higher education students’ perceptions of ChatGPT: A global study of early reactions. PLOS ONE, 20(2), e0315011. https://doi.org/10.1371/journal.pone.0315011

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). 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. In Education Sciences (Vol. 14, Issue 8). Multidisciplinary Digital Publishing Institute (MDPI). https://doi.org/10.3390/educsci14080922

Slimi, Z. P., Villarejo Carballido, B. P., & Slimi, Z. (2023). Navigating the Ethical Challenges of Artificial Intelligence in Higher Education: An Analysis of Seven Global AI Ethics Policies. TEM Journal, 12(2), 590–602. https://doi.org/10.18421/TEM122-02

Strzelecki, A., & ElArabawy, S. (2024). Investigation of the moderation effect of gender and study level on the acceptance and use of generative AI by higher education students: Comparative evidence from Poland and Egypt. British Journal of Educational Technology, 55(3), 1209–1230. https://doi.org/10.1111/BJET.13425

Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view1. MIS Quarterly, 27(3), 425–478. https://www.proquest.com/scholarly-journals/user-acceptance-information-technology-toward/docview/218137148/se-2?accountid=14777

Wang, Y., & Zhang, W. (2023). Factors Influencing the Adoption of Generative AI for Art Designing Among Chinese Generation Z: A Structural Equation Modeling Approach. IEEE Access, 11, 143272–143284. https://doi.org/10.1109/ACCESS.2023.3342055

Published

2025-07-31

How to Cite

Sánchez-Labella, J., González-Rojas, A., & Pla Julián, I. (2025). Integrating Chatgpt Into Teaching: Students’ Perceptions Of Its Usefulness And Reliability As A Pedagogical Resource. Community Notebook. People, Education and Welfare in the Society 5.0, 1(4). https://doi.org/10.61007/QdC.2025.2.376