University students' perceptions of the use of artificial intelligence in their academic education
DOI:
https://doi.org/10.61273/neyart.v4i3.189Keywords:
artificial intelligence, higher education, student perception, digital literacy, generative AIAbstract
This study examines the perceptions of first-semester college students regarding the use of artificial intelligence in their academic education. This study employs a non-experimental, quantitative, cross-sectional research design and involved 15 participants. The Artificial Intelligence Usage Questionnaire (AUIQ) was used to administer the measurement instrument to these participants. This detailed analysis was conducted based on six specific and essential dimensions: knowledge of and attitude toward the technology; perception of its usefulness; ease and comfort of use; privacy and security concerns; potential risks and associated disadvantages; and the teacher as a facilitator of this process. However, knowledge of the available tools is limited and not very diverse, primarily confined to ChatGPT and Gemini. Ninety-one percent of participants agree that the teacher is the key figure in determining how a school appropriately uses technology.
Downloads
References
Chan, C. K. Y., & Hu, W. (2023). Students' voices on generative AI: Perceptions, benefits, and challenges in higher education. International Journal of Educational Technology in Higher Education, 20(1), 43. https://doi.org/10.1186/s41239-023-00411-8
Chao-Rebolledo, C., & Rivera-Navarro, M. Á. (2024). Usos y percepciones de herramientas de inteligencia artificial en la educación superior en México. Revista Iberoamericana de Educación, 95(1), 57–72. https://doi.org/10.35362/rie9516259
Cobo Romaní, C. (2019). Acepto las condiciones: Usos y abusos de las tecnologías digitales. Fundación Santillana.
Creswell, J. W., & Creswell, J. D. (2018). Research design: Qualitative, quantitative, and mixed methods approaches (5th ed.). SAGE Publications.
Fernández Batanero, J. M., Román Graván, P., & El Homrani, M. (2022). Actitudes hacia la inteligencia artificial en estudiantes universitarios de España, México y Colombia. Revista de Educación a Distancia (RED), 22(69). https://doi.org/10.6018/red.490081
Hernández-Sampieri, R., & Mendoza, C. P. (2018). Metodología de la investigación: Las rutas cuantitativa, cualitativa y mixta. McGraw-Hill Education.
Kasneci, E., Seßler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., Gasser, U., Groh, G., Günnemann, S., Hüllermeier, E., Krusche, S., Kutyniok, G., Michaeli, T., Nerdel, C., Pfeffer, J., Poquet, O., Sailer, M., Schmidt, A., Seidel, T., Stadler, M., Weller, J., Kuhn, J., & Kasneci, G. (2023). ChatGPT for good? On opportunities and challenges of large language models for education. Learning and Individual Differences, (103), 102274. https://doi.org/10.1016/j.lindif.2023.102274
Kerlinger, F. N., & Lee, H. B. (2002). Investigación del comportamiento: Métodos de investigación en ciencias sociales (4.ª ed.). McGraw-Hill.
Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. (2016). Intelligence unleashed: An argument for AI in education. Pearson Education.
Morales, E., Torres, R., & Zavala, G. (2023). Adopción y percepción de herramientas de inteligencia artificial generativa en estudiantes de nivel superior. Apertura, 15(1), 6–21. https://doi.org/10.32870/ap.v15n1.2235
Ouyang, F., & Jiao, P. (2021). Artificial intelligence in education: The three paradigms. Computers and Education: Artificial Intelligence, (2), 100020. https://doi.org/10.1016/j.caeai.2021.100020
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(1), 22. https://doi.org/10.1186/s41039-017-0062-8
Sunkel, G., & Trucco, D. (Eds.). (2012). Las tecnologías digitales frente a los desafíos de una educación inclusiva en América Latina. Comisión Económica para América Latina y el Caribe (CEPAL).
UNESCO IESALC. (2021). Inteligencia artificial en la educación superior: Oportunidades y desafíos para América Latina y el Caribe. Instituto Internacional de la UNESCO para la Educación Superior en América Latina y el Caribe.
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(1), 39. https://doi.org/10.1186/s41239-019-0171-0



