Perceptions and expectations of university students regarding AI

Authors

DOI:

https://doi.org/10.31637/epsir-2024-357

Keywords:

Generative Artificial Intelligence, University, Technological Adoption in Education, AI, Ethics

Abstract

Introduction: The integration of Generative Artificial Intelligence (GAI) in higher education is analysed, focusing on the perceptions of 307 students at the Autonomous University of Baja California. Methodology: Quantitative approach with questionnaire in Google forms distributed through QR and snowball technique. Analysis of variance (ANOVA) to compare perceptions by semester, gender and career. Results: Varied but neutral and uncertain perceptions of the IAG. Significant differences between majors and semesters, with small to moderate effects. Ethical concerns highlighted. Discussion: Need for adequate training and clear regulations for responsible use of IAG. Diverse perceptions indicate uncertainty about benefits and challenges. Conclusions: Training and clear regulations are required to ensure ethical and responsible use of IAG in higher education.

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Author Biographies

Karla Karina Ruiz Mendoza, Universidad Autónoma de Baja California

She holds a degree in Language and Literature Teaching from the Autonomous University of Baja California, and a Master's degree in History from the same university. She also has a bachelor's degree in Computer Systems, a master's degree in Digital Education, e-learning and Social Networks, as well as diplomas and courses in Technology, Data Analysis and Programming. His interest is focused on education, technology and its transversality with the humanities and social sciences. On the other hand, she has worked as a researcher and evaluator in the educational company Amco. She is currently pursuing a PhD in Educational Sciences at the Institute for Educational Research and Development (IIDE-UABC).

Ma. Antonia Miramontes Arteaga, Universidad Autónoma de Baja California

She has a degree in Education from the Universidad Pedagógica Nacional in Mexico, a Master's degree in Teaching from the Universidad Autónoma de Baja California, and a PhD in Global Development Studies from the same university. She currently teaches in the Bachelor's Degree in Psychopedagogical Counselling and the Master's Degree in Education.

Carlos Reyna García, Universidad Autónoma de Baja California

Head of Entrepreneurship, Civil Protection and Sustainability at the Faculty of Humanities and Social Sciences of the UABC.

References

Alharbi, W. (2023). The use and abuse of artificial intelligence-enabled machine translation in the EFL classroom: An exploratory study. Journal of Education and E-Learning Research, 10(4), https://doi.org/10.20448/jeelr.v10i4.5091 DOI: https://doi.org/10.20448/jeelr.v10i4.5091

Alfaro-Salas, H. y Díaz Porras, J. A. (2024). Percepciones y Aplicaciones de la IA entre Estudiantes de Secundaria. Revista Docentes 2.0, 17(1), 200–215. https://doi.org/10.37843/rted.v17i1.458 DOI: https://doi.org/10.37843/rted.v17i1.458

Alvarado, M. A. (2024). Percepciones docentes sobre la Inteligencia Artificial Generativa: El caso mexicano. Revista Paraguaya de Educación a Distancia (REPED), 5(2), 44–55. https://doi.org/10.56152/reped2024-dossierIA1-art4 DOI: https://doi.org/10.56152/reped2024-dossierIA1-art4

Chao-Rebolledo, C. y Rivera-Navarro, M. A. (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 DOI: https://doi.org/10.35362/rie9516259

Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences (2nd ed.). Lawrence Erlbaum Associates.

Creswell, J. W. (2014). Research design: Qualitative, quantitative, and mixed methods approaches (4th ed.). SAGE Publications.

Field, A. (2013). Discovering statistics using IBM SPSS Statistics (4th ed.). SAGE Publications.

Gallent Torres, C., Zapata González, A. y Ortego Hernando, J. L. (2023). El impacto de la inteligencia artificial generativa en educación superior: una mirada desde la ética y la integridad académica. RELIEVE - Revista Electrónica De Investigación Y Evaluación Educativa, 29(2). https://doi.org/10.30827/relieve.v29i2.29134 DOI: https://doi.org/10.30827/relieve.v29i2.29134

García-Peñalvo, F. J., Llorens-Largo, F. y Vidal, J. (2024). La nueva realidad de la educación ante los avances de la inteligencia artificial generativa. RIED-Revista Iberoamericana de Educación a Distancia, 27(1), 9-39. https://doi.org/10.5944/ried.27.1.37716 DOI: https://doi.org/10.5944/ried.27.1.37716

Heberer, D., Pisano, A., Markson, C. y ChatGPT (2023). As Cited by the Artificial Intelligence of ChatGPT: Best Practices on Technology Integration

in Higher Education. Journal for Leadership and Instruction, Spring 2023, 8-12.

Instituto Federal de Telecomunicaciones (2022). Conocimiento, percepción y uso de la Inteligencia Artificial por los usuarios de Internet fijo y/o móvil. Coordinación General de Política del Usuario.

Jung, I. (2024). Personalized Education for All: The Future of Open Universities. Open Praxis, 16(1), 24–36. https://doi.org/10.55982/openpraxis.16.1.612 DOI: https://doi.org/10.55982/openpraxis.16.1.612

Nwosu,L. I., Bereng, M. C., Segotso, T. y Enebe, N. B. (2023). Fourth Industrial Revolution tools to enhance the growth and development of teaching and learning in higher education institutions: A Systematic Literature Review in South Africa. Research in Social Sciences and Technology, 8(1), 51-62. https://doi.org/10.46303/ressat.2023.4 DOI: https://doi.org/10.46303/10.46303/ressat.2023.4

Ramirez, E. A. B. y Fuentes Esparrell, J. A. (2024). Artificial Intelligence (AI) in Education: Unlocking the Perfect Synergy for Learning. Educational Process: International Journal, 13(1), 35-51. https://doi.org/10.22521/edupij.2024.131.3 DOI: https://doi.org/10.22521/edupij.2024.131.3

Ríos Hernández, I. N., Mateus, J. C., Rivera Rogel, D. y Rosa Ávila Meléndez, L. (2024). Percepciones de estudiantes latinoamericanos sobre el uso de la inteligencia artificial en la educación superior. Austral Comunicación, 13(1), e01302. https://doi.org/10.26422/aucom.2024.1301.rio DOI: https://doi.org/10.26422/aucom.2024.1301.rio

Romero-Rodríguez, J., Ramírez-Montoya, M., Buenestado-Fernández, M. y Lara-Lara, F. (2023). Use of ChatGPT at university as a tool for complex thinking: Students' perceived usefulness. Journal of New Approaches in Educational Research, 12(2), 323-339. https://doi.org/10.7821/naer.2023.7.1458 DOI: https://doi.org/10.7821/naer.2023.7.1458

Torres, M. (2023, junio 9). Aplicaciones y herramientas de inteligencia artificial (IA) para estudiantes. Conecta. Tecnológico de Monterrey.

Tramallino, C. P. y Zeni, A. M. (2024). Avances y discusiones sobre el uso de inteligencia artificial (IA) en educación. Educación, 33(64), 29-54. https://dx.doi.org/10.18800/educacion.202401.m002 DOI: https://doi.org/10.18800/educacion.202401.M002

Xiao, P., Yuanyuan, C. y Weining, B. (2023). Waiting, Banning, and Embracing: An Empirical Analysis of Adapting Policies for Generative AI in Higher Education, SSRN, 1-33. http://dx.doi.org/10.2139/ssrn.4458269 DOI: https://doi.org/10.2139/ssrn.4458269

Published

2024-07-22

How to Cite

Ruiz Mendoza, K. K., Miramontes Arteaga, M. A., & Reyna García, C. (2024). Perceptions and expectations of university students regarding AI. European Public & Social Innovation Review, 9, 1–21. https://doi.org/10.31637/epsir-2024-357

Issue

Section

Research and Artificial Intelligence