Faculty members’ perceptions of artificial intelligence in higher education: a comprehensive study

Autores/as

Palabras clave:

Artificial Intelligence, Higher Education, E-Learning, Educational quality, Learning experience

Resumen

This study examines the perceptions of Artificial Intelligence (AI) in higher education among a group of 96 faculty members from a private university in Chile. This research focuses on five dimensions, addressing general perceptions of AI, its current usage in higher education, the impact on the student experience, concerns about its application, and future expectations. The findings indicate that the faculty generally holds a positive view of AI's potential to enhance the quality of higher education. They recognize the current utilization of AI, particularly in personalized learning experiences and administrative support through chatbots and virtual assistants. Faculty also report experiencing concrete benefits from AI, such as improved online teaching and learning. Despite this optimism, some concerns about privacy, equity, and the potential replacement of teachers by AI systems were expressed. However, participants held strong expectations for AI's role in the future of higher education. In conclusion, this study provides valuable insights into the multifaceted perceptions of AI in higher education, offering essential guidance for Higher Education Institutions (HEIs) seeking to harness the potential of AI while addressing related concerns.

Citas

Anyoha, R. (2017). The History of Artificial Intelligence. Blog, Special Edition On Artificial Intelligence. https://sitn.hms.harvard.edu/flash/2017/history-artificial-intelligence/

EPRS (2020). The ethics of artificial intelligence: Issues and initiatives. European Parliamentary Research Service (EPRS). https://www.europarl.europa.eu/RegData/etudes/STUD/2020/634452/EPRS_STU(2020)634452_EN.pdf

Mohajan, H. (2020). Quantitative Research: A Successful Investigation in Natural and Social Sciences. Journal of Economic Development, Environment and People, 9(4), 52-79. https://mpra.ub.uni-muenchen.de/105149/1/MPRA_paper_105149.pdf

Rini Mandal, R. & Mete, J. (2023). Teachers’ and students’ perception towards integration of artificial intelligence in school curriculum: a survey. International Journal of Multidisciplinary educational Research, 12(7), 95-103. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4544750

Slimi, Z. (2022). The Impact of Artificial Intelligence on Higher Education: An Empirical Study. European Journal of Educational Sciences, 10(1), 17-33. https://files.eric.ed.gov/fulltext/EJ1384682.pdf

Taneri, G. U. (2020). Artificial Intelligence & Higher Education: Towards Customized Teaching and Learning, and Skills for an AI World of Work. Research & Occasional Paper Series: CSHE.6.2020. https://files.eric.ed.gov/fulltext/ED606654.pdf

Vera, F. (2023a). Integrando la IA en la educación transformadora. Conversatorio, 3 de abril de 2023. FCA. Universidad Nacional de Córdoba, Argentina. https://rediie.cl/wp-content/uploads/Conversatorio-FVera-UNC-Sp-2.pdf

Vera, F. (2023b). Integrando la IA en la educación transformadora. Conversatorio, 3 de agosto de 2023. Universidad Nacional del Altiplano de Puno (Perú). https://rediie.cl/wp-content/uploads/Webinar-FVera-UNAP-1.pdf

Vera, F. (2023c). Questionnaire on the Use of Artificial Intelligence (QUIA) https://rediie.cl/wp-content/uploads/QUIA-Vera-2023.pdf

Wollny, S.; Schneider, J.; Di Mitri, D.; Weidlich, J.; Rittberger & M.; Drachsler, H. (2021). Are we there yet?- A systematic literature review. Front. Artif. Intell. 4. https://www.frontiersin.org/articles/10.3389/frai.2021.654924/full

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Publicado

30-10-2023

Cómo citar

Vera, F. (2023). Faculty members’ perceptions of artificial intelligence in higher education: a comprehensive study. Transformar, 4(3), 55–68. Recuperado a partir de https://revistatransformar.cl/index.php/transformar/article/view/103

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