Towards AI education: qualitative analysis of the perceptions of professors at a regional public university

This qualitative-interpretative study analyzed the perceptions of academics from the Faculty of Education of a regional Chilean public university about artificial intelligence (AI) and its potential impact on higher education. Semi-structured interviews were conducted with a purposive sample of five professors, exploring their conceptions, experiences, and opinions about AI. The collected data were transcribed and coded using the Nvivo 12 Plus software, identifying emerging themes and categories. The results revealed four global categories: characteristics of AI, AI in education, AI in the local context, and concerns about AI. Participants recognized the transformative potential of AI in teaching and learning, highlighting its ability to optimize tasks, generate materials, and facilitate processes. However, they expressed concerns about effectively integrating these technologies into educational practice, emphasizing the need for an ethical and responsible use that fosters students’ critical thinking. The study highlights the importance of teacher training and institutional policy development in harnessing the benefits of AI in higher education while addressing the challenges and concerns associated with its implementation.

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Publication Details

Journal
Social Sciences & Humanities Open
Published
2025-01-01
DOI
https://doi.org/10.1016/j.ssaho.2025.101668
Citations
2
Primary Topic
Online Learning and Analytics
Type
article
Field-Weighted Citation Impact
3.39
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article

Towards AI education: qualitative analysis of the perceptions of professors at a regional public university

Rodrigo Vargas Vitoria, Cristian Martínez‐Salazar, Marcelo Rioseco País, Juan Silva Quiroz
2 citations
Social Sciences & Humanities Open
Online Learning and Analytics
3.39
article

Towards AI education: qualitative analysis of the perceptions of professors at a regional public university

Rodrigo Vargas Vitoria, Cristian Martínez‐Salazar, Marcelo Rioseco País, Juan Silva Quiroz
article en
2 citations

Abstract

This qualitative-interpretative study analyzed the perceptions of academics from the Faculty of Education of a regional Chilean public university about artificial intelligence (AI) and its potential impact on higher education. Semi-structured interviews were conducted with a purposive sample of five professors, exploring their conceptions, experiences, and opinions about AI. The collected data were transcribed and coded using the Nvivo 12 Plus software, identifying emerging themes and categories. The results revealed four global categories: characteristics of AI, AI in education, AI in the local context, and concerns about AI. Participants recognized the transformative potential of AI in teaching and learning, highlighting its ability to optimize tasks, generate materials, and facilitate processes. However, they expressed concerns about effectively integrating these technologies into educational practice, emphasizing the need for an ethical and responsible use that fosters students’ critical thinking. The study highlights the importance of teacher training and institutional policy development in harnessing the benefits of AI in higher education while addressing the challenges and concerns associated with its implementation.

Social Sciences & Humanities OpenVol. 12
Universidad de Santiago de Chile (CL), Universidad de La Frontera (CL), University of Talca (CL), Catholic University of the Maule (CL)
Quality Education
Openalex Percentile: Top 7%
Online Learning and Analytics
3.39
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Towards AI education: qualitative analysis of the perceptions of professors at a regional public university — Rodrigo Vargas Vitoria, Cristian Martínez‐Salazar, et al. · Social Sciences & Humanities Open (2025) | TGRS Research Map | TGRS