Work

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

Year: 2025

Type: article

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.

Source: Social Sciences & Humanities Open

DOI: 10.1016/j.ssaho.2025.101668

Authors: Marcelo Rioseco País, Rodrigo Vargas Vitoria, Cristian Martínez Salazar, Juan Silva Quiroz

Institutions: University of Talca, Catholic University of the Maule, Universidad de La Frontera, Universidad de Santiago de Chile

Language: English

Topic: Artificial Intelligence in Education

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

SDG: Quality education

Open Access status: gold

Estimated APC paid: $1,180