Work

Artificial intelligence in university teaching: Skills, perception, and technological integration in university teachers

Year: 2025

Type: article

Abstract: The overall objective was to describe the use of artificial intelligence in university teaching, based on the skills, perception, and technological integration of university teachers. To this end, a quantitative paradigm was used, with descriptive field research, a non-experimental cross-sectional design, and a population represented by 72 university teachers with a finite sample, consisting of those who voluntarily agreed to participate in the research. The results were presented in a table that analyzed frequency and percentage, showing that most university teachers recognize the potential of artificial intelligence in teaching, using it moderately and with a critical attitude. However, limitations in training, technical support, and autonomy in its pedagogical implementation were still identified.

Source: Prohominum

DOI: 10.47606/acven/ph0347

Authors: Pillpe Guillermo Romaní, Keila Macedo Soledad Inca, Gaspar Tapara Celso, Carlos Alberto Hernández Acasiete, Eddy Gladys Esplana Paitan

Institutions: Universidad Nacional San Luis Gonzaga, Universidad Nacional de Huancavelica, Universidad para el Desarrollo Andino

Language: English

Topic: Artificial Intelligence in Education

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

SDG: Quality education

Open Access status: diamond

OpenAlex ID: W4411433357

FWCI: 2.214

Cites: 29

Cited by: 2

Related to: 10