Evaluación del nivel de conocimiento sobre inteligencia artificial en una muestra de docentes universitarios: Un estudio descriptivo

Edwin Gustavo Estrada-Araoz; Yesenia Veronica Manrique-Jaramillo; Víctor Hugo Díaz-Pereira; Jenny Marleny Rucoba-Frisancho; Yolanda Paredes-Valverde; Rosel Quispe-Herrera; Darwin Rosell Quispe-Paredes

doi:10.56294/dm2024285

Original

Published: 2024-04-24

DOI: https://doi.org/10.56294/dm2024285

Assessment of the level of knowledge on artificial intelligence in a sample of university professors: A descriptive study

Abstract

Introduction: The knowledge of artificial intelligence (AI) by university professors provides them with the ability to effectively integrate these innovative technological tools, resulting in a significant improvement in the quality of the teaching and learning process.
Objective: To assess the level of knowledge about AI in a sample of Peruvian university professors.
Methods: Quantitative study, non-experimental design and descriptive cross-sectional type. The sample consisted of 55 university professors of both sexes who were administered a questionnaire to assess their level of knowledge about AI, which had adequate metric properties.
Results: The level of knowledge about AI was low for 41.8% of professors, regular for 40%, and high for 18.2%. This indicates that there is a significant gap in the knowledge of university professors about AI and its application in education, which could limit their ability to fully leverage AI tools and applications in the educational environment and could affect the quality and effectiveness of teaching. Likewise, it was determined that age and self-perception of digital competencies of professors were significantly associated with their level of knowledge about AI (p<0.05).
Conclusions: Peruvian university professors are characterized by presenting a low level of knowledge about AI. Therefore, it is recommended to implement training and professional development programs focused on artificial intelligence, in order to update and improve their skills in this field.

Keywords:

Artificial intelligence,

University professors,

Education,

Higher education,

educational technology,

How to Cite

Estrada-Araoz EG, Manrique-Jaramillo YV, Díaz-Pereira VH, Rucoba-Frisancho JM, Paredes-Valverde Y, Quispe-Herrera R, Quispe-Paredes DR. Assessment of the level of knowledge on artificial intelligence in a sample of university professors: A descriptive study. Data and Metadata [Internet]. 2024 Apr. 24 [cited 2024 Jul. 4];3:285. Available from: https://dm.saludcyt.ar/index.php/dm/article/view/285

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The article is distributed under the Creative Commons Attribution 4.0 License. Unless otherwise stated, associated published material is distributed under the same licence.

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