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

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Edwin Gustavo Estrada-Araoz ,
Edwin Gustavo Estrada-Araoz

Universidad Nacional Amazónica de Madre de Dios. Puerto Maldonado, Perú

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Yesenia Veronica Manrique-Jaramillo ,
Yesenia Veronica Manrique-Jaramillo

Escuela de Educación Superior Pedagógico Público Nuestra Señora del Rosario. Puerto Maldonado, Perú

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Víctor Hugo Díaz-Pereira ,
Víctor Hugo Díaz-Pereira

Escuela de Educación Superior Pedagógico Público Nuestra Señora del Rosario. Puerto Maldonado, Perú

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Jenny Marleny Rucoba-Frisancho ,
Jenny Marleny Rucoba-Frisancho

Escuela de Educación Superior Pedagógico Público Nuestra Señora del Rosario. Puerto Maldonado, Perú

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Yolanda Paredes-Valverde ,
Yolanda Paredes-Valverde

Universidad Nacional Amazónica de Madre de Dios. Puerto Maldonado, Perú

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Rosel Quispe-Herrera ,
Rosel Quispe-Herrera

Universidad Nacional Amazónica de Madre de Dios. Puerto Maldonado, Perú

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Darwin Rosell Quispe-Paredes ,
Darwin Rosell Quispe-Paredes

Pontificia Universidad Católica del Perú

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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.

How to Cite

1.
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 May 24];3:285. Available from: https://dm.saludcyt.ar/index.php/dm/article/view/285

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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