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RISTI - Revista Ibérica de Sistemas e Tecnologias de Informação
versión impresa ISSN 1646-9895
Resumen
AGUAYO, Raquel; LIZARRAGA, Carmen y QUINONEZ, Yadira. Evaluation of academic performance in virtual environments using the NLP model. RISTI [online]. 2021, n.41, pp.34-49. Epub 31-Mar-2021. ISSN 1646-9895. https://doi.org/10.17013/risti.41.34-49.
At present, it has considerably increased technological advances and innovations, which has allowed the development of new technological tools and virtual environments to optimize the teaching-learning process. This work focuses on evaluating the students' academic performance of the Bachelor of Gastronomy of the UAS in virtual environments, specifically in the subject of statistics. The applied methodology was quasi-experimental with a mixed descriptive longitudinal approach per survey. The context analysis was carried out through an instrument to collect information related to technological tools' use and management. Also, the NLP model was applied to know the predominant learning style in the students. Finally, the academic performance of the students was analyzed during the development of two learning units. This document ends with a critical discussion of the results obtained, the conclusions, and recommendations.
Palabras clave : teaching-learning process; virtual environments; learning styles; academic performance..