Analysis of Facebook in the Teaching-Learning Process about Mathematics Through Data Science

Ricardo-Adán Salas-Rueda

doi:10.21432/cjlt27895

Authors

Ricardo-Adán Salas-Rueda Instituto de Ciencias Aplicadas y Tecnología, Universidad Nacional Autónoma de México https://orcid.org/0000-0002-4188-4610

DOI:

https://doi.org/10.21432/cjlt27895

Keywords:

Facebook, social network, learning, data science, neural networks

Abstract

The aim of this quantitative research is to analyze the impact of Facebook in the teaching-learning process in financial mathematics education, using data science, machine learning, and neural networks. The sample is composed of 46 students from the Bachelor of Administration, Commerce and Marketing program at La Salle University. The results of machine learning (linear regression) indicate that sending messages, watching instructional videos, and publishing exercises on Facebook supports the teaching-learning process in financial mathematics. Likewise, data science identified six predictive models for the use of Facebook in the educational context, by means of the decision tree technique. Analysis using neural networks identified the influence of sending messages, watching instructional videos, and publishing exercises on Facebook during the assimilation of knowledge and development of mathematical skills. Finally, Facebook is a technological and communication tool that transforms the organization of teaching and learning activities in financial mathematics education.

Author Biography

Ricardo-Adán Salas-Rueda, Instituto de Ciencias Aplicadas y Tecnología, Universidad Nacional Autónoma de México

Instituto de Ciencias Aplicadas y Tecnología, Universidad Nacional Autónoma de México. Member of the National System of Researchers in Mexico (CONACYT) level I (2019-2021) and candidate (2016-2018). PhD in New Technologies Design. Research lines: Data Science and Educational Technology.

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