Abstract

The objective of this quantitative research is to analyze the impact of the flipped classroom in the educational process on computer science considering data science and machine learning. This study proposes the consultation of YouTube videos (before class), collaborative work through MySQL software (during class) and individual work through MySQL software (after class) in the database subject. The results of machine learning (linear regression) indicate that school activities before, during and after the class positively influence the assimilation of knowledge and development of skills on the administration of the database. Likewise, data science identifies 6 predictive models on the use of the flipped classroom in the educational process by means of the decision tree technique. Finally, the flipped classroom improves the teaching-learning conditions through the performance of creative and active activities.

Highlights

  • The use of information and communications technologies (ICTs) in the field of education is causing the creation of new pedagogical models for teaching and learning (Salas-Rueda, 2015; Yelamarthi & Drake, 2015)

  • The results of machine learning with 50% (0.583), 60% (0.640) and 70% (0.621) of training indicate that Hypothesis 1 (H1) is accepted

  • The results of machine learning with 50% (0.749), 60% (0.710) and 70% (0.619) of training indicate that Hypothesis 2 (H2) is accepted

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Summary

Introduction

The use of information and communications technologies (ICTs) in the field of education is causing the creation of new pedagogical models for teaching and learning (Salas-Rueda, 2015; Yelamarthi & Drake, 2015). Educational innovation includes the transformation of students into active agents through the use of ICTs (Chiecher & Melgar, 2018; Kang & Es, 2019). Digital tools allow the communication, use and dissemination of information on the Internet (Ramírez Mera & Barragán López, 2018).

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