Nueva forma de comunicación e interacción en el proceso educativo sobre la probabilidad por medio de una aplicación web
Keywords:
technology, higher education, data science, machine learningAbstract
This quantitative research analyzes the impact of the web application for the Higher Education Process on Probability (APESP) in the Statistical Instrumentation for Business subject. The sample is composed of 61 students who attended the second semester of the Bachelor of Administration, Marketing, Information Technology, Commerce and Accounting in a Mexican university. The results of automatic learning (linear regression) with 50 %, 60 %, 70% and 80% of training indicate that APESP favors the assimilation of knowledge and development of skills in the educational process on the probability of events and intersection. Data science (decision tree technique) allows identifying and establishing different predictive models on the use of APESP in the teaching-learning process. Likewise, Bayes’ theorem predicts the impact of APESP (contents) on the educational process of probability. Finally, APESP is an innovative technological tool that facilitates learning in the field of statistics through data simulation.
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