A Hybrid Model of Learning Methodology Analyzed Through the Use of Machine Learning Techniques

Roberto Morales Arsenal () and Jesús María Pinar-Pérez ()
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Roberto Morales Arsenal: University College for Financial Studies (CUNEF)
Jesús María Pinar-Pérez: University College for Financial Studies (CUNEF)
Authors registered in the RePEc Author Service: Jesús María Pinar Pérez

A chapter in Introduction to Internet of Things in Management Science and Operations Research, 2021, pp 77-103 from Springer

Abstract: Abstract In recent years, there has been an intense debate surrounding two modalities of learning in higher education, the traditional and the innovative. The model presented in this work aims to combine the best of both methodologies, thereby creating and developing a hybrid learning model. The model includes multimedia tools, traditional tools and techniques derived from the field of neuroscience. Using Internet of Things through the Canvas digital learning platform, which monitors the student during the course, a large amount of data can be obtained. These data are analyzed and employed to evaluate the hybrid model using machine learning techniques to support the decision-making in the learning methodology. The obtained results show: (1) A change in the traditional structure of a class. (2) A positive effect on performance, especially through video-lessons. (3) Both the hybrid model and the Canvas digital learning platform generated positive effects within the learning environment.

Keywords: Internet of things; Learning analytics; Hybrid methodology model; Machine learning (search for similar items in EconPapers)
Date: 2021
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DOI: 10.1007/978-3-030-74644-5_4

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