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

In: Introduction to Internet of Things in Management Science and Operations Research

Author

Listed:
  • Roberto Morales Arsenal

    (University College for Financial Studies (CUNEF))

  • Jesús María Pinar-Pérez

    (University College for Financial Studies (CUNEF))

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.

Suggested Citation

  • Roberto Morales Arsenal & Jesús María Pinar-Pérez, 2021. "A Hybrid Model of Learning Methodology Analyzed Through the Use of Machine Learning Techniques," International Series in Operations Research & Management Science, in: Fausto Pedro García Márquez & Benjamin Lev (ed.), Introduction to Internet of Things in Management Science and Operations Research, pages 77-103, Springer.
    • Handle: RePEc:spr:isochp:978-3-030-74644-5_4
    DOI: 10.1007/978-3-030-74644-5_4
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