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An Adaptive Learning Approach Using a Full Engagement Educational Framework

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Advances on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC 2017)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 13))

Abstract

This work presents an innovative framework with the aim to create full engagement for the learners on massive open online learning environments through a connectivist approach as an example of an adaptive learning experience. The proposed framework relies on the importance of creating engaging experiences before, during and after the finish of a course to increase learners’ participation and reduce drop-out rates with the help of learning analytics. This work presents a compelling idea in the universe of MOOCs: It intends to expand the efforts of the learning design team to achieve pre and post-course engagement, where engagement take the form of an ongoing community of learners. This research provides results from the first successful experiences in two MicroMasters “Professional Android Developer”, taught in English, and one specialization taught in Spanish: “E-Learning for teachers: create innovative activities and content” at the edX platform.

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Acknowledgments

This work is partially supported by European Union through the Erasmus+ programme - projects MOOC-Maker and ACAI-LA 561533-EPP-1-2015-1-ES-EPPKA2-CBHE-JP, 561997-EPP-1-2015-1-ES-EPPKA2-CBHE-JP.

Author information

Authors and Affiliations

  1. GES Department, Galileo University, Guatemala, Guatemala

    Rocael Hernández & Hector R. Amado-Salvatierra

Authors
  1. Rocael Hernández
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  2. Hector R. Amado-Salvatierra
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Corresponding author

Correspondence to Hector R. Amado-Salvatierra .

Editor information

Editors and Affiliations

  1. Technical University of Catalonia, Barcelona, Spain

    Fatos Xhafa

  2. Open University of Catalonia, Barcelona, Spain

    Santi Caballé

  3. Fukuoka Institute of Technology (FIT), Fukuoka, Japan

    Leonard Barolli

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Hernández, R., Amado-Salvatierra, H.R. (2018). An Adaptive Learning Approach Using a Full Engagement Educational Framework. In: Xhafa, F., Caballé, S., Barolli, L. (eds) Advances on P2P, Parallel, Grid, Cloud and Internet Computing. 3PGCIC 2017. Lecture Notes on Data Engineering and Communications Technologies, vol 13. Springer, Cham. https://doi.org/10.1007/978-3-319-69835-9_58

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  • DOI: https://doi.org/10.1007/978-3-319-69835-9_58

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-69834-2

  • Online ISBN: 978-3-319-69835-9

  • eBook Packages: EngineeringEngineering (R0)

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