Abstract
This work presents a proposal for the progressive use of different methodologies and analytical learning techniques, using two tools available on the Moodle platform. To increase students' retentiveness and to analyze each participant's progress and performance trends are the challenges that Big Data era allows us thanks to data analysis. By closely monitoring student learning and perseverance, it is possible to identify the factors that make them continue with their studies or drop out and thus be able to build predictive models for decision-making. The objective of this work is to show significant changes in the educational processes of student groups that allow teachers to validate, supervise and redirect detailed and specific information through learning analytics with tools available for virtual learning environments, thereby mitigating the risk of loss or desertion.
Original language | English |
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Title of host publication | Proceedings - 2021 2nd International Conference on Information Systems and Software Technologies, ICI2ST 2021 |
Editors | Carlos Iniguez Jarrin, Gabriela Suntaxi Ona |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 101-107 |
Number of pages | 7 |
ISBN (Electronic) | 9780738143613 |
DOIs | |
State | Published - Mar 2021 |
Event | 2nd International Conference on Information Systems and Software Technologies, ICI2ST 2021 - Virtual, Quito, Ecuador Duration: 23 Mar 2021 → 25 Mar 2021 |
Publication series
Name | Proceedings - 2021 2nd International Conference on Information Systems and Software Technologies, ICI2ST 2021 |
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Conference
Conference | 2nd International Conference on Information Systems and Software Technologies, ICI2ST 2021 |
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Country/Territory | Ecuador |
City | Virtual, Quito |
Period | 23/03/21 → 25/03/21 |
Bibliographical note
Funding Information:We are grateful to the Research Group on Engineering Science Education-Learning, GiEACI, for their support in the proposal.
Publisher Copyright:
© 2021 IEEE.
Keywords
- Educational data mining
- Educational Innovation
- Higher education
- Learning Activities
- Learning analytics