Learning analytics for student academic tracking, a comparison between Analytics Graphs and Edwiser Reports

Joe Llerena, Nohely Alava-Moran, Jonathan Zamora-Galindo

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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 languageEnglish
Title of host publicationProceedings - 2021 2nd International Conference on Information Systems and Software Technologies, ICI2ST 2021
EditorsCarlos Iniguez Jarrin, Gabriela Suntaxi Ona
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages101-107
Number of pages7
ISBN (Electronic)9780738143613
DOIs
StatePublished - Mar 2021
Event2nd International Conference on Information Systems and Software Technologies, ICI2ST 2021 - Virtual, Quito, Ecuador
Duration: 23 Mar 202125 Mar 2021

Publication series

NameProceedings - 2021 2nd International Conference on Information Systems and Software Technologies, ICI2ST 2021

Conference

Conference2nd International Conference on Information Systems and Software Technologies, ICI2ST 2021
Country/TerritoryEcuador
CityVirtual, Quito
Period23/03/2125/03/21

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

Fingerprint

Dive into the research topics of 'Learning analytics for student academic tracking, a comparison between Analytics Graphs and Edwiser Reports'. Together they form a unique fingerprint.

Cite this