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Relationship between student engagement and performance in e-learning environment using association rules

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

47 Scopus citations

Abstract

The field of e-learning has emerged as a topic of interest in academia due to the increased ease of accessing the Internet using using smart-phones and wireless devices. One of the challenges facing e-learning platforms is how to keep students motivated and engaged. Moreover, it is also crucial to identify the students that might need help in order to make sure their academic performance doesn't suffer. To that end, this paper tries to investigate the relationship between student engagement and their academic performance. Apriori association rules algorithm is used to derive a set of rules that relate student engagement to academic performance. Experimental results' analysis done using confidence and lift metrics show that a positive correlation exists between students' engagement level and their academic performance in a blended e-learning environment. In particular, it is shown that higher engagement often leads to better academic performance. This cements the previous work that linked engagement and academic performance in traditional classrooms.

Original languageEnglish
Title of host publicationEDUNINE 2018 - 2nd IEEE World Engineering Education Conference
Subtitle of host publicationThe Role of Professional Associations in Contemporaneous Engineer Careers, Proceedings
EditorsMelany M. Ciampi, Claudio da Rocha Brito
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)9781538648896
DOIs
StatePublished - 29 Aug 2018
Externally publishedYes
Event2nd IEEE World Engineering Education Conference, EDUNINE 2018 - Buenos Aires, Argentina
Duration: 11 Mar 201814 Mar 2018

Publication series

NameEDUNINE 2018 - 2nd IEEE World Engineering Education Conference: The Role of Professional Associations in Contemporaneous Engineer Careers, Proceedings

Conference

Conference2nd IEEE World Engineering Education Conference, EDUNINE 2018
Country/TerritoryArgentina
CityBuenos Aires
Period11/03/1814/03/18

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 4 - Quality Education
    SDG 4 Quality Education

Keywords

  • Apriori Algorithm
  • Association Rules
  • Confidence
  • Lift
  • Support
  • e-Learning

ASJC Scopus subject areas

  • Engineering (miscellaneous)
  • Education
  • Communication

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