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 language | English |
|---|---|
| Title of host publication | EDUNINE 2018 - 2nd IEEE World Engineering Education Conference |
| Subtitle of host publication | The Role of Professional Associations in Contemporaneous Engineer Careers, Proceedings |
| Editors | Melany M. Ciampi, Claudio da Rocha Brito |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Print) | 9781538648896 |
| DOIs | |
| State | Published - 29 Aug 2018 |
| Externally published | Yes |
| Event | 2nd IEEE World Engineering Education Conference, EDUNINE 2018 - Buenos Aires, Argentina Duration: 11 Mar 2018 → 14 Mar 2018 |
Publication series
| Name | EDUNINE 2018 - 2nd IEEE World Engineering Education Conference: The Role of Professional Associations in Contemporaneous Engineer Careers, Proceedings |
|---|
Conference
| Conference | 2nd IEEE World Engineering Education Conference, EDUNINE 2018 |
|---|---|
| Country/Territory | Argentina |
| City | Buenos Aires |
| Period | 11/03/18 → 14/03/18 |
Bibliographical note
Publisher Copyright:© 2018 IEEE.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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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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