147815 - Revealing impact factors on student engagement.pdf (3.39 MB)
Revealing impact factors on student engagement: Learning analytics adoption in online and blended courses in higher education
journal contribution
posted on 2023-05-21, 04:12 authored by Si FanSi Fan, Chen, L, Saurabh GargSaurabh Garg, Soonja YeomSoonja Yeom, Kregor, G, Yang, Y, YanJun WangYanJun WangThis study aimed to identify factors influencing student engagement in online and blended courses at one Australian regional university. It applied a data science approach to learning and teaching data gathered from the learning management system used at this university. Data were collected and analysed from 23 subjects, spanning over 5500 student enrolments and 406 lecturer and tutor roles, over a five-year period. Based on a theoretical framework adapted from Community of Inquiry (CoI) framework by Garrison et al. (2000), the data were segregated into three groups for analysis: Student Engagement, Course Content and Teacher Input. The data analysis revealed a positive correlation between Student Engagement and Teacher Input, and interestingly, a negative correlation between Student Engagement and Course Content when a certain threshold was exceeded. The findings of the study offer useful suggestions for future course design, and pedagogical approaches teachers can adopt to foster student engagement.
History
Publication title
Education SciencesVolume
11Issue
10Article number
educsci11100608Number
educsci11100608Pagination
1-17ISSN
2227-7102Department/School
Faculty of EducationPublisher
MDPI AGPlace of publication
SwitzerlandRights statement
Copyright 2021 The Authors. Licensed under Creative Commons Attribution 4.0 International (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/Repository Status
- Open