Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/88736
Title: | A learning analytics approach to the evaluation of an online learning package in a Hong Kong University | Authors: | Foung, D Chen, J |
Issue Date: | Mar-2019 | Source: | Electronic journal of e-Learning, Mar. 2019, v. 17, no. 1, p. 11-24 | Abstract: | In recent years, research using learning analytics to predict learning outcomes has begun to increase. This emerging field of research advocates the use of readily-available data to inform teaching and learning. The current case study adopts a learning analytics approach to evaluate the online learning package of an academic English course in a university in Hong Kong. This study aims to (1) explore the completion pattern of use of the online learning package by students in a generic undergraduate academic skills course; and (2) predict student outcomes based on their online behaviour patterns. Over three academic years, the study examined usage logs for 7000+ students that were available on the university's learning management system. Student assessment component scores, online activity completion rates, and online behavioural patterns were identified and examined using descriptive analysis, bivariate correlation analysis, and multiple regression analysis. The findings reveal insights into different online learning behavioural patterns that would benefit blended course designers. For instance, some students started using the online learning package early in the semester but fulfilled only the minimum required online work, whereas others greatly exceeded the basic requirement and continued doing activities in the online package even after the semester had finished. The relationship between learning activities in the online package and assessment component grades was found to be weak but meaningful. A regression model was developed drawing on the completion rates to predict overall student scores, and this model successfully identified several specific factors, such as total number of attempts and performance in individual online learning activities, as predictors of the final course grade. | Keywords: | Learning analytics Blended learning Online learning package English for academic purposes Hong Kong Course design |
Publisher: | Academic Conferences Ltd | Journal: | Electronic journal of e-Learning | EISSN: | 1479-4403 | Rights: | ©ACPIL This work is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/) The following publication Foung, D., & Chen, J. (2019). A learning analytics approach to the evaluation of an online learning package in a Hong Kong University. Electronic Journal of E-Learning, 17(1), 11-24 is available at http://www.ejel.org/volume17/issue1 |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Foung_Learning_Analytics_Approach.pdf | 933.73 kB | Adobe PDF | View/Open |
Page views
69
Last Week
0
0
Last month
Citations as of Apr 28, 2024
Downloads
25
Citations as of Apr 28, 2024
WEB OF SCIENCETM
Citations
14
Citations as of May 2, 2024
Google ScholarTM
Check
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.