Unsupervised learning for understanding student achievement in a distance learning setting
MetadataShow full item record
This item's downloads: 38 (view details)
Liu, Shuangyan, & d'Aquin, Mathieu. (2017). Unsupervised learning for understanding student achievement in a distance learning setting. Paper presented at the IEEE Global Engineering Education Conference (EDUCON), Athens. doi: 10.1109/EDUCON.2017.7943026
Many factors could affect the achievement of students in distance learning settings. Internal factors such as age, gender, previous education level and engagement in online learning activities can play an important role in obtaining successful learning outcomes, as well as external factors such as regions where they come from and the learning environment that they can access. Identifying the relationships between student characteristics and distance learning outcomes is a central issue in learning analytics. This paper presents a study that applies unsupervised learning for identifying how demographic characteristics of students and their engagement in online learning activities can affect their learning achievement. We utilise the K-Prototypes clustering method to identify groups of students based on demographic characteristics and interactions with online learning environments, and also investigate the learning achievement of each group. Knowing these groups of students who have successful or poor learning outcomes can aid faculty for designing online courses that adapt to different students' needs. It can also assist students in selecting online courses that are appropriate to them.
This item is available under the Attribution-NonCommercial-NoDerivs 3.0 Ireland. No item may be reproduced for commercial purposes. Please refer to the publisher's URL where this is made available, or to notes contained in the item itself. Other terms may apply.
The following license files are associated with this item:
Showing items related by title, author, creator and subject.
Training socially responsive healthcare graduates: Is Service Learning an effective educational approach? Mc Menamin, Ruth; Mc Grath, Margaret; Cantillon, Peter; MacFarlane, Anne (Taylor & Francis, 2014-02-06)Health care educators strive to train graduates who are socially responsive and can act as “change agents” for communities they serve. Service learning (SL) is increasingly being used to teach the social aspects of health ...
Lang, Michael; Costello, M. (2009)This paper explores the factors which affect students¿ learning using on-line discussion boards. Following prior research into the use and acceptance of information technology in general, and of educational ...
O'Malley, Sarah (2014-11-01)The outcome of environmental education to solve the ecological crises by producing an environmentally sustainable society is uncertain. The marginalisation of environmental education in mainstream education, its precarious ...