Learning Analytics and Deep Learning in Large Virtual Learning Environments (VLEs)

Wechie, Nkesi; Brayshaw, Mike; Gordon, Neil

Abstract

In this paper we look at the use of Deep Learning as a technique for Education Data Mining and Learnng Analytics. We discuss existing approaches and how Deep Learning can be used in a complimentary manner in order to provide new and insightful perspectives to existing Learning Analytics Tools and Machine Learning Algorithms. The paper first outlines the context, before considering the use of Big Data. A case study of a Large Virtual Learning Environment (VLE) is introduced. The paper presents a series of Deep Learning Experiments with this Data Set and the new insights this has led to. The paper concludes with a discussion of how this approach compliments other Learning Analytic work in a similar context.

Citation

Wechie, N., Brayshaw, M., & Gordon, N. (2022). Learning Analytics and Deep Learning in Large Virtual Learning Environments (VLEs). International Journal on Engineering Technologies and Informatics, 3(1), 1-3. https://doi.org/10.51626/ijeti.2022.03.00029

• Journal Article Type: Article
• Acceptance Date: Jun 6, 2022
• Online Publication Date: Jun 8, 2022
• Publication Date: Jun 8, 2022
• Deposit Date: Jun 16, 2022
• Publicly Available Date: Jun 16, 2022
• Journal: International Journal on Engineering Technologies and informatics
• Peer Reviewed: Peer Reviewed
• Volume: 3
• Issue: 1
• Pages: 1-3
• DOI: https://doi.org/10.51626/ijeti.2022.03.00029
• Keywords: Learning analytics; Educational data mining; Deep learning
• Public URL: https://hull-repository.worktribe.com/output/4014812
• Publisher URL: https://skeenapublishers.com/journals/ijeti/