Learning Styles and On-Line Learning Analytics: An Analysis of Student Behaviour Based on the Honey and Mumford Model

0Citations
Citations of this article
6Readers
Mendeley users who have this article in their library.
Get full text

Abstract

This paper presents an analysis of student behaviour on a Learning Management System (LMS), as observed by means of learning analytics, and compares this against expected behaviour, as put forward by the Honey & Mumford Learning Styles Model (H&M LSM). The H&M Learning Styles Questionnaire (LSQ) was administered on-line to a class of 211 postgraduate students at an Irish university. A response rate of 25% was achieved, yielding 52 usable responses. Descriptive statistical analysis and hierarchical clustering was performed on the data, discovering ten clusters of learning styles, eight of which were distinct and could be quite clearly identified. The most common learning style found was ‘Reflector’ or variants thereof. Evidence of the existence of the ‘Pragmatist’, ‘Activist’ and ‘Theorist’ learning styles was also discovered. Overall, the study found sufficient evidence to suggest that the H&M LSM is a reasonable predictor of student behaviour on a LMS, notwithstanding its flaws and shortcomings.

Cite

CITATION STYLE

APA

Lang, M. (2023). Learning Styles and On-Line Learning Analytics: An Analysis of Student Behaviour Based on the Honey and Mumford Model. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 14060 LNCS, pp. 154–166). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-48060-7_12

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free