Quantitative online student profiling to forecast academic outcome from learning styles using dendrogram decision models
Multicultural Education & Technology Journal
ISSN: 1750-497X
Article publication date: 10 October 2008
Abstract
Purpose
The purpose of this paper is to inform international student study strategies as well as course design and instructional approach.
Design/methodology/approach
Multiple research methods are applied, starting with exploratory data analysis, principal component analysis, confirmatory ordinal factor analysis, then recursive regression.
Findings
The meta‐cognitive impacts of international learning styles on academic performance over two courses are proven.
Research limitations/implications
The learning styles of multicultural university students are assessed using an online a priori instrument to determine predictive impact on academic performance across different courses.
Practical implications
The implications of the dendrogram models are briefly explained with respect to student counselling, student study strategies and teaching approaches. The findings are discussed with respect to rival learning style theories and to appease criticisms of meta‐analysis reviews.
Originality/value
Several statistically significant models were created including varimax and promax rotation solutions from ordinal factor analysis, as well as item response and latent factor dendrograms from recursive regression.
Keywords
Citation
Strang, K.D. (2008), "Quantitative online student profiling to forecast academic outcome from learning styles using dendrogram decision models", Multicultural Education & Technology Journal, Vol. 2 No. 4, pp. 215-242. https://doi.org/10.1108/17504970810911043
Publisher
:Emerald Group Publishing Limited
Copyright © 2008, Emerald Group Publishing Limited