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Retention factors in STEM education identified using learning analytics: a systematic review


Li, C and Herbert, N and Yeom, S and Montgomery, J, Retention factors in STEM education identified using learning analytics: a systematic review, Education Sciences, 12, (11) Article 781. ISSN 2227-7102 (2022) [Refereed Article]

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DOI: doi:10.3390/educsci12110781


Student persistence and retention in STEM disciplines is an important yet complex and multi-dimensional issue confronting universities. Considering the rapid evolution of online pedagogy and virtual learning environments, we must rethink the factors that impact studentsí decisions to stay or leave the current course. Learning analytics has demonstrated positive outcomes in higher education contexts and shows promise in enhancing academic success and retention. However, the retention factors in learning analytics practice for STEM education have not been fully reviewed and revealed. The purpose of this systematic review is to contribute to this research gap by reviewing the empirical evidence on factors affecting student persistence and retention in STEM disciplines in higher education and how these factors are measured and quantified in learning analytics practice. By analysing 59 key publications, seven factors and associated features contributing to STEM retention using learning analytics were comprehensively categorised and discussed. This study will guide future research to critically evaluate the influence of each factor and evaluate relationships among factors and the feature selection process to enrich STEM retention studies using learning analytics.

Item Details

Item Type:Refereed Article
Keywords:learning analytics, student retention, higher education, STEM
Research Division:Education
Research Group:Specialist studies in education
Research Field:Learning analytics
Objective Division:Education and Training
Objective Group:Learner and learning
Objective Field:Higher education
UTAS Author:Li, C (Miss Chunping Li)
UTAS Author:Herbert, N (Associate Professor Nicole Herbert)
UTAS Author:Yeom, S (Dr Soonja Yeom)
UTAS Author:Montgomery, J (Dr James Montgomery)
ID Code:154436
Year Published:2022
Deposited By:Information and Communication Technology
Deposited On:2022-11-30
Last Modified:2023-01-10

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