Investigating the moderating effect of student engagement on academic performance
Open accessAbstract
The academic performance and success of students are important for both higher education institutions and students. Student engagement has been identified as a crucial factor in academic success. Studies investigating student engagement have typically used self-report measures of engagement, collected at a given point in time. Self-report measures are, however, prone to positive bias (social desirability). In an attempt to overcome these shortfalls, data were collected over three years (2010-2012) in a third-year Business Management module, presented at a South African university (n=380). Academic and behavioural student engagement was measured by assessing academic activities (class attendance and weekly homework assessments), rather than with a self-report measurement scale. Unlike previous studies that correlated student engagement with academic performance, this article argues that student engagement enhances academic performance. It was found that student engagement significantly moderated the relationship between early and late semester assessments of academic performance (semester test and examination marks). It was, therefore, concluded that higher levels of engagement enhance the learning experience and subsequent performance in the module. High levels of student engagement may even lead to higher, than would otherwise be expected, academic performance.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Higher levels of student engagement enhance both the learning experience and students' academic achievement.
“This is consistent with reports in the literature that higher levels of student engagement enhance both the learning experience and students' academic achievement (Gerber et al., 2013;Lei et al., 2018).”
From Replacing Traditional Written Laboratory Reports with Interactive Oral Assessments: Enhancing Laboratory Skill Assessment in Undergraduate Genetics Education (2026) · cites this paper as Gerber et al., 2013
Cited by
Sorted by citations
Della Vedova, C. B., Birbeck, D., & Davey, S. K. (2026) · Research in Science Education · doi:10.1007/s11165-026-10380-3
- Authors
- Gerber, C., Mans-Kemp, N., & Schlechter, A.
- Affiliations
- Stellenbosch University (ZA)
- University of Cape Town (ZA)
- Venue
- Acta Academica: Critical views on society, culture and politics
- Publisher
- University of the Free State
- Published
- 2013-12-20
- Volume
- 45
- Issue
- 4
- Pages
- 256-274
- ISSN
- 0587-2405 (ISSN-L)
- 2415-0479
- OpenAlex
- W2171921591
- Cited by
- 26
- References
- 0
- Citations by year
- 2025: 5 · 2024: 1 · 2023: 3 · 2022: 1 · 2021: 4 · 2020: 1 · 2019: 3 · 2018: 3 · 2016: 4 · 2015: 1
- FWCI
- 7.52
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Locations
- Acta Academica Critical views on society culture and politics (publishedVersion)
- SUNScholar (Stellenbosch University) (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Acta Academica Critical views on society culture and politics
- Topics
- Social Sciences › Education › Higher Education Research Studies
- Social Sciences › Education › Educational Outcomes and Influences
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Education, Achievement, and Giftedness
- Keywords
- student engagement, academic performance, moderating effect, behavioral engagement, academic engagement, class attendance, homework, self-report bias, social desirability bias, business management education, higher education, longitudinal assessment
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review