University Students' Perceptions of the Learning Environment and Academic Outcomes: Implications for theory and practice
Abstract
The relationship between university students' perceptions of their academic environment, their approaches to study, and academic outcomes was investigated at both university and faculty levels. The responses of a large, cross-disciplinary sample of undergraduate students were analysed using higher order path and regression analyses, and the results confirmed students' perceptions as influencing both 'hard' (academic achievement) and 'soft' (satisfaction, development of key skills) learning outcomes, both directly and mediated through their approaches to study. Perceptions of heavy workload and inappropriate assessment influenced students towards surface, and perceptions of good teaching towards deep, approaches to study. Students' perceptions of their current learning environment were a stronger predictor of learning outcomes at university than prior achievement at school. Protocols are proposed to guide more fine-grained analysis of students' perceptions.
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?
Numerous studies have highlighted the importance of students' perceptions of their learning situations.
“Numerous studies have highlighted the importance of students' perceptions of their learning situations (Jackson & Prosser, 1989;Crawford, Gordon, Nicholas, & Prosser, 1994;Lizzio, Wilson, & Simons, 2002;Trigwell, Hazel, & Prosser, 1996;Struyven, Dochy, & Janssen, 2003).”
From Worked Example Mid-Semester Intervention in College Algebra (2022) · cites this paper as Lizzio, Wilson, & Simons, 2002
Cites
Hu, L., & Bentler, P. M. (1999) · Structural Equation Modeling A Multidisciplinary Journal · doi:10.1080/10705519909540118 · Cited by 108,788 · see citing works
Formative assessment and the design of instructional systems
Sadler, D. R. (1989) · Instructional Science · doi:10.1007/bf00117714 · Cited by 4,285 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Baeten, M., Kyndt, E., Struyven, K., & Dochy, F. (2010) · Educational Research Review · doi:10.1016/j.edurev.2010.06.001 · Cited by 885 · see citing works
Evoked prior learning experience and approach to learning as predictors of academic achievement
Trigwell, K., Ashwin, P., & Millan, E. S. (2013) · British Journal of Educational Psychology · doi:10.1111/j.2044-8279.2012.02066.x · Cited by 125 · see citing works
Hendry, G. D., & Anderson, J. (2013) · Assessment & Evaluation in Higher Education · doi:10.1080/02602938.2012.703998 · Cited by 36 · see citing works
An evaluation of advanced simulation in nursing: A mixed-method study
Chiang, V. C. L., & Chan, S. S. C. (2014) · Collegian · doi:10.1016/j.colegn.2013.05.003 · Cited by 28 · see citing works
Worked Example Mid-Semester Intervention in College Algebra
Miller, D., & Schraeder, M. (2022) · Journal of Research in Mathematics Education · doi:10.17583/redimat.9645
- Authors
- Lizzio, A., Wilson, K., & Simons, R.
- Venue
- Studies in Higher Education
- Publisher
- Informa UK Limited
- Published
- 2002-02
- Volume
- 27
- Issue
- 1
- Pages
- 27-52
- ISSN
- 0307-5079 (ISSN-L)
- 1470-174X
- OpenAlex
- W2121224052
- Cited by
- 1,415
- References
- 2
- Citations by year
- 2026: 52 · 2025: 41 · 2024: 60 · 2023: 90 · 2022: 72 · 2021: 111 · 2020: 86 · 2019: 77 · 2018: 90 · 2017: 88 · 2016: 79 · 2015: 80 · 2014: 87 · 2013: 89 · 2012: 52
- FWCI
- 95.39
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Studies in Higher Education (publishedVersion)
- Griffith Research Online (submittedVersion)
- Topics
- Social Sciences › Education › Evaluation of Teaching Practices
- Social Sciences › Education › Higher Education Research Studies
- Social Sciences › Education › Educational Environments and Student Outcomes
- Keywords
- student perceptions, learning environment, academic performance, learning methods, surface learning, deep learning, student satisfaction, workload, assessment practices, teaching quality, undergraduate students
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