Project-based learning integrated with e-Assessment

Ben Derrick, Iain Weir

Abstract


This paper explores a recent move towards project-based learning for a first-year undergraduate statistics module at the University of the West of England, Bristol. The course is aimed at students specialising in Mathematics and Statistics. A classroom-based end of module project week was developed with the focus on project-based learning, supported by Dewis-R data generation and e-Assessments. Simulation of a practice-based environment with a dedicated working area and daily deadlines is incorporated to enhance the activity. Students are faced with a highly relevant statistical analysis task, that is large and has not had the prior data screening or cleansing that they may be accustomed to in basic didactic teaching. Indications are that the project-based learning approach, assessed during a project week with supplementary e-Assessments and a final report, is well received and leads to improved student outcomes.


Keywords


project based learning; e-Assessments; statistics education

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References


Guo, P., Saab, N., Post, L.S. and Admiraal, W. (2020). A review of project-based learning in higher education: Student outcomes and measures. International Journal of Educational Research, 102, article 101586. https://doi.org/10.1016/j.ijer.2020.101586

Gwynllyw, D. R., Henderson, K. L., Van lent, J. and Guillot, E. G. (2020). Case study using Python in the teaching of numerical analysis. MSOR Connections, 18(2), pp.25-32. https://doi.org/10.21100/msor.v18i2.1100

Jisc (2020). The future of assessment: five principles, five targets for 2025. Bristol. https://repository.jisc.ac.uk/7733/1/the-future-of-assessment-report.pdf [Accessed 30 August 2022]

Karpiak, C.P. (2011). Assessment of problem-based learning in the undergraduate statistics course. Teaching of Psychology, 38(4), pp.251-254. https://doi.org/10.1177/0098628311421322

Kokotsaki, D., Menzies, V. and Wiggins, A. (2016). Project-based learning: A review of the literature. Improving Schools, 19(3), pp.267-277. https://doi.org/10.1177/1365480216659733

Larmer, J. and Mergendoller, J.R. (2010). Seven essentials for project-based learning. Educational Leadership, 68(1), pp.34-37.

Marshall, E. (2019). Embedding and assessing project-based statistics. MSOR Connections, 17(2), pp.75-82. https://doi.org/10.21100/msor.v17i2.979

Pearce, J., & Derrick, B. (2019). Preliminary testing: The devil of statistics? Reinvention: An International Journal of Undergraduate Research, 12(2). https://doi.org/10.31273/reinvention.v12i2.339

Sikurajapathi, I., Henderson, K. and Gwynllyw, R. (2020). Using e-Assessment to address mathematical misconceptions in engineering students. International Journal of Information and Education Technology, 10(5), pp.356-361. https://doi.org/10.18178/ijiet.2020.10.5.1389

Solomon, G. (2003). Project-based Learning: a Primer. techLEARNING. Available at: https://web.archive.org/web/20080512060230/http://www.techlearning.com/db_area/archives/TL/2003/01/project.php [Accessed on 09/11/2023]

Tarmizi, R.A. and Bayat, S. (2010). Effects of Problem-based Learning Approach in Learning of Statistics among University Students. Procedia - Social and Behavioral Sciences, 8, pp.384-392. https://doi.org/10.1016/j.sbspro.2010.12.054

Weir, I., Gwynllyw, R. and Henderson, K. (2017). Creating statistics e-assessments using Dewis with embedded R code. MSOR Connections, 15(2), pp.51-59. https://doi.org/10.21100/msor.v15i2.422




DOI: https://doi.org/10.21100/msor.v22i2.1477

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