Improving retention for all students, studying mathematics as part of their chosen qualification, by using a voluntary diagnostic quiz

Carol Calvert, Rachel Hilliam, Juliet Coleman

Abstract


This case study demonstrates the issues and advantages in encouraging students to take responsibility for their learning and to be better prepared both in terms of knowledge and expectations for their study. The study outlines the improvement in retention achieved when students were encouraged to use a voluntary diagnostic quiz on a first year University mathematics module. Initially the power of the diagnostic quiz, in predicting future success on the module, was identified using predictive analytics. Students were contacted by experienced Education Guidance staff who encouraged them to take the quiz prior to course start with the aim of using their results to steer them to start on the right course. The diagnostic quiz total score was made available to the students course tutor prior to course start to enable further tailoring of support to individual students. Early indications show an improvement in early in module retention. The module in this case study was for distance learning students on an open access mathematics course.


Keywords


diagnostic quiz, predictive analytics, retention, distance education, learning analytics

Full Text:

PDF

References


Batchelor, H., 2004. The importance of a Mathematics Diagnostic Test for Incoming Pharmacy Undergraduates. Pharmacy Education, 4(2), pp.69-74.

Calvert, C., 2014. Developing a model and applications for probabilities of student success: a case study of predictive analytics. Open Learning, 29(2), pp.160-173.

Donavan, D. and Loch, B., 2013. Closing the feedback loop: engaging students in large first-year mathematics test revision sessions using pen-enabled screens. International Journal of

Mathematical Education in Science and Technology, 14(1), pp.1-13.

Engineering Council, 2000. Measuring the Mathematics Problem. [pdf] London: Engineering Council. Available at:

http://www.engc.org.uk/engcdocuments/internet/Website/Measuring%20the%20Mathematic%20Problems.pdf [Accessed 24 March 2016]

Freijy, T. and Kothe, E., 2013. Dissonance-based interventions for health behaviour change: A systematic review. British Journal of Health Psychology,18(2), pp.310-337.

Lockwood, F., 1989. The evaluation of Open University preparatory packages, Open Learning: The Journal of Open, Distance and e-Learning, 4(2), pp.43-46.

OUUK, 2016. Maths Choices [online] Available at: http://mathschoices.open.ac.uk/are-you-readyquizzes/

mst124-quiz [Accessed: 24 March 2016]

Simpson, O., 2006. Predicting student success in open and distance learning. Open learning, 21(2), pp.125-138

Slade, S and Prinsloo, P., 2013. Learning analytics: ethical issues and dilemmas. American Behavioural Scientist, 55(10) pp.1509-1528.




DOI: https://doi.org/10.21100/msor.v14i3.312

Refbacks

  • There are currently no refbacks.