The Open UniversitySkip to content
 

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

Calvert, Carol; Hilliam, Rachel and Coleman, Juliet (2016). Improving retention for all students, studying mathematics as part of their chosen qualification, by using a voluntary diagnostic quiz. MSOR Connections, 14(3) pp. 32–38.

Full text available as:
[img]
Preview
PDF (Version of Record) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Download (884kB) | Preview
URL: https://journals.gre.ac.uk/index.php/msor/article/...
Google Scholar: Look up in Google Scholar

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 student’s course tutor prior to course start to enable further tailoring of support to individual students. Early indications show an improvement in early module retention. The module in this case study was for distance learning students on an open access mathematics course.

Item Type: Journal Item
Copyright Holders: 2016 The Authors
ISSN: 2051-4220
Keywords: diagnostic quiz; predictive analytics; retention; distance education; learning analytics
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Mathematics and Statistics
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Item ID: 47758
Depositing User: Carol Calvert
Date Deposited: 07 Nov 2016 14:12
Last Modified: 25 Aug 2019 12:54
URI: http://oro.open.ac.uk/id/eprint/47758
Share this page:

Download history for this item

These details should be considered as only a guide to the number of downloads performed manually. Algorithmic methods have been applied in an attempt to remove automated downloads from the displayed statistics but no guarantee can be made as to the accuracy of the figures.

Actions (login may be required)

Policies | Disclaimer

© The Open University   contact the OU