Multi‐dimensional evaluation for module improvement: a mathematics‐based case study

Abstract

Due to a poor module evaluation, mediocre student grades and a difficult teaching experience in lectures, the Data Analysis section of a first year core module, Research Methods for Social Sciences (RMSS), offered at the University of KwaZulu‐Natal in South Africa, was completely revised. In order to review the effectiveness of these changes in terms of student learning, a wide range of formative and summative evaluation methods were implemented. These indicated that module revision had largely been successful, although a number of areas for further improvement were highlighted. An analysis of the nature of the feedback of each method emphasised the importance of using a multi‐dimensional approach as a means of obtaining reliable, authentic and valid data. Based on the findings of the study a procedural framework for module evaluation that considers issues such as purpose, sources of information, timing, methods, resource availability, implementation, action and critical reflection, is proposed.

Acknowledgements

The author wishes to express her appreciation to the students and tutors for their enthusiasm, participation and valuable and honest feedback in the study.