Improving student learning in dissertation research through feedback studies. The Sheffield Hallam Building surveying experience

According to George and Cowan (1999) student feedback is essential to enable lecturers to understand whether attempts to improve learning and educational experience lead to improvement. Current UK practice uses end of module questionnaires to feedback levels of satisfaction (Cowan, 2002). There are inherent weaknesses, namely that it seldom leads to a change for that particular cohort of students, secondly it relies on uncorroborated opinion, and may derive from superficial feedback from a minority of students with the remainder suffering from questionnaire fatigue. Finally the data may not be especially relevant to a particular module, a particular weakness (Heywood, 2000).

Using principles identified by Angelo and Cross (1993), this research adopted a methodology to formatively evaluate student perceptions and levels of satisfaction with the dissertation module. Using a cohort of Building Surveying students at Sheffield Hallam University, in England, views on course materials, the use of Blackboard software, the workshops and the relationships with supervisors were gathered and analysed.

A number of measures were identified as a result of this study, that may, if implemented, improve student learning. Examples are the use of checklists for student for each research / dissertation stage to ensure nothing is forgotten. Provision of additional ‘drop in’ workshops where students could see the module leader with specific issues. Additional optional workshops for questionnaire coding and review of previous theses for example.

It will not be possible to measure whether this student cohort’s learning and performance improves until the summer of 2003 and the final dissertations are assessed. A statistical analysis, comparing their dissertation marks against marks for other topics will show whether there is improvement in marks as a result of this student feedback study. The 2002/3 cohort result can also be analysed against previous cohorts to establish whether any improvement is evident.