Specific, timely and actionable feedback

Course convenor for NEUR3121 Molecular and Cellular Neuroscience, since designed and implemented in 2009. Consistent overall course satisfaction above 95.7% agreement (5.28 / 6) in the past four years, which is above the mean scores for the School of Medical Sciences and Faculty of Medicine in this period. This has been sustained over the past 10 years, with a mean score for overall satisfaction of 5.2 / 6 from the course evaluations over this time. This has been achieved with a process of continued reflection on feedback from the students, reflection on my experience with the course and implementation of changes in an 'incremental evolution' fashion, rather than large scale changes, to address the needs of students for more flexible learning and to take advantage of learning technologies. This approach has seen the refinement in the way in which feedback is provided to students on all assessment items. The feedback provided on mid-term exams includes individual mark breakdown (delivered via Moodle), information on overall mark distribution in the class. This level of analysis allows me to highlight what aspects were done well and to address any misconceptions that may have arisen on each question. Feedback on how students are performing at key milestones in a scaffolding the collaborative project increase understanding of the expected standard of the task and the application of the assessment rubric before submission of the final report. Individual feedback is provided via adaptive Moodle lessons, which allow for self-paced learning of key concepts and skills, and supports students wanting to access learning materials when it is convenient for them. All of this is achieved by leveraging the capabilities of Moodle to deliver the feedback.

A summary of the scores obtained from course evaluation surveys for the overall student satisfaction with the quality of the course from 2016 to 2019. Where available, the School and Faculty mean scores are also shown for comparison. The percentage agree is the aggregation of the strongly agree, agree and moderately agree responses to the survey question.