Скачать или смотреть Long Talk 6, Day 1: Developing adaptive feedback processes through coding

Feedback as Data: developing adaptive feedback processes through coding

Phil McAleer, Lisa DeBruine & Helena Paterson

Since integrating coding skills across research methods teaching within our School, much has been made about the benefits to student development (McAleer et al, 2022, https://osf.io/hq68s_v1). In contrast, the benefits to staff have been less documented. Alongside development of analytical skills, one area in which this integration can benefit staff is in enhancing our approach to assessment and feedback. Over the past decade, we have developed procedures to help build flexible and adaptive feedback for students, using documents designed round the feedback, not the other way round, resulting in feedback that is more informative and usable by students. In addition, we have introduced techniques to rapidly extract and summarise feedback comments given by staff, helping staff generate informative class-level feedback as well as shape future iterations of their modules based on common issues and misunderstandings across submissions. Key to this approach is seeing feedback as data, and through freely available packages in R, and working with Microsoft Office, we will showcase the techniques we use. Feedback is a crucial part of skill development and with these approaches and stance we hope to show that the process can be both highly efficient and effective for both students and staff.