Using Chat GPT to Help Write Assessment Feedback as a Coach Developer

Walkthrough Contents

Introduction

This is a walkthrough of how I use Chat GPT to support writing ongoing feedback for learners on coaching courses I deliver. A key principle for me is not dehumanising ourselves as professional practitioners and assessors in this context, therefore this is focused on saving time and being more robust with judgements. The two can co-exist and I believe I am working towards both of these simultaneously.

Transcribe everything

Firstly, you need to ensure all of your discussions are transcribed. I meet with learners in groups and individually on courses I deliver, and by transcribing our conversation, I can listen more attentively and respond to learner discussions, rather than trying to write quick or ineffective notes. I therefore hold all of my meetings in Microsoft Teams and use the transcribe option to help me with this. What I can do with this is the magical bit.

Assessment criteria

By using good prompts, I can copy and paste the transcript in and let AI organise, summarise and prioritise their discussions into notes. For example, I will sk Chat GPT to summarise the notes across each criteria, and for each coach. Within a few minutes of finishing the call, I now have notes linked to assessment criteria for each learner. If I want to expand the notes, or ask for more information, I can simply prompt Chat GPT to do so. This allows me to organise this for learners on course with their assessment documentation, allows me to engage in the conversation more effectively, and also reduces my bias of what I hear and what I therefore choose to write about. I can then tweak or add more information onto this. If I then interact with a learner individually or as a group after this, I can follow the same process and add to their notes. At the end, I can add their collated notes altogether into Chat GPT to ask for summaries, or to remove repetitive notes and comments.