Teaching Evaluation Tool
A structured AI-assisted workflow for reflecting on course evaluations, their patterns and their limits.
The project
A public tool and downloadable package are not yet available. This page describes the project; it does not accept or process evaluation files.
What I built
I developed an AI-assisted workflow to help me read course evaluations across courses and semesters. It brings quantitative ratings and written comments into a Faculty Development Report.
The workflow has three parts:
- Examine quantitative indicators and the context needed to interpret them.
- Identify recurring themes in comments while keeping isolated concerns visible.
- Set out teaching strengths, areas to examine and three recommendations for improvement.
What still needs judgement
Low response rates and changing evaluation instruments can limit comparisons. Comments describe students’ perceptions; they do not establish what students learned. I remain responsible for interpreting the report and deciding what, if anything, to change.