TeacherMatic Case Study
Birkbeck
Generating feedback for teaching observations
Jade Mills, Digital Education Consultant from Birkbeck
October 2025
This case study outlines the implementation and impact of using AI-generated feedback prompts via TeacherMatic to support teaching observations during the Start to Teach session. The initiative aimed to streamline the feedback process for Micro-teach observations and improve the consistency and quality of feedback provided to new student teaching staff.
Background
As part of the Start to Teach programme, teaching observations were conducted to assess student Micro-teach presentations. To support observers and enhance the efficiency of feedback delivery, TeacherMatic’s feedback generator was utilised to create tailored prompts aligned with Level 7 (postgraduate) expectations.
Methodology
Tool Used: TeacherMatic Feedback Generator
Target Audience: University graduates (Level 7)
Focus Areas for Feedback:
Slide presentation quality
Data Inputs:
This resulted in summary feedback as shown below:
Generating feedback for teaching observations
Jade Mills, Digital Education Consultant from Birkbeck
October 2025
This case study outlines the implementation and impact of using AI-generated feedback prompts via TeacherMatic to support teaching observations during the Start to Teach session. The initiative aimed to streamline the feedback process for Micro-teach observations and improve the consistency and quality of feedback provided to new student teaching staff.
Background
As part of the Start to Teach programme, teaching observations were conducted to assess student Micro-teach presentations. To support observers and enhance the efficiency of feedback delivery, TeacherMatic’s feedback generator was utilised to create tailored prompts aligned with Level 7 (postgraduate) expectations.
Methodology
Tool Used: TeacherMatic Feedback Generator
Target Audience: University graduates (Level 7)
Focus Areas for Feedback:
Slide presentation quality
- Session structure
- Public speaking skills
- Use of learning technology
- Accessibility considerations
Data Inputs:
- AI-generated examples of Micro-teach presentations across the Faculty of Science, the Faculty of Business and Law (FBL) and the Faculty of Humanities and Social Sciences (FHSS)
- Original Observer Form with marking criteria
This resulted in summary feedback as shown below:
The feedback prompts were compiled into a master document and made available via SharePoint for observer use.
Findings
Out of 12 completed Observer Forms:
Conclusion
The integration of TeacherMatic feedback prompts into the teaching observation process proved beneficial. It streamlined the feedback workflow, supported observers with high-quality comments, and ensured alignment with assessment criteria.
Findings
Out of 12 completed Observer Forms:
- 4 forms directly used TeacherMatic-generated feedback comments
- Additional forms contained feedback with similar wording to the prompts This indicates that TeacherMatic contributed to time savings and consistency in feedback delivery.
Conclusion
The integration of TeacherMatic feedback prompts into the teaching observation process proved beneficial. It streamlined the feedback workflow, supported observers with high-quality comments, and ensured alignment with assessment criteria.
