#  Using generative AI to improve the foundations of your course 

 



####  calendar\_today Date and Time 

 **April 18, 2025** 

 11:00AM - 12:30PM EDT 

####  pin\_drop Location 

 **SEC 1.412**  



 

 



 

Discussion Leader: Eric Mazur, PhD, Balkanski Professor of Physics and Applied Physics, Faculty Director LInc-   
  
In this workshop, you will:

1. **Develop a well-defined learning outcome** — either at the course level or at the topic level — that:
    - Uses an **action verb** [aligned with Bloom’s Taxonomy](https://drive.google.com/file/d/1IR8rvv2bhJuo7GfSHReySUgD7iYYe8Vr/view).
    - Clearly specifies the **subject of learning**.
    - Defines the **learning context**.
2. Develop an assessment strategy that provides measurable evidence of student progress toward each learning outcome.
3. Explore strategies that support the development and assessment of effective learning outcomes.

To participate in the workshop I'd like you to pick **ONE** learning outcome from your syllabus (or redesigned course) that you are happy with, and enter it into this short Google form — the learning outcome you provide can be either at the course-level or at the activity/topic level. Please also provide a matching example of how you are (or are planning to) assess students progress towards that learning goal.



 

 



 

 

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