WEAT

The Worked Example Authoring Tool (WEAT) is an innovative tool designed to facilitate the creation of worked examples for programming education through a human-AI collaboration approach. By integrating ChatGPT, WEAT assists instructors in generating line-by-line explanations for code examples in Java and Python. Instructors can provide the code and problem statement, and WEAT uses ChatGPT to generate explanations for each line of code. These explanations can then be reviewed, edited, and added into the worked examples, streamlining the process of creating educational programming materials.

Click here to access the WEAT, use your account credentials and login into the tool or create an account if you don't have one (please send an email to Mohammad Hassany [moh70@pitt.edu] to activate your account).

Please watch this video tutorial or read the user manual to learn more about our tool.

Worked Example Authoring Tool: Hub Page.