Open Educational Resources

Document Type

Tutorial

Publication Date

2024

Abstract

View the tutorial at: https://esilberberg.github.io/AI-Teacher-Reviews-Lesson/

In this tutorial, you'll try your hand at building your own AI tools that analyze sentiment in student feedback with the Google Gemini LLM and Python. Through experience using the technology, you'll better understand the benefits, biases, and best practices of this approach to teacher performance evaluations. You'll learn how to:

  1. Configure the Gemini API, integrate it into Python functions, and analyze a set of student feedback with these functions.
  2. Refine function output by way of prompt engineering.
  3. Critically analyze the use of AI in teacher performance reviews.

Comments

View the tutorial at: https://esilberberg.github.io/AI-Teacher-Reviews-Lesson/

This classroom material was created for the 2024-25 CUNY Building Bridges of Knowledge program funded by the Lumina Foundation to support students to use generative AI ethically and responsibly.

Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial 4.0 License

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