Carousel Mini-Module: Drafting Letters of Recommendation

In this mini-module, participants will learn how to draft letters of recommendation using AI. This choose-your-own-adventure module allows participants to either use Google Notebook LM to generate personalized letters based on deidentified previous letters or use any text-generating AI to create a generic letter that can be customized. This module is particularly useful for those looking to save time while ensuring the letters remain authentic and personalized.

Bonus Introduction:

If you are not interested in the podcast, go to the Vanilla Intro below.

A Google NotebookLM podcast generated from the Vanilla Intro.

Vanilla Introduction:

Below you'll find a mini-module about drafing letters of recommendation using AI. This mini-module is a choose your own adventure module with three options! You can use Google Notebook LM and upload a bank of your previous letters of recommendation that have been deidentified (student last names and contact information removed), so the AI generates a letter that sounds like you. OR you can use any text generating AI and have it generate a generic letter of recommendation that you may need to spend more time making sound like you. OR you can use AI to generate a letter of recommendation template for students performing at different levels in your core courses that you can update with specific student information. I'll be honest. I prefer the output from Google NotebookLM. I didn't need to make as many revisions to make it sound like me. Corey's template is a great strategy if you have a lot of students from similar courses needing letters. Watch the videos with all three methods to help you decide which to try!