December 4: NotebookLM Deep Learning 🎧

Educational Innovation

🎯 Objective:

Explore NotebookLM's ability to transform written content into engaging audio discussions while learning about making AI more inclusive and accessible (Listen to the Sully Podcast). Please note, this tool is free and available for use, however, you will need to sign up for an account with a personal Gmail account. At this time, access with your BC account is granted on a case by case basis.

🛠️ Tools:

• NotebookLM (Free)
• Source materials:
  • Legal cases
  • Research papers
  • Educational content
  • Personal writing
  • Class Notes

📝 Challenge:

Choose one of these pathways:

1. Legal Learning Path:

   • Download a fundamental legal case (e.g., International Shoe v. Washington)
   • Upload to NotebookLM
   • Create an audio discussion
   • Compare the AI's explanation to traditional study methods

2. Research Understanding Path:

   • Choose a complex article, paper, or YouTube lesson or workshop
   • Add it to a Notebook as source material
   • Note how the AI contextualizes and explains difficult concepts

3. Resume Spotlight Path:

   • Upload your professional resume or CV
   • Generate a podcast-style career highlight discussion
   • Listen to NotebookLM's interpretation of your career journey
   • Note any surprising insights or perspectives

💡 Tip: The goal isn't to replace reading or traditional study methods, but to supplement them with different perspectives and learning styles. Consider how this tool could make complex content more accessible to different types of learners.

Bonus Challenge: Create two versions of the same content discussion - one for beginners and one for advanced learners. Compare how NotebookLM adapts its explanations for different audience levels.

🎓 Real-World Examples and Further Learning:

1. Legal Education Example
2. NotebookLM Podcast: Creating Sully: I uploaded my work in creating a custom chat assistant named Sully. This podcast was generated from the source material provided. In particular, I want to call out the "hosts" thoughtful discussion about inclusivity and stereotypes that should be considered when developing custom chat assistants, particularly those meant to capture local flair.
3. AI+ EDU Symposium: NotebookLM Demo

🤝 Inclusive Design Considerations:

• A reflective conversation I had with Gemini 1.5 Pro after listening to the "Creating Sully" podcast from NotebookLM
• How can AI voices and personalities reflect diverse backgrounds authentically?
• What stereotypes should we be careful to avoid?
• How can AI tools make education more accessible to different learning styles?