Discover the power of NotebookLM, the advanced AI-powered research and note-taking assistant available to all University of Michigan faculty, staff, and students. Designed to help you understand and synthesize information from your own documents, NotebookLM transforms your lesson plans, lecture notes, and research papers into a dynamic knowledge base. By grounding its responses entirely in your sources, it becomes your most trusted research partner.
Recent Updates & Key Takeaways Include:
- Active Learning Tools: Instantly generate flashcards and customized quizzes from your uploaded sources to enhance recall and test mastery.
- Learning Guide Mode: Use the new “Learning Guide” to receive personalized tutoring, breaking down complex concepts step-by-step with probing, open-ended questions that encourage deeper critical thinking.
- Enhanced Reporting: Go beyond standard summaries by generating upgraded reports in custom formats, including Blog Posts, Glossary of Terms, FAQs, and Quizzes.
- Multiformat Audio and Video Overviews: Transform your documents into engaging “podcasts”, perfect for on-the-go learning and diverse perspective-taking. Explore the new Video Overview to create a dynamic presentation based on your sources.
- Source Versatility: Upload a wide range of source materials, including PDFs, Google Docs/Slides, and even web links, for comprehensive information synthesis.
Workshop Outline:
- Introduction to NotebookLM:
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- Understanding NotebookLM as an AI-powered research and note-taking assistant.
- Overview of how it utilizes only your uploaded documents for information synthesis and provides citations.
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- Practical Applications and New Features:
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- Demonstration of uploading diverse source materials.
- Generating Flashcards and Quizzes for study and review.
- Utilizing the Learning Guide for in-depth conceptual mastery.
- Creating customized reports, Audio Overviews, and Video Overviews in new formats.
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- Accelerating Knowledge Sharing:
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- Examples of generating lesson plans, discussion questions, and study guides.
- Q&A on NotebookLM features and usage.
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- Privacy and Terms of Service:
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- Overview of the ITS AI Services Privacy Notice and Terms of Service (emphasizing data is not used to train the AI).
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- Wrap-up and Resources
Audience: Students, Instructors, Staff
Recommended Prerequisites:
A or B:
A. Introduction to GenAI: Unpacking Key Concepts (Mini Workshop)
B. Generative AI Basics (Full Workshop)
C or D:
C. Critical Challenges in GenAI: Exploring Privacy, Ethical Implications, Integrity, and Bias (Mini Workshop)
D. Generative AI Basics (Full Workshop)
E or F:
E. From Basics to Brilliance: Prompt Engineering with U-M GPT (Mini Workshop)
F. Generative AI with U-M GPT (Full Workshop)
Zoom join URL: https://umich.zoom.us/j/98888582214
This workshop is part of the new ITS Generative AI Mini-Workshop Series designed to offer a rich, engaging experience in just 60 minutes per session. With an expanded range of topics, these ten workshops are tailored to meet the varied interests and needs of instructors, staff, and students.
Participants will be able to earn new badges for participating in the series. Visit the ITS Generative AI Workshop Series page to learn more about the series.
Session Details
Location:
Remote, Check Session Description for URL Remote
, Off Campus (view map)
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Session level: Beginner
Sponsor(s): ITS Teaching and Learning
Presenter(s): Angela Marocco
