Course info
Course name, AI-Assisted Research: Getting Started with NotebookLM
Academic Technologies Department (formerly LTS) Type of course Tools for Teaching
About the course
Upcoming Classes
Class times are Eastern Time (UTC-05:00)
Class info 1
Jan 14 (Tue), 11:00 am - 11:40 am
Section Id: Getting Started with NotebookLM 011425
Location: Online
- Michael Vaughn
Class info 2
Jan 15 (Wed), 11:00 am - 11:40 am
Section Id: Getting Started with NotebookLM 011525
Location: Online
- Michael Vaughn
Description
Join us for a 40-minute webinar where we’ll explore how Google’s NotebookLM can support your research and note-taking processes.
🎥 This session will be recorded.
NotebookLM is an AI-powered tool designed to help you synthesize information from multiple, diverse sources, including PDFs, Google Docs, YouTube videos (if captioned), and web pages. It serves as a virtual research assistant, capable of summarizing content, explaining complex ideas, and generating new insights based on your selected materials. You can even share your assistant with students, allowing them to ask questions about the resources you've chosen to share.
In this session, we’ll cover: ➡️ Introduction to NotebookLM: Understand the core features and benefits of using this AI-driven platform for research and note-taking. ➡️ Uploading and Managing Sources: Learn how to import documents, web links, and other materials into NotebookLM to create a personalized AI assistant tailored to your research needs. ➡️ Interactive Q&A with Your Documents: Discover how to ask specific questions about your uploaded content and receive detailed, citation-backed responses. ➡️ Generating Study Guides and Summaries: Explore the capabilities of NotebookLM in creating concise summaries, FAQs, timelines, and more to enhance your understanding of complex topics. ➡️ Utilizing Audio Overviews: Experience the innovative feature that transforms your documents into engaging, podcast-style audio discussions, making information more accessible and easier to digest. 
This webinar is ideal for faculty members seeking to leverage AI technology to streamline their research workflows and enhance their academic productivity.
By the end of the session, you’ll be equipped with the knowledge to effectively integrate NotebookLM into your research practices, making information synthesis more efficient and insightful.
❗️NOTE: NotebookLM does not currently support raw data analysis.
Prerequisites
None