Discover how NYU faculty, students, staff, and administrators are using Google’s NotebookLM! Educators from other universities are also welcome to attend.
Thursday, October 16, 2025
8–11:30am NYC | 4–7:30pm Abu Dhabi | 8–11:30pm Shanghai
Video recordings from our 5th Teaching and Learning with Generative AI Virtual Symposium:
NotebookLM Use Cases
Hosted by NYU’s Office of the Provost
Schedule at a Glance
8 – 8:10am NYC | 4 – 4:10pm Abu Dhabi | 8 – 8:10pm Shanghai
Welcome
De Angela L. Duff – Associate Vice Provost, NYU Office of the Provost, and Industry Professor, NYU Tandon
8:10 – 8:50am NYC | 4:10 – 4:50pm Abu Dhabi | 8:10 – 8:50pm Shanghai
Track 1: Teaching with NotebookLM
Craig Kapp NYU Courant Institute of Mathematical Sciences (CIMS)
Clinical Professor
Analyzing Student Feedback Data Using NotebookLM
Documentation (NYU access only)
In this lightning talk I’ll share how I use student‑feedback data from my “Introduction to Computer Programming” large‑lecture course to craft in‑class formative assessment activities using Brightspace, NotebookLM, and Poll Everywhere.
These activities help to “close the loop” by letting me respond promptly to student questions, even in classes of 100 + students. They also help to cultivate an inquisitive classroom environment, where asking questions is both encouraged and valued.
Panayotis (Panos) Mavromatis
NYU Steinhardt
Associate Professor of Music and Music Education and Music and Performing Arts Professions
Using NotebookLM in a Grad Music Theory Seminar
In Spring 2025, I used NotebookLM in my grad seminar in music theory. Long weekly readings are typically involved. While I encouraged the students to also read the full texts, I created weekly notebooks to streamline the student’s navigation through the readings. In addition to the out-of-the-box content (briefing, study guide, timeline, FAQs, audio summary), I invited each student to ask at least one specific question in the notebook chat that would help them focus their reading on a topic of interest to them.
Amani Magid NYU Abu Dhabi
Academic Librarian for Engineering; AI Initiatives and Reference Services Coordinator
NYUAD Engineering Librarian Case Study: Supporting Engineering Capstone Projects
Supporting Links
- NYUAD Library AI Literacy Framework
- https://www.ala.org/acrl/standards/ilframework
- http://tiny.cc/EngStdNYUAD
This lightning talk will explain the thought process of how the NYUAD Engineering Librarian started with the thought of only sending a screen recording to creating a NotebookLM for the students. The presentation outlines a case study in adapting to a shortened class time by using NotebookLM to provide students with essential information for their final capstone project.
Evgeniya Efremova
NYU Shanghai
Director of the Center for Teaching and Learning and Clinical Assistant Professor of Teaching and Learning
From GenAI Priming To Self-Discovery: Rethinking Reading With NotebookLM
According to our recent study in spring 2025, one of the most significant and concerning shifts in students’ reading behaviors with genAI is the move from interpretive exploration to confirmation-based reading… [session focuses on counteracting this trend with designed prompts].
Track 1 Q&A
Moderated by Marion Wrenn – Executive Director of Writing and Senior Lecturer of Writing and Literature and Creative Writing, NYU Abu Dhabi
8:50 – 9:30am New York • 4:50 – 5:30pm Abu Dhabi • 8:50 – 9:30pm Shanghai
Track 2: NotebookLM for Academic Operations
Chenyu Yi NYU Abu Dhabi
Research Associate and Special Advisor on AI and Technology, Office of the Vice Provost
An Academic Policies and Governance Chatbot with NotebookLM
Chatbots offer an interactive way to engage with static, dense information. But building a full-capacity chatbot often requires time and expertise that may not be readily available. In this talk, we explore NotebookLM as an accessible, low-barrier tool for creating interactive chatbots. Leveraging the “Share as Full Notebook or Chat Only” feature, we experimented with a replicable use case of using NotebookLM to build a chatbot that helps teams and the community query, organize, and navigate dense policy documents. As an initial example, this talk will focus on an Academic Policies and Governance Chatbot.
Alicia Kubes NYU SPS
Associate Director of Programs, Center for Publishing, Writing, and Media Continuing Education Programs
Administrative Handbooks & Faculty Resources with NotebookLM
This presentation features two notebooks that are being actively used for academic and administrative support by staff and faculty members at the Center for Publishing, Writing, and Media’s Continuing Education Programs:
1-The “PWM-CE Handbook for Administrators” assists staff members in making course cancellation decisions, managing courses, advising current and prospective students on course offerings, and training student workers.
2- The “Faculty Resources” notebook assists our faculty in finding support materials for teaching (including NYU Brightspace, the Reaching All Learners Institute, etc) and connecting them to resources across the university, from auditing classes at SPS to faculty benefits and discounts for the NYU community.
Negar Farakish NYU SPS
Assistant Dean, Division of Programs in Business, and Clinical Associate Professor
Paul Goncalves NYU SPS
Administrative Director of Management & Technology Programs
NotebookLM to Enhance the Applicant Screening Process
This presentation demonstrates how NotebookLM (NBLM) can potentially enhance the applicant screening process by providing a data-driven audit of human search committee decisions. We’ll show how NBLM was used to analyze a diverse pool of candidate resumes, helping to confirm initial committee selections and highlight areas where unconscious bias might have influenced human judgment.
Negar Farakish NYU SPS
Assistant Dean, Division of Programs in Business, and Clinical Associate Professor
Paul Goncalves NYU SPS
Administrative Director of Management & Technology Programs
NotebookLM to Support Academic Program Revisions
This presentation outlines a strategy for using NotebookLM to support academic program revisions. Specifically, it focuses on the critical task of identifying course equivalencies between the original and revised curricula for student advising purposes. The approach leverages AI to move beyond simple title or keyword matching, providing a more robust, data-driven analysis of course content and learning outcomes to facilitate student transition during the program teachout phase.
Track 2 Q&A
Moderated by Clay Shirky – Vice Provost for AI and Technology in Education
9:30 – 10:10am New York • 5:30 – 6:10pm Abu Dhabi • 9:30 – 10:10pm Shanghai
Track 3: Teaching with NotebookLM Pt. 2
Adam Poltrack NYU Meyers
Instructional Designer
Using NotebookLM to Identify Course-Specific Pedagogical Strategies
I would like to present a powerful use case that can generate dynamic learning analytics and help instructors refine their teaching practice. Here are the steps:
- Choose a written assignment you’ve given across multiple sections of a course. For best results, the assignment should be largely unchanged across those sections.
- Upload syllabi, assignment description, all student submissions, and all instructor feedback to a single notebook.
- Ask Notebook to identify common mistakes in student writing and common points of instructor feedback.
Ask Notebook to identify course-specific pedagogical strategies to mitigate these issues in future semesters
Juanita Woods NYU SPS
Clinical Associate Professor, Management and Technology
Teaching: Developing Lecture Materials & Shared Class NotebookLM
I use NotebookLM to develop lecture materials and class activities using course resources (textbooks, online sources, teaching notes), develop course resources, such as video summaries, grading rubrics, and FAQs based on the textbook and online sources, and create a shared class NotebookLM that students can use to study the course resources.
Autumn Rain
NYU Arts & Science
Adjunct Instructor of Social and Cultural Analysis
Exploring History with NotebookLM
I ask students in my course, “(Un) Burying the Past: Lost Geographies of the Lower East Side” to engage with NotebookLM as a tool for organizing and also assessing information sources, while paying attention to the uses and limitations of the tool… [full LES history assignment and reflections exercise].
Ronah Harris NYU SPS
Adjunct Instructor of the Division of Applied Undergraduate Studies
Teaching Students To Use NotebookLM
NotebookLM serves as both a personal research assistant and a collaborative planning tool across my teaching, learning, and academic support roles. I work in media and teach interactive so this tool has become something that I teach my students across undergrad and graduate classes. It is very powerful to limit data, as well as the audio podcast feature for review of lecture materials.
Track 3 Q&A
Moderated by Carla Jackie Sampson – Clinical Professor and Director of the Health Policy and Management Program and online Master of Health Administration Program, NYU Wagner
10:10 – 10:40am New York • 6:10 – 6:40pm Abu Dhabi • 10:10 – 10:40pm Shanghai
Track 4: NotebookLM as a Research Partner
Clay Shirky
NYU Office of the Provost
Vice Provost for AI and Technology in Education
Rescuing Data from the Sarcophagus of PDF with NotebookLM
PDF is where data goes to die. Though it can contain text, tables, charts, graphs, and other forms of data, that content is rendered as pictures. Data in the PDF format is difficult to extract or work with. NotebookLM provides a variety of ways to make PDFs behave as data stores, allowing people to extract, combine, and represent data in ways other than that included in the base documents.
Thom Blaylock NYU Wagner
Clinical Professor of Public Service
NotebookLM as a Research Tool for Intro to Public Policy
We are using NotebookLM in Wagner’s core course, Introduction to Public Policy, as a research tool. We start by doing a deep research dive in Gemini and finding 15 solid research sources as a start for their semester long policy project. We then add in publicly available data and have the students build a policy timeline and literature review to get them started in their research project. Over the course of the term, they add more research materials and check their written policy drafts against the source material for content accuracy. So far it’s working really well.
Evgeniya Kondrashina
NYU Steinhardt
Adjunct Faculty, Music and Performing Arts Professions
Using NotebookLM to Understand and Compare Sources in Different Languages
I will present a research exercise using NotebookLM in the NYU Master’s course on International Cultural Relations. The goal is a hands-on comparison of four national cultural policies. Students upload four official policy documents: three I provide (in Russian, Chinese, and English) and one they choose in a fourth language. With my help, the class decides on the key questions and criteria for analysis. We then construct a prompt for NotebookLM to create a clear comparison table in English. The central goal is to show students that AI is a powerful tool for understanding and comparing original documents in different languages, making international research much more efficient.
Track 4 Q&A
Moderated by Yuliya Yoncheva – Research Assistant Professor, Department of Medicine, NYU Grossman School of Medicine
10:40 – 11:10am New York • 6:40 – 7:10pm Abu Dhabi • 10:40 – 11:10pm Shanghai
Track 5: Studying with NotebookLM Student Use Cases
Hanwen Zhang
NYU Arts and Science
BA, Computer Science and Data Science, ’26
Personalized Study Guides & Podcasts with NotebookLM
Learning use case: study guides and podcast feature. When I study for midterms and final exams, I upload my typed class notes to NotebookLM. Then, I use a list of exam topics and a description of personal strengths and weaknesses in my knowledge to prompt NotebookLM to create a personalized study guide. I also use the podcast generation feature to create a study podcast that goes over the topics and big ideas. This way, I can refresh myself on the material while occupied with other tasks like working out, cooking, or commuting.
George Wang NYU Steinhardt
MA, Learning Technology Experience and Design (LTXD), ‘26
NotebookLM for Literature Review
I would like to share how I use Google NotebookLM to keep my literature review process organized. I upload all the papers I’m reading into one place, then use the mind map function to connect ideas and see how different studies relate to each other. This helps me quickly spot themes and gaps. I also rely on the report function to turn those insights into a draft literature review proposal that I can refine further.
Track 5 Q&A
Moderated by Amani Magid – Academic Librarian for Engineering; AI Initiatives and Reference Services Coordinator, NYUAD Library
11:10 – 11:20am New York • 7:10 – 7:20pm Abu Dhabi • 11:10 – 11:20pm Shanghai
Closing Reflections
De Angela L. Duff – Associate Vice Provost, NYU Office of the Provost, and Industry Professor, NYU Tandon
Why This Symposium Matters?
Higher education often operates in silos by school, department, and, most often, program. Too rarely do we share ideas across disciplines or roles. The Teaching and Learning with Generative AI Virtual Symposia, sponsored by NYU’s Office of the Provost, is an opportunity to break down these silos, directly advancing NYU’s strategic pathway of interdisciplinary impact by leveraging our unique capacity for the cross-pollination of ideas.
When we bring together faculty, staff, and students from across NYU’s diverse academic landscape, we discover how different disciplinary perspectives expand what’s possible with GenAI tools. We build bridges between programs and create a community of practice that extends far beyond individual use cases. This cross-pollination of ideas supports NYU’s commitment to an organizational culture that empowers all to reach their highest potential in teaching, learning, and innovation.
Google’s NotebookLM offers unique opportunities for thoughtful engagement with information across disciplines. A psychology professor’s approach to research analysis might inspire a business instructor’s case study methods. A graduate student’s historical document workflow could spark new ideas for an engineering student’s technical documentation.
Whether you’re already experimenting with NotebookLM or just curious about its potential, your perspective contributes to a larger conversation about the future of teaching and learning at NYU. Innovation happens at the intersections.
Why NotebookLM?
Google’s NotebookLM represents something particularly interesting in the GenAI landscape. NotebookLM is a tool designed specifically for deep, thoughtful engagement with information rather than quick content generation. It’s not about replacing human analysis but augmenting our capacity to synthesize, connect, and understand complex materials. This makes it uniquely valuable across disciplines and equally relevant whether you’re working with historical documents, scientific papers, business cases, or policy briefs.
But here’s what makes this symposium essential:
NotebookLM’s potential is only beginning to be explored in educational contexts. Early adopters across NYU’s schools and departments are discovering powerful applications, developing innovative workflows, and uncovering unexpected possibilities.
Any questions? Please contact De Angela L. Duff at deangela.duff@nyu.edu.