Using NotebookLM to Enhance Student Learning
In-Person
Abstract
This interactive workshop demonstrates practical applications of Google NotebookLM, an AI-powered research and learning tool, in education. Participants will explore how NotebookLM can transform student engagement with course materials, particularly for term projects that require analyzing and presenting news articles or academic papers.
The session showcases specific use cases in economic courses including: creating AI-generated study aids (flashcards, quizzes, and study guides) from lecture slides and readings; helping students prepare for article and paper presentations through automatic summarization and key concept extraction; generating audio overviews that make complex economic concepts more accessible; and producing infographics and visual summaries of economic data and theories.
Attendees will receive hands-on guidance on implementing NotebookLM in their courses, designing student tutorials, and establishing best practices for ethical AI use. The workshop emphasizes intentional technology integration that enhances rather than replaces deep learning, aligning with the conference theme of thoughtful teaching in the age of AI.
Presenters
Sepideh Raei
Associate Professor
Dr. Sepideh Raei is an Associate Professor of Economics in the Jon M. Huntsman School of Business at Utah State University. Sepideh earned her PhD from Arizona State University in May 2018. She earned her Master in Economics in 2013 from Simon Fraser University and her undergraduate degree in Biomedical Engineering from Iran. Her research interests lie in the field of Macroeconomics and Public Finance. She teaches introduction to economic institutions, history, and policies and intermediate macroeconomics.
Pedram Jahangiry
Prof Practice Assoc Professor
Dr. Pedram Jahangiry, CFA, is a Professional Practice Associate Professor of Data Analytics and Information Systems in the Huntsman School of Business at Utah State University. Pedram earned his Ph.D. in Economics in 2017 at Arizona State University (ASU). Prior to joining the Huntsman School in 2018, Pedram was a research associate within the Financial Modeling Group at BlackRock NYC. His current research is involved in machine learning, deep learning, and time series forecasting.
Pedram is the 2024 recipient of the USU Eldon J Gardner Teacher of the year award. He is one of the project mentors at the Analytics Solutions Center (ASC) where they provide significant experiential learning opportunities for students from across USU’s Logan and Statewide campuses by working with corporate partners on analytics projects.