Engage, Enhance, and Empower through AI Pedagogy: Fostering Classroom Engagement and Innovative Library Services with Generative AI

Wednesday, November 13, 2025

2:00 - 3:10 p.m. Eastern | 1:00 - 2:10 p.m. Central | 12:00 - 1:10 p.m. Mountain | 11:00 a.m. - 12:10 p.m. Pacific

Generative AI has fundamentally changed how college students learn and conduct research, creating a new challenge for educators: distinguishing between AI-generated content and students’ original work. How can we adapt teaching and learning to this new technological landscape? This webinar will highlight the critical role of ethical standards in using generative AI for information literacy. Through real-life case studies, explore effective teaching strategies that leverage AI tools to help students differentiate between credible and non-credible information sources. Explore the dos and don'ts of AI in the classroom and discuss practical techniques for engaging students. Discover how to develop effective prompts, align AI tools with course objectives, and ensure students can distinguish between credible and non-credible information. Acquire practical techniques and pedagogical practices designed to engage students while also informing librarians and faculty members across various disciplines. 

Learning Outcomes

• Investigate the capabilities of generative AI platforms.

• Implement innovative pedagogical strategies to enhance reference and instructional sessions.

• Create efficient prompts to achieve optimal outcomes from generative AI platforms.

Target Audience

Academic librarians, researchers, and information professionals interested in incorporating AI into their teaching and learning the fundamentals of generative AI platforms

Presenter

Jonathan M. Torres, MLIS MA 
Associate Professor, Business and Data Librarian, Rutgers University-Newark

Jonathan is an Associate Professor, Business and Data Services Librarian specializing in teaching data and information literacy and statistical and data visualization software. He provides course-integrated and resource-specific instruction in business-based subject areas, develops and delivers data-related workshops, and offers consultative support such as finding data sets, assisting with data analysis software, and data management planning for universities, government, and external organizations. Mr. Torres received an M.S. in library and information science and an M.A. and B.A. in labor studies and employment relations from Rutgers University-New Brunswick. Mr. Torres is a LEADING Fellow for the LIS Education and Data Science Integrated Network Group (LEADING) program. Jonathan is an accomplished keynote speaker who has presented at both national and international conferences for his research on bibliometrics and pedagogical practices utilizing AI-generated models.

Registration 

Pricing is listed to the right on this page. To register, use the register button to checkout. You can register a group by specifying the number of people who will be accessing the webcast during checkout. If you are an ACRL member, you can purchase seats for yourself and your colleagues at the ACRL discount rate.

Number of Seats	Discount
3-5	15%
16+	If you are registering 16 or more individuals for a webinar or are interested in group registrations for other learning events, please get in touch with us at ce@ala.org.

Tech Requirements

ACRL Webinars are held in Zoom Meeting. Speakers or a headset for listening to the presentation are required. You may interact with the presenter and ask questions through text-based chat. Closed captioning is available.

Presentations will be recorded and the link to the recordings shared shortly after the live events.

Contact

If you have questions or need to make arrangements for additional assistance or accessibility, please contact Margot Conahan (mconahan@ala.org).