The Massachusetts Library System is pleased to announce that we have contracted with ALA to provide our members with access to their live webinars.  These webinars are free to MLS members who register through our calendar.  Please do not register directly with ALA. Members who register directly with ALA are responsible for paying their registration fee. 

Please help us keep MLS sponsored training free for all members. If you are unable to attend the live webinar, please cancel your registration. A cancellation link can be found in your confirmation email, or you may contact Sarah Donnelly at sdonnelly@masslibsystem.org to cancel. 

Description

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.

Who Should Attend

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.

Accessibility Information

If you have questions or requests regarding accessibility, contact ce@ala.org or at 312-280-5100.