This follow-up to the first webinar, “The Emergence of AI Pedagogy: Exploring Resources and Enhancing Engagement for Medical Librarians and Information Professionals” will discuss how ChatGPT, Gemini, and other generative AI models can revolutionize how college students and medical researchers learn and conduct research. We will also explore how you, as educators and information professionals, can facilitate teaching, learning, and patron services. Discover effective strategies for applying generative AI models in your teaching and efficiently assisting patrons with their research needs.
Jonathan Torres, author of 30 AI Tools for Educators, Librarians, and Researchers: Leveraging, AI Tools for Efficiency, will be your guide to gaining an understanding of AI models and how you can apply them in your instruction and incorporate them into your everyday work activities.
Through case studies and examples, you’ll learn how to:
- Develop effective prompting techniques that enable users to achieve the best results from generative AI platforms
- Distinguish between credible and non-credible information sources
- Distinguish between AI-generated assistance and students’ original work
- Understand the critical role of ethical standards in information curation
- Identify AI resources that align with course objectives and curricular maps
- Identify credible generative AI models that are appropriate for research and classroom activities
- Identify AI biases, including data bias, algorithmic bias, and interaction bias
- Use AI to enhance pedagogical practices and reference practices, engage students, and enlighten faculty members
- Recognize the vital importance of AI ethics
You’ll leave the webinar with new knowledge and new skills that enable you to be a more powerful instructor and more effective guide to researchers and students.
Audience
Medical librarians and other information professionals are interested in incorporating AI into their pedagogy and in learning fundamental applications of generative AI models.
Learning Outcomes
By the end of this course, you will be able to:
- Mastering effective prompting techniques is essential for users who want to unlock the full potential of generative AI platforms and achieve outstanding results.
- Implement pedagogical strategies that enhance reference and instructional sessions
- Create efficient prompts to retrieve optimal outcomes from generative AI models
- Identify AI bias and its impact
Instructor

Jonathan M. Torres, MLIS, MA is the Business and Data Librarian at Rutgers University-Newark. Jonathan specializes in teaching data and information literacy and statistical and data visualization software. He is an accomplished keynote speaker, a fellow of the LIS Education and Data Science Integrated Network Group (LEADING) program, and the author of the article, Leveraging ChatGPT and Bard for academic librarians and information professionals: a case study of developing pedagogical strategies using generative AI models.
Registration Information
- Length: 1.5 hour recorded webinar
- Enroll/Register and the offering will be listed in your My Learning
- Earn 1.5 MLA continuing education (CE) contact hours.