Date of Live Event: December 5, 2024; 1:00pm-2:30pm, Central time
ChatGPT, Gemini, and other Generative AI models can revolutionize how college students learn and conduct research and how you can facilitate teaching, learning, and patron services. Learn how to effectively apply generative AI models in your teaching and efficiently assist 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:
- 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
- Develop effective prompts for information retrieval
- Appreciate the significance of continuing the discussion on AI ethics and on promoting diversity, equity, and inclusion.
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:
- 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 on diversity, equity, and inclusion
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 webinar
- Date: Thursday, December 5, 2024
- Technical information: The login will be sent in advance to access the live webinar, resources, evaluation, and certificate.
- Register, participate, and earn 1.5 MLA continuing education (CE) contact hours.
Course Includes
- 4 Lessons