AI 101: A Starter Guide

Explore the following curated resources on artificial intelligence. Instructors will find tools and strategies for integrating AI into teaching, while students can explore resources to engage with AI responsibly and enhance their learning. 

For Instructors

• AI Pedagogy Project: Harvard meta(LAB)'s primer explains generative AI foundational concepts, offers ways of integrating AI into your teaching practice, provides a way to practice with OpenAI ChatGPT-4o, and lists other helpful resources. 
• 2024 AI Landscape Study: This EDUCAUSE study "summarize[s] the higher education community's current sentiments and experiences related to strategic planning and readiness, policies and procedures, workforce, and the future of AI in higher education."
• CRAFT AI Resources: A collaboration between the Stanford Graduate School of Education and Institute for Human-Centered AI, CRAFT (Classroom Ready AI for Teaching) collects AI literacy resources. While described as resources for teaching in high school, the lessons could support university-level pedagogy for the AI beginner. 

For Students

• AI-U 1.0 Student Guide to Navigating College in the Artificial Intelligence Era: Written by the American Association of Colleges and Universities and Elon University, this guide introduces AI principles, concepts, and best practices to students in college.  
• Elements of AI - Introduction to AI Course: Created by MinnaLearn and the University of Helsinki, the Elements of AI Course offers lessons on "what AI is, what can (and can’t) be done with AI, and how to start creating AI methods." Introduction to AI is the first of their modules.

Are there other AI-related resources that you'd love to share to the campus community? Email Teaching and Learning Librarian for Online Education Kevin Sebastian (kevin.sebastian@unlv.edu)!

UNLV faculty, staff, and students should consider utilizing tools and services that exhibit the National Institute of Standards and Technology’s (NIST’s) characteristics of trustworthy AI. Explore the following to identify tools that may be applicable to your research and work:

• Future Tools' List
• Generative AI Product Tracker (regularly updated by Ithaka S+R's)
  • From the institution: "The Generative AI Product Tracker lists generative AI products that are either marketed specifically towards postsecondary faculty or students or appear to be actively in use by postsecondary faculty or students for teaching, learning, or research activities. The Tracker is a living document, which we update regularly as new products enter the market or new information about existing products becomes available. For more information, see our issue brief, Generative AI in Higher Ed: The Product Landscape. Thanks to Gary Price of Library Journal’s infoDOCKET for invaluable help keeping track of new product releases."

Note: This above lists were not created by UNLV Libraries and inclusion of any tool on these lists is not an endorsement of the suitability of a particular generative AI system for use in research at UNLV.