This guide offers resources and examples to help you understand AI tools like ChatGPT and Gemini, and provides practical ideas for using AI in lesson planning and assignment creation.
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This guide has been adapted from the “AI Literacy in the Age of ChatGPT” by Nicole Hennig from the University of Arizona licensed under CC BY-ND 4.0.
Feel free to copy this guide, in part or in its entirety, in your own LibGuide.
Licensed under a Creative Commons Attribution 4.0 International License.
Artificial intelligence (AI) is increasingly shaping education. Faculty need to understand what AI is, how students use it, and its implications for learning and assessment.
What is AI?
AI refers to computer systems that can perform tasks that typically require human intelligence, such as natural language processing, problem-solving, and content generation. Popular AI tools include ChatGPT, Gemini, Grammarly, QuillBot, and Midjourney.
How Students Use AI
Students may use AI for:
AI Strengths and Limitations
Strengths: AI can enhance learning, provide instant feedback, and assist with brainstorming.
Limitations: AI-generated content may lack accuracy, critical thinking, and originality. It can also encourage over-reliance and plagiarism.
meta(LAB) at Harvard - The AI Pedagogy Project is a resource for educators interested in how AI affects their students and curricula. It offers an interactive AI guide covering AI essentials, classroom AI policies, and a ChatGPT demonstration. It also compares ChatGPT and Claude, provides additional AI resources, and features assignments from educators worldwide to spark discussion on AI's risks, benefits, and impacts.
Integrating Generative AI in Teaching and Learning: Faculty approaches across Barnard
Faculty across disciplines provide a glimpse into their approaches.
Critical Thinking with AI: Two Approaches
"How can we use AI to foster rather than replace critical thinking? The answer may lie in providing worked examples demonstrating the steps taken in the critical thinking process, using AI not as an answer tool but as a process tool."
Ethan Mollick, Wharton School at Univ. of Pennsylvania.
Student use cases for AI, Mollick & Mollick, Sept. 2023.
Start with these articles from his newsletter:
Sign up for his newsletter: One Useful Thing. And read his paper: Mollick, Ethan R. and Mollick, Lilach, Using AI to Implement Effective Teaching Strategies in Classrooms: Five Strategies, Including Prompts (March 17, 2023).
Four Singularities for Research: The rise of AI is creating both crisis and opportunity - Ethan Mollick
How the rise of AI is affecting writing, publishing, and research.
AI & Accessibility - Center for Teaching Innovation, Cornell University
Using AI to Help Students Teach in Order to Learn - Inside Higher Ed
"By changing ChatGPT’s system prompt, we can create content misunderstandings that students can correct, write Joel Nishimura and Anna Cunningham."
New BYU computer science study shows four ways students are actually using ChatGPT - Brigham Young University News
A survey finds 4 categories of use.
Teaching and Generative AI: Pedagogical Possibilities and Productive Tensions - Beth Buyserie, Ph.D., & Travis N. Thurston, Ph.D.
Open access ebook on Pressbooks.
Instructors as Innovators: a Future-focused Approach to New AI Learning Opportunities, With Prompts - Ethan Mollick & Lilach Mollick
A paper that explores how instructors can leverage generative AI to create personalized learning experiences for students that transform teaching and learning.
AI Detection in Education is a Dead End - Leon Furze
How AI detection tools work and why they don't work.
Incorporating Generative AI in Teaching and Learning: Faculty Examples Across Disciplines - Columbia University Center for Teaching and Learning
Faculty across disciplines provide a glimpse into their approaches as they experiment with AI in their classrooms.
Handout: AI and the Future of Teaching and Learning - U.S. Dept of Education, Office of Educational Technology (PDF)
Two-page list of key insights and recommendations from the U.S. Dept. of Education.
Understanding AI Writing Tools and their Uses for Teaching and Learning at UC Berkeley. Berkeley Center for Teaching and Learning
Special issue: Critical AI a Field in Formation, American Literature (Duke) “This special issue provides an overview of the emerging interdisciplinary field of Critical AI, which seeks to demystify artificial intelligence; counter its mythologizing as a marvelous and impenetrable black box; and translate, interpret, and critique its operations, from data collection and model architecture to decision making. Artists and researchers are developing new methods, practices, and concepts for this critical project, which is both historicist and attentive to the institutional, technological, and epistemic transformations still underway.”
Thinking about ChatGPT as a pedagogy problem, rather than a plagiarism problem, is a way to approach our teaching generatively.
Scaffolding mitigates library anxiety, imposter syndrome, and accidental plagiarism.
Rather than assigning a big, summative paper or project at the end of the course, breaking it up into stages with student reflection reinforces original work and a growth mindset that can reduce the perceived need for students using a tool such as ChatGPT.
AI literacy is the ability to:
From a 2020 paper, by Long and Magerko, who synthesized a variety of interdisciplinary literature into a set of core competencies.
Liberally-educated students need to be more than consumers of AI - Ted Underwood, Professor of Information Sciences and English at the University of Illinois, Urbana-Champaign.
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