As Clarkson does not have an institutional AI policy, instructors are able to determine when and how students should use AI. This guide provides recommendations for outlining AI use in syllabi and how to integrate AI tools into instruction. If you are looking for resources for students, we have an AI Literacy page listed on the Guides page, which includes additional resources for students.
Please contact askalibrarian@clarkson.edu with any feedback or content suggestions.
Syllabus Recommendations
Clearly identifying levels of generative AI usage in the syllabus is the best way to maintain consistency across assignments for your students. As they may potentially have multiple different course policies to be aware of, make expectations very clear and prominently displayed for each assignment or course component. Defining AI usage levels and providing examples will help students adhere to expectations.
- Syllabi Policies for AI Generative Tools – Collaborative Google Doc with examples from instructors at various institutions
- Guidelines for Syllabus Statements About Generative AI – from the University of Arizona
- AI Prompts for Teaching – by Cynthia Alby, PhD
- Update Your Course Syllabus for ChatGPT – by Ryan Watkins for Medium
- Syllabus Resources – from The Sentient Syllabus Project
- The Sentient Syllabus Project includes additional resources in different categories but does not appear to be actively updated
Curriculum Suggestions
Depending on the discipline and specific assignments, these suggestions can help you integrate generative AI into your courses. However, they may not be as applicable for higher-level science or math courses.
- ChatGPT in Higher Education: Artificial Intelligence and its Pedagogical Value – by Rob Rose
- Redesigning Assignments and Assessments – from the UC Berkeley Center for Teaching & Learning
- Bloom’s Taxonomy Revisited – from Oregon State University’s AI Tools for Faculty Support
- AI Prompt Cookbook: Generative AI Recipes Designed to Enhance Teaching & Learning – by Chris Sharp and Leslie Mojeiko
- Integrating AI into Assignments to Support Student Learning – from the University of Virginia Teaching Hub
- Prompts that Support Learning – from Bowen & Watson (2024)’s Teaching with AI: A Practical Guide to a New Era of Human Learning
- TextGenEd: Teaching with Text Generation Technologies – from WAC Clearinghouse
Instructor-Oriented AI Literacy
If you are unfamiliar with generative AI technology, take some time to learn about the tools and how students are using them. We have a research guide oriented more towards students, AI Literacy, organized with the main guides for students. However, it can also provide foundational knowledge for anyone with limited experience.
- Understanding AI Literacy – from the Stanford Teaching Commons
- The AI Literacy Approach – from UNC Greensboro’s University Teaching and Learning Commons
- AI Literacy in Teaching and Learning: A Durable Framework for Higher Education Faculty ALTL – by Michelle Kassorla, Maya Georgieva, and Allison Papini, Educause
- S.E.C.U.R.E. GenAI Use Framework – by Mark A. Bassett and Charles Sturt University, provides guidance for marking informed decisions about using generative AI software within defined risk parameters
- Rubric for AI Tool Evaluation – from Open Library’s “The Curious Educator’s Guide to AI,” this tool helps to evaluate the suitability for AI tools
Comprehensive Guides
- Generative AI Resources for Faculty – from the University of Pittsburgh’s University Center for Teaching and Learning
- Especially the page Teaching with Generative AI
- AI Resources and Connections for Faculty and Staff – from the University of Florida’s Teaching with AI
- Guidance for Instructors – provides guidelines on how to integrate AI into courses
- Artificial Intelligence Now: ChatGPT + AI Literacy Toolbox – from Florida International University Libraries
- Artificial Intelligence and Generative AI for Media & Journalism: Faculty and AI – from University of North Carolina Libraries
- Artificial Intelligence in Teaching and Learning – from the University of Arizona’s Center for Assessment, Teaching & Technology
- AI Hub – from Pennsylvania State University
- Specifically the AI Risk Assessment and AI Guidelines pages
- GenAI in Teaching – from the UC Berkeley Center for Teaching & Learning; contents include:
- Communicating Course Policies and Talking with Students
- Redesigning Assignments and Assessments
- Reflecting on GenAI
- Understanding GenAI and Campus Expectations
- AI Literacy and Critical Thinking: Faculty – from Macalester College Library’s guide
- Artificial Intelligence Tools – from Oregon State University’s Faculty Support
- Generative AI Guidance for Instructors – from the University of Illinois System
- Teaching with AI – from the University of Illinois Urbana-Champaign’s Center for Innovation in Teaching & Learning
Articles
Scholarly articles on artificial intelligence in higher education are available through the library’s catalog. Other articles include:
- A Scoping Review of the Strategic Integration of Artificial Intelligence in Higher Education: Transforming University Excellence Themes and Strategic Planning in the Digital Era – by Abulibdeh et al., published in the European Journal of Education
- Critical Thinking in the Age of AI: A Systematic Review of AI’s Effects on Higher Education – by Melisa et al., published in Educational Process: International Journal
- Teachers’ early uptake of genAI in teaching and learning: important questions and answers – by Collie & Martin, published in Social Psychology of Education
- Exploring students’ AI literacy and its effects on their AI output quality, self-efficacy, and academic performance – by Becirovic, Polz, & Tinkel, published in Smart Learning Environments
- Workload perception in educational resource recommendation supported by artificial intelligence: a controlled experiment with teachers – by Machado et al., published in Smart Learning Environments
The following online articles discuss ways to integrate AI into your classrooms and the pros and cons.
- Embracing Artificial Intelligence in the Classroom – from the Harvard Graduate School of Education
- How Artificial Intelligence is Transforming Higher Education – from the American College of Education
- How is Artificial Intelligence Impacting Higher Education? – from the Rutgers-New Brunswick School of Communication and Information
- Bloom’s Taxonomy Revisited – from Oregon State University’s AI Tools for Faculty Support
- Teaching with AI: How college professors are redefining the classroom – from Ohio Today
- Teaching Tip: Navigating AI in the Classroom – from Inside Higher Ed
- Using AI in the Higher Education Classroom – from the University of North Texas’s Division of Digital Strategy and Innovation