AI Resources

This website is intended to serve as a central hub to disseminate information and will be updated periodically. While not exhaustive, this curated list offers key resources to help you begin exploring the role of AI in higher education, providing foundational insights and practical guidance.

The AI Pedagogy Project

• Source: metaLAB (at) Harvard
• Description: Focused on the essentials and written to be accessible to newcomers, this interactive guide provides the background needed to feel more confident engaging in conversations about AI in the classroom. It features an AI starter guide, tutorials on large language models, and classroom assignments, providing practical tools and inspiration for incorporating AI into your curriculum.

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Student Guide to Artificial Intelligence

• Source: Elon University and AAC&U
• Description: This illustrated guide offers an essential AI "how-to" manual for students, helping them navigate the use of AI in their academic work. Faculty can use this resource to better understand student perspectives and develop responsive AI policies for their courses.

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Course Policies & Syllabi Statements

• Source: University of Michigan
• Description: Provides sample language to include in syllabi regarding AI use. This resource is particularly helpful for establishing clear guidelines on how AI tools can be used in courses.

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Writing and AI Working Paper

• Source: MLA-CCCC Joint Task Force
• Description: This working paper explains the broad risks and potential benefits of AI for language, literary, and writing scholarship, as well as its impact on students, scholars, instructors, administrators, and staff in higher education. It also suggests principles and recommendations for creating policies, guidelines, and practices that leverage the strengths of teachers and scholars.

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Teaching with AI

• Authors: José Antonio Bowen and C. Edward Watson
• Description: Explores the transformative effects of AI on education. This is an essential resource for faculty seeking an in-depth understanding of AI's impact on teaching and learning. Dr. Watson will visit the campus on November 20th to discuss this work.

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AI and Education Report

• Source: UNESCO
• Description: This primer provides a comprehensive overview of AI in higher education, structured to help stakeholders navigate topics like personalized learning, research innovations, administration, ethics, and challenges. It addresses key concepts, applications, and policy recommendations while exploring the implications of AI for teaching, research, and institutional management.

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Artificial Intelligence and the Future of Teaching and Learning

• Publisher: US Department of Education
• Description: This report highlights the growing interest in AI in education, provides key policy recommendations, and explores core principles such as centering people, advancing equity, ensuring safety, and promoting transparency. It addresses how AI impacts students, educators, administrators, and institutions while offering a roadmap for creating ethical and effective AI policies in education.

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