Research Guides: Artificial Intelligence: Tools for Faculty: AI in the Classroom

AI in Education

AI can be a powerful tool in education settings in several ways. AI can be used for:

Personalized Learning: to analyze student data and recommend personalized learning paths that cater to each student's individual strengths and weaknesses.
Virtual Tutoring: to provide real-time feedback and guidance to students, allowing them to learn at their own pace and on their own schedule.
Automated Grading: to automatically grade assignments and quizzes, freeing up teachers' time to focus on more important tasks.
Adaptive Learning: to adapt learning materials and assessments based on a student's progress, ensuring that they are challenged at the appropriate level.
Language Translation: to translate learning materials into different languages, making education more accessible to students from diverse backgrounds.
Accessibility: to make education more accessible for students with disabilities, such as those who are visually or hearing impaired.

Overall, AI has the potential to revolutionize education by providing personalized, adaptive, and accessible learning experiences to students.

Academic Integrity in the Age of AI
An overview of resources for educators in search of academic integrity solutions in instruction and assessment when faced with student usage of artificial intelligence tools. Sponsor: Turnitin.
AI & Academic Integrity
Information for faculty on communicating course expectations, crediting generative AI in an assignment, and detecting AI-generated content. Sponsor: The Center for Teaching Information at Cornell University
Communication with students about AI
From Monash University.

Assigning AI: Seven Approaches for Students with Prompts
The Seven Approaches are: AI-tutor, for increasing knowledge, AI-coach for increasing metacognition, AI-mentor to provide balanced, ongoing feedback, AI-teammate to increase collaborative intelligence, AI-tool for extending student performance, AI-simulator to help with practice, and AI-student to check for understanding.
Considerations for Using AI in the Classroom
From the Instructional Design Collaborative , University of Wisconsin-Madison.
Guide to Optimizing AI in Higher Education
From the SUNY Faculty Advisory Council on Teaching and Technology (FACT2).
Transforming Education with Generative AI and Social Annotation
This case study explores how social annotation is helping educators strike the right balance, leveraging AI without losing the human element of learning. One of the contributors is SUNY New Paltz's Rachel Rigolino who shares how her students learn how to evaluate and edit AI-generated material.
Using AI to Implement Effective Teaching Strategies in Classrooms: Five Strategies, Including Prompts
This paper by Ethan R. Mollick, University of Pennsylvania - Wharton School provides guidance for using AI to quickly and easily implement evidence-based teaching strategies that instructors can integrate into their teaching.

Syllabi Policies for AI Generative Tools
Examples of AI policies for a variety of courses. Created by Lance Eaton, Instructional Designer. See lanceeaton.com.
Ai Syllabus Examples
From Utah State University Faculty.
ChatGPT and Generative AI Tools: Sample Syllabus Policy Statements
From the Center for Teaching and Learning at The University of Texas at Austin.

Sponsored by the League of Innovation in the Community College and Packback