Faculty Support for AI in Teaching & Learning
Below are recent engagement opportunities and activities our team has provided to support faculty in considering the implications of AI in teaching and learning.
The AI for Learning Network (AI4LN) brings together faculty and staff from across the SUNY system and partner institutions to explore the opportunities and challenges of integrating Generative AI in teaching and learning.
Learn more about AI4LN.
Artificial Intelligence for Higher Education
The purpose of the Artificial Intelligence in Higher Education courses is to address the emergence and role of artificial intelligence (AI) in higher education, and to help staff and faculty learn about how AI impacts teaching, learning, enrollment, retention, and student success.
AI Prompting for Educators
September 17, 2025
11:00AM-12:00PM EST
Presenter: Trevor Johnson-Steigelman, Associate Professor of Physics, Finger Lakes Community College
Description: AI Prompting for Educators is a presentation designed to share ways you can interact with AI to get better results. As an educator, you can use AI to help you create and improve handouts, activities, and assessments to enhance your classroom. We’ll investigate prompt structures that help you get the results you want.
AI and Academic Integrity in Online Teaching: Taking an Information Literacy Approach
September 25, 2025
12:00-1:00PM EST
Presenter: Allison Hosier, Head of Information Literacy, University at Albany
Description: Generative AI has posed huge challenges to academic integrity as students have started to submit work that is partially or fully generated by AI. These challenges are especially difficult to navigate in the online environment. This presentation will explore the relationship between generative AI and academic integrity from an information literacy perspective. It will include practical suggestions for application in online teaching.
Advanced Generative AI for Teaching & Learning: This Circle is for those who are familiar with and comfortable with using Generative AI for their teaching and personal use. Faculty will use a variety of tools to enhance teaching with text, visuals, videos, and other media while honing their prompt inputs. Sharing prompts and experiences using these tools happens through reflective practice and Circle discussions. Participants will learn how to create a chatbot that can answer students’ questions about their syllabus as well as course-specific information, produce engaging videos, relevant graphics, and more.
Additional Circles:
- Evidence-based Teaching with Generative AI: Learn how AI tools can help you personalize learning, enhance engagement, and provide students with valuable feedback, all while learning about and following evidence-based teaching practices.
- Active Learning: Explore evidence-based teaching practices to engage students more actively in the learning process, whether teaching face-to-face, online, or hybrid classes. Learning by doing and experience-sharing will also enrich your understanding of how to make learning more interactive to support students’ success.
- Belonging & Inclusive Teaching Fundamentals: Explore evidence-based practices that support student success by shaping the learning environment to recognize and build on all students’ diverse experiences and strengths. Develop your ability to engage students and help them to feel seen, respected, and included as capable partners in the learning process.
- Course Design for Student Success: Learn how to effectively design or redesign a course with proven methods and techniques that support student belonging, learning, and success. Build skills and knowledge around how evidence-based teaching practices help us to create an accessible learning environment for all students, how backward design aligns learning objectives and assessments, and how universal design principles build on student strengths, backgrounds, and ways of learning.
- Evidence-based Teaching: Learn how to build a body of evidence in your classroom about how well your teaching and learning activities support student success. Explore backward design, learning outcome alignment, differentiated instruction, assessment design, and other evidence-based practices contributing to effective learning and teaching.
- Online Teaching Foundation: Designed for faculty newer to teaching online, this circle focuses expressly on the online modality and provides opportunities to explore and apply best evidence-based practices for teaching online, engaging students, and supporting their success. (Note: You should be scheduled to teach a fully online class during this fellowship.)
- Teaching with OER & OER-enabled Pedagogy: Explore evidence-based teaching strategies in the context of using OER and OER-enabled pedagogy. Develop your teaching capabilities with techniques that apply the principles of open education to engage students and strengthen their success using openly licensed content. (Note: Prior to the fellowship, you should identify OER content you plan to use with students during your fellowship term.)
These documents present information and solutions to educators across the spectrum of enthusiasm and adoption interests, empowering everyone to make educated decisions for themselves and their students regarding generative AI.
- Getting Started with Artificial Intelligence
- Potential and Pitfalls of AI Use in the Classroom
- Developing Syllabus Statements on AI Use
- AI as an Assistant
- AI Tools to Help You Build Your Course
- AI Basics
- Course Policies, Syllabi
- AI in Image Creation
- Social Impacts of AI
- Using AI for Productivity
- AI and Data Analytics
- AI and Writing