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.
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.
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.
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.)
Spring 2025:
March 26, 2025: Leveraging Microsoft Copilot
April 17, 2025: AI Assignments for Students: Examples from a Community of Practice
April 23, 2025: Introduction to COIL (Collaborative Online International Learning)
- 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
- Introduction to AI for Higher Education
- Using AI Effectively in Teaching and Learning