AI Events and Support
Fall Events
Lead by Michael Starenko, Senior Teaching and Learning Consultant, CTL, Academic Affairs
This webinar will guide you through a step-by-step process for developing a well-considered AI policy statement for your course syllabus.
Lead by Cana Fuest, Instructional Designer, CTL, Academic Affairs
Learn to use CoPilot to draft syllabi, learning objectives, assignment instructions, and rubrics as you prepare to teach this semester.
Lead by Jenna Sadue, Assistant Director, Learning Design and Technology, CTL, Academic Affairs
Join us for an introduction to Google Notebook LM which is available for use by all RIT faculty, staff and students. We will review the technical features of this AI tool as well as share examples of how faculty may use Notebook LM to support instruction.
Lead by Michael Starenko, Senior Teaching and Learning Consultant, CTL, Academic Affairs
Join us for a series of three sessions on Critical Thinking with AI. In the first session, we will focus on Designing Transparent Assignments. Transparent assignment design (TILT) focuses on how and why students are learning course content, concepts and skills in a particular way. Participants will explore TILT strategies that explicitly guide student engagement with AI.
The next two sessions are:
- Spotting Fallacies on September 26, 2025 - Faculty will leave with ready-to-use strategies for teaching critical reasoning across disciplines. These techniques make abstract concepts like fallacies more concrete and give students low-stakes opportunities to engage deeply with logical thinking.
- Problem Solving on October 3, 2025 - Faculty will leave with ready-to-use strategies for teaching critical reasoning across disciplines. These techniques make abstract concepts like fallacies more concrete and give students low-stakes opportunities to engage deeply with logical thinking.
Lead by Michael Starenko, Senior Teaching and Learning Consultant, CTL, Academic Affairs
A series of three sessions on Critical Thinking with AI, session #2 will focus on Spotting Fallacies. Faculty will leave with ready-to-use strategies for teaching critical reasoning across disciplines. These techniques make abstract concepts like fallacies more concrete and give students low-stakes opportunities to engage deeply with logical thinking.
Join us again at the third session on Friday, 10/3 from 12-12:30 pm:
- Problem Solving - Faculty will leave with ready-to-use strategies for teaching critical reasoning across disciplines. These techniques make abstract concepts like fallacies more concrete and give students low-stakes opportunities to engage deeply with logical thinking.
Lead by Jenna Sadue, Assistant Director, Learning Design and Technology, CTL, Academic Affairs
Join us for the kickoff of AI Essentials for Educators, a 6-week online course for faculty focused on practical strategies for integrating AI into teaching.
Lead by Michael Starenko, Senior Teaching and Learning Consultant, CTL, Academic Affairs
A series of three sessions on Critical Thinking with AI. In this third session, we will focus on Problem Solving. Faculty will leave with ready-to-use strategies for teaching critical reasoning across disciplines. These techniques make abstract concepts like fallacies more concrete and give students low-stakes opportunities to engage deeply with logical thinking.
Past Events
Lead by Shaun Foster, CTL Strategic Priority Fellow for Generative AI, Academic Affairs; School of Design, CAD
Generative AI is changing fast! This synchronous online teaching circle will explore how generative AI tools can streamline administrative tasks, personalize learning experiences, and enhance instructional quality and learner engagement. In our explorations we will:
- Investigate adaptive learning technologies that tailor educational content to individual student needs and learning styles
- Utilize generative AI to create interactive and immersive learning experiences that keep students engaged
- Leverage generative AI tools to aid in the creation of educational materials, such as lecture notes, presentations, and multimedia content
- Streamline administrative tasks such as scheduling, student tracking, and communication using generative AI
- Use generative AI to analyze student performance data and provide insights to enhance teaching methods and course design
- Incorporate generative AI into curriculum design to ensure that courses are up to date with current technological advancements and industry needs
Each meeting will involve a mixture of group activities, including:
- A run-down of recently released generative AI tools, articles, and other contemporary developments
- Virtual “hands-on workshops” for participants to explore generative AI tools and share their experiences
- Discussions of a specific subtopic, starting with a short introduction to seed the conversation
- Opportunities for participants to provide examples from their own teaching practices and share resources
Our circle will meet via Zoom (approximately) every other Friday, 11:00am-12:00pm over the Spring semester starting January 24, 2025. (The other dates are February 7 and 21, March 7 and 21, and April 4 and 18.) If you are interested in joining this circle, fill out this AI Teaching Circle Google form.
Lead by Greg Babbitt, School of Life Sciences, COS; and Ernest Fokoue, School of Mathematics and Statistics, COS
The invention of AI software tools is continuing to change the landscape of what students want and need from the classroom experience. Chatbots can easily replace a traditional human instructor, and in many ways, can offer a more tailored, more direct, more convenient, more affordable, and more personal learning experience. They can also be employed by everyone on the planet to achieve a high level of language proficiency (be it English or computer programming). So, what do students actually need from the traditional classroom? We will meet and discuss ways we are refocusing our classrooms to better build skill sets that students might still need in a world of AI-driven applications.
We work extensively in both the theory and practice of many machine-learning algorithms that exist beyond the Large Language Models that inform generative AI, and have a lot of interest in philosophy, religion, epistemology, and the behavioral sciences as well. Due in part to these diverse perspectives, our approach to facilitating this circle is organic: rather than planning everything in advance, we are prepared to facilitate discussions and activities depending on the initial interests of the assembled group and as those interests evolve over the semester.
We will poll participants on their availability and preferred meeting frequency and mode (on campus and/or via Zoom). If you are interested in joining this circle, email Greg Babbitt by January 21, 2025.
Leading RIT faculty will offer short practical demonstrations on how AI tools have been used to enhance their teaching practices. This showcase is a great opportunity for RIT faculty to sharpen their skills or learn something new through hands-on demos and live Q&A.
Presenters are listed below, along with an introduction video on their demonstration topic.
AI Tools: Low Hanging Fruit Shaun Foster, CAD
Text-based AI tools for Research and Writing Processes Phil Shaw, SOIS
ChatGPT in Higher Ed: Boosting Teaching Efficiency Garret Arcoraci, GCCIS
A Formula For Ethical AI Concepting Application Ihab Mardini, CAD
Fast formative feedback for your students using Gen AI Clark Hochgraf, CET
Support
Speak with a CTL Faculty Fellow
Meet with a Faculty Fellow in your College and/or academic domain to discuss generative AI in your teaching. Contact your representative Faculty Fellow.
Got Questions?
Meet with a CTL professional staff member to discuss generative AI in your teaching. Request a consultation.
Last updated 12/24/2024