As education moves toward integrating generative AI into assessments and learning, a critical question emerges: how do we ensure students are actually learning? This session explores how to design AI-integrated assessments that promote purposeful struggle and lead to purposeful products; work that students see as meaningful, relevant, and worth doing. Experience an example assignment and discover strategies that use reflection, feedback, and revision to make learning visible. Leave with practical ideas for fostering ethical AI use and designing assessments that balance product, process, and purpose. #purposeful-learning #productive-struggle #authentic-GenAI-assessment
Teaching and Learning Specialist and Adjunct Instructor, Saint Leo University
I'm a Teaching & Learning Specialist at Saint Leo University's Center for Teaching and Learning Excellence, and most of my work lives at the intersection of experimenting with what AI can actually do and helping students and faculty tap into their own creativity along the way.
Evidence-Based Strategies for Ethical AI Instruction in Higher Education If AI is reshaping every industry, why are so few students being taught how to use it ethically and effectively? This session presents research-informed strategies for teaching AI literacy while upholding academic integrity. Drawing from AI Unlocked, a stand-alone, first-year AI literacy course taught for multiple semesters at Saint Leo University, Amy Harris and Candyce Nelson will interactively share instructional models, student outcomes, and ethical frameworks. Collaborative activities include adapting rubrics and assignments across disciplines and exploring how to embed AI instruction into existing courses. Attendees will leave with practical resources and guidance for building or enhancing AI pedagogy without compromising rigor or ethics.#Freshman-AI-Literacy #Ethical Pedagogy #Academic Integrity
Teaching and Learning Specialist and Adjunct Instructor, Saint Leo University
I'm a Teaching & Learning Specialist at Saint Leo University's Center for Teaching and Learning Excellence, and most of my work lives at the intersection of experimenting with what AI can actually do and helping students and faculty tap into their own creativity along the way.
For those considering or already engaged in curriculum revision: Your students are already using AI. The question is, do you know how? Do you know how K12 students, your future students are using AI? In this session, we’ll pull back the curtain on the tools students are actually using today, including how these “study tools” are reshaping how work gets done. We’ll explore how these tools are changing student behavior, expectations, and skill development, and what that means for your classroom. We will also take a sneak peek at Turnitin's next-generation assignment types, designed to meet the needs of this era, where process has become much more important than product. If you are thinking about updating assignments or curriculum, this session will help you understand why now is the time. Walk away with practical insights to better support students in an AI driven world.
Kathryn is a member of the Solutions Engineering and Bid Management Team within Revenue Operations. Previously, Vlad was a Solutions Engineer with ExamSoft, supporting the global sales team with in-depth product discussions, responding to RFPs and security questionnaires. Kathryn... Read More →
Generative AI is already reshaping how students learn to code, but “ban it” and “let it rip” both create problems. This session shares early evidence and practical course-design strategies from introductory programming contexts that vary in AI allowance and instructor guidance. We discuss how more open AI use can lift short-term assignment performance while increasing risks of overreliance, reduced conceptual understanding, weaker problem-solving retention, and academic integrity violations. In contrast, when instructors frame AI as a supportive but limited tool and embed process checks, students show more constructive attitudes and deeper learning signals. Attendees will leave with policy language, assignment structures, and guidance prompts ready to adapt. #GenAI #TeachingWithAI #AcademicIntegrity
Andrew L. Wright is Assistant Professor and Chair of the Information Systems, Analytics, & Operations department in the College of Business at the University of Louisville. He joined the faculty in 1994 and has previously served as the university's Director of Academic Technology... Read More →
When institutions ground AI policy development and governance decision in their mission and values, the results are energizing and transformative. This session equips you to guide your institution through a values-based approach to AI integration and governance. Through guided questions and a structured framework, you can engage faculty, staff, and leadership in a collaborative governance process that results in authentic, contextually appropriate AI integration. Examples will be shared showing how this approach helps develop policies that faculty and students embrace because they reflect the community’s core values. #AI-policy #shared-governance
This is an open session for presenters to ask any questions about the Teaching and Learning with AI conference repository. Presenters were previously notified about this new repository, and this session is an opportunity to learn more and ask questions about the submission process. The repository is an optional resource for presenters to share their presentation file(s) with a broader, public audience.
Sarah Norris is Digital Initiatives Coordinator at the University of Central Florida Libraries. In this role, she leads the Libraries’ Digital Initiatives unit in digitization and the management of STARS, UCF's Institutional Repository. She has presented at local, state, national... Read More →
This interactive workshop empowers faculty, particularly those in service-oriented and applied disciplines, to design and integrate human-AI collaborative assignments that cultivate students’ prompting fluency, critical thinking, and reflective collaboration with AI. Through hands-on activities, discussions, live polls, and peer feedback, participants will explore scaffolded assignment frameworks that move learners from basic prompting to ethical evaluation of AI-generated outcomes. The session highlights practical design strategies, comparative tool insights, and approaches for responsibly preparing students for AI-driven workplaces of the future.#AIinEducation #GenerativeAI #FacultyDevelopment
Across campuses, the loudest conversation about AI centers on “AI-proofing” assignments and policing cheating. Great teaching does not ban tools—it designs for what the tool makes possible. This session shares a practical blueprint for AI-powered flipped learning in which first exposure happens through a standards-aligned AI tutor, while class time is reclaimed for coached problem solving and authentic application. Participants will explore design patterns that cut across disciplines—digital twins that simulate lab conditions before physical experiments, historical decision rooms that enable students to interrogate sources through agentic roleplay, writing copilots that scaffold revision and feedback, and career-connected projects that pair learners with task-specific copilots to build and critique portfolio artifacts.Rather than report research, this session delivers actionable takeaways: a modular framework for integrating AI tutors safely and effectively, a responsible-use playbook with bias-check and human-in-the-loop guidelines, and a model for small pilot programs that track cost per successful learning outcome. Attendees will leave with concrete tools to move from compliance to creativity—designing AI interactions that are safe, measurable, and discipline-authentic, transforming AI from a threat into a catalyst for learning.
