Teaching and Learning with AI Conference

When faculty share their values about AI, they make learning goals explicit, reduce anxiety, and model reflective thinking. When students articulate their own AI values, they develop metacognitive awareness and ownership of their learning. In this interactive session, participants will explore the concept of an AI Value Statement: a brief reflection that helps articulate how AI supports (or challenges) meaningful learning. Through guided reflection, a values-based card-sorting activity, peer dialogue, and a scaffolded writing exercise, participants will draft their own AI Value Statement and examine how the same framework can be used with students, including as an early-course or Day 1 activity.  #FacultyDevelopment #AIEthics #StudentEngagement

A significant challenge to supporting student learning in the age of AI is miscommunication between instructors and students about appropriate use in a variety of contexts. To help with that challenge, our teaching center designed the Student GAI Use Scale. This session will share that student-centered scale as a resource for others along with feedback from instructors and students who have used it in their classes. Attendees will also be invited to share and brainstorm other key approaches and tools for effective communication between instructors and students to enhance the development of critical GAI literacies in learning environments.(Communication, AI Literacies, Ethical Use)

As generative AI becomes widely available to students, faculty across disciplines face a common challenge: how to use AI to support learning without turning it into an answer engine that replaces student thinking. This interactive session presents a practical instructional framework that positions AI as a cognitive partner to support student planning, monitoring, and reflection during problem solving. Using a hands-on coding workshop as a concrete example, participants will examine structured AI prompting strategies, “explain-first” guardrails, and guided exploration techniques that preserve student ownership of reasoning. Attendees will leave with transferable design patterns they can adapt to their own courses, regardless of discipline or modality.#TeachWithAI #Metacognition #FacultyDevelopment

Discover how spiraled assignment design can guide deeper learning and intentional AI integration across any course. This session introduces a spiral design framework that helps faculty scaffold skills, promote metacognition, and embed generative AI at key points for exploration, reflection, and progression through increasingly complex skills.  Participants will learn how to design assignments into a spiraling curriculum that intentionally incorporates generative AI to reinforce learning objectives over time. #SpiralLearningNotYourself #AiAssistedLearning

This session introduces an adaptable documentation and reflection framework designed to preserve core writing skills while integrating ethical AI assistance. Attendees receive access to a Writing Processing Hub that uses structured prompts to guide both AI-users and non-users through metacognitive reflection of their writing process. Guided documentation strategies help students engage their critical thinking while supporting academic integrity and intentionally crafted prompting templates teach students how to use AI as an editing tool rather than a content generator. The session will share insights into implementation successes, challenges, and next steps for writing-intensive courses like Research Methods. #AIPedagogy #AIInWriting #TeachingTransparency

False accusations of cheating based on unreliable AI-detection tools can erode trust, undermining constructive faculty-student relationships. Caution regarding GenAI’s impact on learning integrity is warranted, but a policing mindset contributes to student anxiety and negates the emotional dimensions of learning. Drawing on student experiences that highlight faculty’s central role in shaping students’ AI-adoption, this session proposes a mentoring mindset as a human-centric approach to academic integrity. Mentoring shifts the cat-and-mouse dynamic. Faculty become guides through intentional learning frameworks that invite honest discussion. Participants will examine opportunities and pedagogical challenges of a mentoring-mindset and crowdsource interdisciplinary-practices that position faculty as approachable mentors.  #mentor #intentional-AI #human-centric-AI

What if we redesigned learning architecture rather than automating existing models? The University of Illinois Gies College Business prototypes "Learning 3.0" where faculty define outcomes and standards while AI personalizes pathways to shared competencies. See AI avatars and dynamic content in action. Learn how to preserve human judgment where it matters while achieving personalization at scale; increasing rigor, relevance, and efficiency simultaneously. Leave with practical artifacts for piloting adaptive learning in your context. #AdaptiveLearning #HumanAI-Collaboration #PersonalizationAtScale

After launching BoodleBox at over 100 colleges and universities, clear patterns have emerged—what accelerates meaningful adoption, what stalls it, and what surprises everyone. This session shares candid lessons from the founder's perspective: which institutional strategies drive faculty buy-in, how students actually use AI when given structured access, why some implementations thrive while others falter, and the role of leadership in setting AI culture. We'll examine common pitfalls, unexpected wins, and the critical questions institutions should be asking now to prepare for what comes next in AI-enabled education. Come ready for an honest, forward-looking conversation.

Students form impressions about our courses long before the first assignment. This session explores how AI can help us design stronger first-day experiences, from clearer framing and enhanced syllabi to engaging activities that spark curiosity and peer interaction. We’ll use AI to create syllabi that go way beyond course policies and deadlines, and we’ll brainstorm first-day strategies that’ll capture students’ attention and build belonging. Instead of routine syllabi read-throughs, we’ll see how AI can help us elevate our first day of class and show students how our course works and why it matters from the very start. #AI-enhanced-syllabi #teaching-with-AI

The University of North Texas at Dallas proposes the development of a Justice-Applied Artificial Intelligence minor embedded within its Bachelor’s degree in Criminal Justice. This 15–18 credit hour interdisciplinary minor is designed to equip future justice professionals with essential AI literacy while examining the ethical, legal, and operational implications of artificial intelligence in policing, courts, corrections, and policy analysis. The presentation will outline curriculum design, workforce relevance, and governance considerations, highlighting how applied AI education can responsibly enhance decision-making, transparency, and accountability across the criminal justice system.