Teaching and Learning with AI Conference

As AI becomes embedded in academic writing, data analysis, and literature review practices, doctoral students are left to interpret inconsistent or missing guidance. This session shares emerging research on how students actually use AI, the ethical tensions they encounter, and what institutions can do to create clear, responsible guidelines. Participants will gain insight into designing policies and supports that keep pace with rapidly evolving technologies.Generative AI; graduate research; academic policy

Learn how the University of Pennsylvania launched a collaborative, university-wide professional development initiative to enhance faculty and staff AI fluency. Discover how we did it, what we learned, and how to create a similar program at your own institution without relying on external vendors or specific AI platforms. You’ll learn about our process, recommendations, limitations, and future plans, and leave with practical details like budget considerations, learning objectives, and curricular materials to jump-start an AI fluency initiative of your own.#facultydevelopment #curriculumdesign #lessonslearned

Curious how artificial intelligence can make reflective discussions more dynamic and meaningful? This session explores AI as a mediating tool that enhances rather than replaces the intersubjective dimensions of reflective practice. Engage in interactive activities demonstrating how AI supports critical discourse analysis of learning narratives, facilitates perspective-seeking through generated alternative viewpoints, and scaffolds movement from descriptive to critical reflection. For students, this approach develops deeper analytical skills, broadens understanding through multiple viewpoints, and enhances engagement in reflective dialogue, resulting in more meaningful learning experiences.Three Keywords:Reflective DialogueCritical DiscourseAnalytical Skills

Joy enters AI literacy when we stop treating AI as “intelligent” and begin seeing it as math revealing useful patterns in data. This session offers a clear, hopeful reframing through two academic lenses: mathematics as the engine of pattern recognition, and information literacy as the practice of tracing how ideas—and even individual predicted words—emerge from human sources. Together, these lenses dissolve confusion and open the door to teaching AI with confidence, ease, and joy. Why? Because math shows us the statistically overwhelming pattern of people showing up to help every time we use AI.

This session will share key elements of teaching and AI faculty learning communities at Oregon State University, and offer practical guidance for designing and facilitating learning communities that meaningfully engage faculty coming from diverse disciplines with varied perspectives and experience with AI in education. Faculty recruitment, learning community structure and scale, learning outcomes, facilitation, and blending of synchronous and asynchronous components will be illustrated. The presentation will show how learning communities reinforce and extend other campus AI faculty development. Participants will leave with materials and approaches they can readily apply to create or enhance AI learning communities at their institutions. Keywords: #faculty learning communities #faculty development #teaching and AI

As AI-generated responses become increasingly more robust, many traditional discussion prompts no longer elicit authentic student thinking. This session explores how video-based discussions can foster Regular and Substantive Interaction (RSI) and increase engagement while reducing cognitive offloading in online learning. Participants will learn to design AI-resistant, student-centered prompts that promote connection, motivation, and genuine engagement. Through a live demonstration and a redesign activity, attendees will see how asynchronous video and structured peer interaction create meaningful learning opportunities for faculty and students. The presenters will share how these tools enhance participation and belonging in the online classroom and in professional development.

Artificial intelligence is rapidly transforming student life, from tutoring apps to AI companions, and with it come new ethical and relational challenges. The REAL Framework (Retained, Eroded, Atrophied, Leveraged) provides a practical model for evaluating how AI affects authentic human connection. This presentation equips educators to help students discern whether AI tools preserve or erode empathy, community, and ethical growth, while also identifying ways to leverage technology for the common good. Participants will explore classroom-ready applications and discussion tools that foster discernment, digital ethics, and the responsible use of AI across multiple disciplines. #ethics #REALframework #responsibleAI

Critical thinking sits at the heart of higher education, yet many learning materials still encourage passive consumption rather than active reasoning. This project introduces error-seeded AI assignments, a teaching strategy that transforms AI-generated content into interactive learning tools. Using platforms such as ChatGPT, Descript, or Synthesia, instructors create short texts, videos, or podcasts intentionally embedded with various errors. Students then identify, explain, and correct these mistakes, turning AI into a catalyst for reflection and analysis. Adaptable across disciplines, this approach promotes deeper understanding, curiosity, and engagement while redefining how AI can be used not just to deliver information, but to develop thinkers. #CriticalThinking#CreativePedagogy#AIContentCreation

Artificial intelligence marks the next major transformation in higher education, reshaping how courses are conceived, designed, and delivered. This session explores practical yet imaginative ways AI can amplify creativity, streamline design, and open new modes of collaboration between humans and machines. Participants will see live examples of AI tools including ChatGPT, Gemini, NotebookLM, and Claude, working together to support ideation, research, and multimodal course creation. Attendees will leave inspired to experiment with AI-driven design approaches that transcend discipline and redefine what it means to create learning experiences.