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Integrating AI in Teaching and Learning
Integrating AI in Teaching and Learning
Over the past year, I’ve been exploring how generative AI can support teaching and learning—both by creating new tools and by helping faculty engage more thoughtfully with emerging technologies. The following highlights showcase projects I’ve developed and implemented, resources I’ve built for workshops and dissemination, and work in progress. My aim is to show how AI can be integrated into pedagogy in human-centered, reflective ways.
AI in 30 (Series)
AI in 30 (Series)
This is a scaffolded, bite-sized learning series of AI demonstrations, built to help faculty demystify AI tools and consider how they may (or may not) fit into teaching and learning. Each “episode” in AI in 30 focuses on a specific AI tool, use case, or pedagogical question (for example, “AI for Course Design,” “Notebook LM: AI Powered Student Support,” "AI Agents and Assistants"). The goal is to make AI approachable without overwhelming users, providing concrete examples, cautions, and suggestions for further experimentation.
TLC TO GO
TLC TO GO
TLC·To·Go is a podcast-style series produced to deliver digestible insights about teaching and learning topics in audio form. What makes it distinctive is that the episodes were generated using NotebookLM, transforming curated resource pages into conversational audio content. This approach allowed us to experiment with AI as a content-conversion engine (text → spoken form), while retaining editorial oversight to ensure quality, clarity, and pedagogical coherence. TLC·To·Go is intended for educators with busy schedules who prefer to “learn on the go.”
Teaching Companions
Teaching Companions
The Teaching Companions is a suite of AI chatbots designed to provide on-demand, just-in-time support for faculty in the health sciences. Each Companion is focused on a pedagogical domain (e.g. course design, UDL, student engagement), offering tailored suggestions, prompts, or examples depending on user input. By enabling conversational interaction, the bots extend access to reflective coaching for instructors—especially when live consultation isn’t feasible. They also serve as an opportunity to learn about prompting (using the Bot101.app from Stanford University) and modeling for faculty that could decide to use them for their courses.
Workshops & Resources
Workshops & Resources
Created a series of research-backed resources that explore how AI can enhance both teaching and learning in higher education:
https://tlc.uthsc.edu/assessing-with-artificial-intelligence/
AI to Assist Course Design (in the works)
Alongside these resources, I’ve led workshops for faculty that focus on integrating AI responsibly into course design, assessment, and feedback, with a pedagogy first approach to enhance human teaching.
In the Works...
AI for Teaching & Learning Medallion (in development)
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This is a structured professional development course designed to help faculty engage deeply with generative AI through an experiential learning framework. Organized into five modules—ranging from foundational approaches to AI in higher education to its applications in course design, assessment, and student support—it combines micromodules, tool test-runs, structured assignments, and reflective practice.
AI for Teaching & Learning Medallion (in development)
___________
This is a structured professional development course designed to help faculty engage deeply with generative AI through an experiential learning framework. Organized into five modules—ranging from foundational approaches to AI in higher education to its applications in course design, assessment, and student support—it combines micromodules, tool test-runs, structured assignments, and reflective practice.
Built around Kolb’s experiential learning cycle, the course emphasizes Concrete Experience, Reflective Observation, Abstract Conceptualization, and Active Experimentation, inviting participants to explore how AI can mitigate, support, or elevate their teaching practices. Participants connect hands-on experimentation with conceptual understanding, culminating in a summative project that integrates AI thoughtfully into their teaching context.
This Medallion aims to foster critical, ethical, and pedagogically sound engagement with AI, preparing educators to lead innovation in their institutions while maintaining focus on learning, reflection, and human connection.
Use Cases of AI Tools for Teaching: NotebookLM (in development)
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This use case explores how NotebookLM, Google’s AI-powered notebook tool, can serve both as a learning companion and a teaching model. I’ve created a demonstration notebook that helps educators understand and experience NotebookLM’s capabilities while simultaneously modeling its use in the context of creating a space (notebook) for learners to explore a topic based on curated sources.
Use Cases of AI Tools for Teaching: NotebookLM (in development)
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This use case explores how NotebookLM, Google’s AI-powered notebook tool, can serve both as a learning companion and a teaching model. I’ve created a demonstration notebook that helps educators understand and experience NotebookLM’s capabilities while simultaneously modeling its use in the context of creating a space (notebook) for learners to explore a topic based on curated sources.
The notebook walks users through reflective and practical materials on AI-supported knowledge construction, showing how NotebookLM can organize readings, generate summaries, surface key ideas, and scaffold inquiry. It is both a use case and a meta-example—educators learn about the tool by actively using it.
This work is part of a broader effort to design authentic, hands-on learning experiences that encourage faculty to engage with AI critically, creatively, and pedagogically.
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