Teaching and Learning with AI Conference

Effective AI literacy professional development requires sensitivity to diverse faculty perspectives, especially deep-seated skepticism of artificial intelligence. This session explores a strategy for creating an inclusive, practical, and faculty-centered training series in AI pedagogy. Discover a scaffolded approach that respects faculty bandwidth while providing high-reward learning paths that prioritize human-centered design and sound pedagogical principles. Learning targets and sample activities for three targeted sessions will be shared, along with early findings from the implementation.

In this interactive session, we will explore the critical role of artificial intelligence in supporting student persistence and success. While AI offers powerful tools to guide and motivate learners, its true potential lies not just in intervention, but in knowing precisely when to step back and empower students to take ownership. Discover how designing AI systems with thoughtful handoff points can enhance student autonomy, reduce resistance, and build long-term resilience. Join us to learn why the future of education depends on AI that balances support with independence, ensuring every student’s journey is both empowered and sustainable.

This session offers a fast, practical look at building custom student-facing bots that support real learning instead of producing “slop.” Using CapBot (a bot for my Capstone course that provides more general feedback and help with assignments) and CapBot PA (a bot that provides research paper assistance using my rubrics and APA guidelines), I’ll demo how rubric-aligned coaching, structured prompts, and strategic refusals guide students through revision, self-checking, and reflection while keeping the work theirs. I’ll also share how I designed the bots to support competence, autonomy, and relatedness, so students feel more capable, more in control, and more engaged with the course.#rubric-aligned feedback #custom bot #self-determination theory

This session explores applying Universal Design for Learning (UDL) principles through AI to support students with disabilities and promote inclusive teaching. We’ll share scenarios demonstrating how AI tools enhance accessibility, enable adaptive learning, and integrate assistive technologies such as speech-to-text and alternative text generators. Attendees will see live demonstrations of free tools, learn about funded options, and gain practical strategies for implementation in their own contexts. Designed for librarians but relevant to all educators, the session concludes with a Q&A focused on real-world applications and invites audience collaboration. Presenters are academic librarians from two institutions.Keywords: Accessibility, Universal Design for Learning, AI Tools for Inclusive Learning