2026 Schedule

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“The AI study assistant helped me feel less isolated during late-night study sessions when I was struggling to understand difficult topics on my own.”
      Recent feedback from a University of London student

Join Tim Hall (University of London) and Jim Wagstaff (Noodle Factory) for a faculty-to-faculty conversation about what becomes possible when AI is grounded in your course materials, embedded in an LMS, and designed around your learning outcomes. Drawing on UoL’s implementation of Noodle Factory, Tim and Jim will share how learning designers and academics have moved from cautious experimentation to proposing their own authentic role plays, formative scenarios, and agentic learning activities, each tied to a specific learning outcome.

For BU faculty, the questions are practical. How can trusted, course-grounded AI support clinical reasoning, communication practice, and assessment preparation? Where does it sit alongside other tools like ChatGPT and Claude that students already use? And what does institutional AI mean for equity within a cohort?

The session includes a short live demonstration of one teaching workflow and extended Q&A.

We’ll explore two differing assessment solutions. Learn how ExamSoft allows for digital testing while also blocking the use of AI-powered misconduct and what’s new and on deck for both our Legacy & Enterprise platforms. We’ll also explore paper-based assignment and testing capabilities through Gradescope as an alternative, as well as the AI powered tools within that ensure quick & easy scoring/grading, feedback, and more for Instructors.

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This session will highlight how Boston University students, residents, and faculty use VisualDx to support clinical decision-making, strengthen diagnostic reasoning, and enhance medical education. Through real-world examples, we’ll explore how VisualDx’s image-rich clinical content and differential diagnosis tools help learners build confidence, recognize variation in disease presentation, and engage patients in shared decision-making. The session will focus on practical, existing features available to the BU community today, with a brief look at how emerging AI capabilities are further augmenting clinical insight and educational outcomes.

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Join Blackboard for a fast paced Ultra Quick Hits session highlighting impactful features in the Ultra course experience. You will also get an exclusive first look at the new Gradebook Grid View, scheduled for release this summer. This is a great opportunity to see what’s new, what’s coming, and how these updates can streamline your Blackboard experience.

Topics include Gradebook Grid View, Batch Edit, Announcements (video and data on who viewed announcements), Creating/re-using content, Ultra Document, AI Conversations and New discussions settings.

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As institutions around the world rapidly experiment with AI, many are discovering that successful adoption depends less on the technology itself and more on understanding where AI helps, where it falls short, and where human expertise must remain central. In this session, Echo360 Chief Global Product & Tech Officer Kathryn Stewart will share observations and emerging patterns from educators and institutions navigating AI in teaching and learning environments. The discussion will explore how human-in-the-loop approaches can support trust, transparency, engagement, and academic integrity while helping institutions move from experimentation toward more thoughtful and responsible AI adoption.

Workshop A: LLMs Go Head-to-Head: Large Language Models vs. Legitimate Librarian Methods for Advanced Database Searching (Room L201/203)
Workshop B: When the Algorithm Disagrees: Teaching Clinical Judgment in the Age of AI (Room L211)
Workshop C: Integrating Artificial Intelligence into Health Sciences Education: A Framework for Teaching and Learning (Room L206-209)
Workshop D: Funding Health Professions Education Innovation & Shipley Academic Innovation Fund Information Session (Room L213)

In this interactive session, participants will begin crafting their own plan for AI integration, building on human-centered principles and research-based use cases from BU faculty.