Join us virtually on April 30, 2026

CAEBL 2026 - CATLR's Conference for Advancing Evidence-Based Learning

Overview

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JOIN US VIRTUALLY ON THURSDAY, APRIL 30th for CAEBL 2026!

CATLR’s annual Conference for Advancing Evidence-Based Learning (CAEBL) brings together educators from across Northeastern’s global network to showcase and inspire teaching and learning-related scholarship and evidence-based practices.

CONFERENCE THEME

CAEBL 2026 invites Northeastern faculty, staff and students across all disciplines to return to the fundamental question of why learning matters—and why we teach. As AI reshapes education, we face the challenge of pivoting and adjusting while maintaining balance amid chaos, rethinking everything from student and faculty roles in learning to how we assess student work. Yet within this disruption lies an opportunity: to focus on designing experiences that foster engagement and transfer, develop critical thinking skills and creative problem solving and prepare students for an unknown future.

This conference explores how we can partner thoughtfully with AI while keeping human connection at the center—engaging students both with and without technology, motivating genuine learning, and navigating uncertainty together. We invite you to examine what it means to learn at this moment and how to create AI-enhanced education that remains authentically human-centered, helping our students develop not just knowledge, but the adaptive capacities they need most.

Registration is Open! 

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Important Dates

Please note these important dates and deadlines:

  • Attendee Registration is Open: Register Now! 
  • Conference Date: Thursday, April 30, 2026 

KEYNOTE 

Trust, safety, and humanity – What do we truly value in education? 

Three years on, what kinds of conversations are people in and around higher education having about generative AI? What conversations should we be having? In this session, we’ll explore tenets central to a vibrant higher education: trust, safety, and humanity – and consider whether we are valuing and measuring the right things, what our framing and mindsets might be suggesting, and what might be lost (and gained!) from generative AI’s advance into higher education. We’ll unpack some practical examples and discuss how we might move forward, together. 

Danny Liu

Hearing from other faculty on what they are seeing / hearing in the classroom…puts my own experience into perspective even if my experiences are different.

2023 Conference Attendee

Questions?

If you have any questions, email [email protected].