Feature Highlights 🚀
Colleague AI Classroom just got an upgrade. 🚀
Teachers can now upload and organize their own files in the new Classroom Learning Library.
Give your students a 24/7 digital hub for every resource you share in class, all in one place and easy to access whenever they need it.
Check out the new upload tool now!
Our Research 🔬
Meet Colleague AI R&D Team at AERA & NCME 2026 in Los Angeles, CA
Interested in learning more about our research? We will be presenting at several sessions at the American Education Research Association Conference and at the National Council on Measurement in Education conference.
AERA Session 1
How Teachers Use Generative AI Tools
Thursday, April 9 at 2:15 PM
The Westin Bonaventure
Floor: Lobby Level, Santa Barbara C
Join Dr. Alex Liu as she presents her work exploring how teachers use generative AI tools. Learn more about the fundamental research underpinning the development of Colleague AI's features.
AERA Session 2
Responsible AI Use in K-12 Learning
Friday, April 10 at 3:45 PM
Los Angeles Convention Center
Floor: Level Two, Room 515A
Join us for a structured poster session with Colleague AI's academic partner, the University of Washington AmplifyGAIN Center. At this session, four federally funded AI R&D centers will share their work researching responsible AI use in K-12 learning.
NCME Session
LLM Graders and Human Benchmark Score Alignment
Friday, April 10 at 3:30 PM
Victor Tian will present research evaluating score alignment between LLM graders and human benchmark scores. Come learn about quadratic weighted kappa and the statistical analysis underlying Colleague AI's features.
Survey 📋
We'd love your feedback
Your feedback helps us make Colleague AI better. Please take 2 minutes to complete our survey about the new design.
Our Workflow 🎬
Discover how AI can help teachers build meaningful Tier 2 supports without pulling students away from grade-level learning
In this video, Ryan, a Multilingual Learner Specialist in Bellingham, Washington, shares practical ways to use Colleague AI to create standards-based interventions, scaffold prerequisite skills, generate accessible worksheets, build interactive learning supports, and even design a custom multilingual chatbot for students.
What stands out most is the flexibility. Teachers can bridge unfinished learning, support multilingual learners, customize materials with dignity in mind, and gain insight from student performance data and chat summaries.
This is a powerful example of how AI can support inclusive, research-based instruction and help every student participate in the general learning community.
Watch to see how teachers can:
✨ Create targeted prerequisite practice from existing lessons
✨ Scaffold materials for multilingual learners
✨ Generate interactive supports aligned to lesson flow
✨ Build custom chatbots for differentiated student help
✨ Use student interaction data to inform next steps
If you are interested in AI for teaching and learning, this is a great example of what is possible in real classrooms.
