Resources
Case study
Improving Student Outcomes
A Collage AI case study from Harvard Physics. When Collage became the only platform the course used, students and the instructor stopped moving between tools and immediate feedback freed the instructor to spend their time differently.
Articles
Insights, updates, and ideas from the team.
Tips for Implementing Collage This Fall
Kelly Miller on six practices for connecting students' work in Collage to what happens in class.
Can AI really grade all that effectively?
More on AI grading research: where full automation already matches human graders, and how large language models lift novice evaluators to the proficiency of experts.
No Educational AI Without Instructional Design
Bloom’s Taxonomy in Collage’s scaffolded assessments, and why calibration is the variable that actually matters.
Designing with Cognitive Load Theory
Maximizing working memory capacity, structured right within the platform.
The Collaborative Classroom
Redefining pedagogy with AI tutors — bridging the anxiety gap so every student can ask the questions they hold back in lectures.
Redefining Faculty Professional Development in the AI Era
Why AI adoption succeeds when professional development centers the faculty who drive academic excellence.
Case studies
Real stories from teams using Collage AI.
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Events & announcements
Workshops, webinars, and what’s coming up.
At Collage, we believe that the most meaningful insights emerge through shared knowledge and collaborative learning.
Recent events include:
Monday August 3rd webinar:
On August 3rd, we hosted a webinar with partners from the U.S. and Israel to discuss Collage and highlight Harvard Professor Kelly Miller’s successful use of our platform in her applied physics course. It was inspiring to connect with attendees, especially during our live poll, where 80% of educators shared that they spend the majority of their time in the lead-up to fall semester on content creation. We’re proud that Collage helps streamline this process, freeing up time for what matters most: your teaching.
Our webinars serve as a hub for faculty, instructional designers, and leaders in education to exchange proven, high-impact strategies for the modern classroom.
Hack-a-thon!
Over the summer, we hosted a week-long, hackathon-style product focus group with several undergraduate students. With their help, we successfully identified ways to improve the intuitiveness of the platform, tested various use cases, and brainstormed over 10 new features! A special thank you to Allen Garcia, Lucille Nomaguchi-Long, and Issac Pohl for their outstanding dedication and insights.
Have questions?Find answers.
As a Public Benefit Corporation, Collage is legally bound to protect its social and educational mission, prioritizing the public good alongside financial sustainability.
Collage takes a fundamentally different approach to AI. Rather than functioning as a standalone assistant or point solution, Collage is an integrated teaching and learning platform designed around evidence-based pedagogy and the real-world workflows of faculty and students. By combining pedagogical best practices with thoughtfully integrated AI, Collage helps faculty create more engaging, personalized learning experiences. The result is a learning environment that strengthens student preparation, enhances classroom interactions, and measurably improves learning outcomes.
Your course content is used to produce lessons and assessments but is not used to train the AI model. Institution and instructor data is separated at the database level so that materials are not shared across institutions or exposed to unrelated faculty.
Collage is currently undergoing an independent audit to verify operational effectiveness over an extended monitoring period to achieve SOC 2 compliance. We maintain current HECVAT and VPAT assessments to support higher-education procurement, security, and accessibility reviews.
Collage uses the Learning Tools Interoperability (LTI) standard to connect to learning management systems, including Canvas, Moodle, Brightspace, and Blackboard. Grades can be synced back to the LMS gradebook, and instructors choose which assessments or assignments to sync. Grade transfer is managed at the activity level rather than applied automatically to everything. Collage can also be used as a standalone platform.
The intellectual property rights of materials that you input into the Collage do not change. In other words, if you own the content you upload to the platform, you continue to be the owner of it. In doing so, however, you are giving Collage license to use those materials to generate educational content and assessments for your course. You are then fully permitted to use the AI-generated outputs for your students, so long as it is not for commercial purposes.
We maintain current HECVAT and VPAT assessments to support higher-education procurement and security reviews and can make them available upon request.
