Resources

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Case study

Improving Student Outcomes

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.

Article

Making Active Learning Practical and Scalable

Allison Westgate on structured pre-class learning, embedded formative assessment, and freeing class time for discussion and application.

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Article

Uncheating: Designing an Alternative to the Blue Book

Why AI policy is an assessment design problem, not just an enforcement problem.

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Article

Tips for Implementing Collage This Fall

Kelly Miller on six practices for connecting students' work in Collage to what happens in class.

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Article

Designing with Cognitive Load Theory

Maximizing working memory capacity, structured right within the platform.

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Article

The Collaborative Classroom

Redefining pedagogy with AI tutors — bridging the anxiety gap so every student can ask the questions they hold back in lectures.

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Article

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.

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Article

Redefining Faculty Professional Development in the AI Era

Why AI adoption succeeds when professional development centers the faculty who drive academic excellence.

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Article

No Educational AI Without Instructional Design

Bloom’s Taxonomy in Collage’s scaffolded assessments, and why calibration is the variable that actually matters.

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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 educators, 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.

Collage AI is an AI-powered teaching and learning platform built on pedagogical best practices like backward design and cognitive load theory. It helps educators design, deliver, assess, and improve personalized learning at scale, with full security, LMS integration, and instructor oversight built in.

Collage AI is built for higher education and high school instructors and students. Unlike generic AI tools, it's designed around real educator and student workflows, keeping instructors in full control of content and instructional decisions.

No. Collage AI, Inc. is an AI teaching and learning platform for higher education and high school instructors and students. It is not affiliated with Collage HR, Colleague AI, StudyHall.AI, or the Collage photo-collage app. Our only official website is collage-ai.com.

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, Collage is an integrated teaching and learning platform built around pedagogical frameworks such as backward design and cognitive load theory. It identifies individual student knowledge gaps through a red-yellow-green mastery model and supports partial credit across multiple valid solution paths, so personalization is grounded in how each student is actually performing. The result is a learning environment that strengthens student preparation and measurably improves learning outcomes.

Educators and institutions often want to know exactly how their course content is handled. 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 materials are not shared across institutions or exposed to unrelated educators.

Institutions evaluating Collage often need to satisfy formal security, procurement, and accessibility review before moving forward. Collage maintains current HECVAT and VPAT assessments, available upon request, so your IT, security, and accessibility teams can complete their review without delay. We are also currently undergoing a full SOC 2 Type II audit to verify operational effectiveness over an extended monitoring period.

Collage integrates with major learning management systems, including Canvas, Moodle, Brightspace, and Blackboard, using the LTI standard, and grades can be synced back to the LMS gradebook at the activity level, so instructors choose exactly which assessments transfer. For institutions without a supported LMS, Collage also runs as a standalone platform, so LMS integration is a convenience, not a requirement.

Educators often worry that uploading course materials means giving up ownership of their work. The intellectual property rights of materials you input into Collage do not change: if you own the content you upload, you continue to own it. In doing so, you grant Collage a license to use those materials to generate educational content and assessments for your course. You also own the AI-generated outputs, so long as you do not use them for commercial purposes.

Building the infrastructure to support better student outcomes, together with educators, and learning science as our blueprint

Building the infrastructure to support better student outcomes, together with educators, and learning science as our blueprint

© 2026 Collage AI, Inc.

© 2026 Collage AI, Inc.

20 Holyoke St, Cambridge, MA 02138

20 Holyoke St, Cambridge, MA 02138