Enhance a course
Build lessons from your sources, create assessments from your materials or lessons, and set up an AI tutor your students can use around the clock. You keep the final say at every step.
Learning science as the blueprint.
Blocks and exercise types
Lesson objectives
Objectives from your materials
Upload the documents and slides you already teach with. Collage suggests learning objectives from them, and you keep the ones that fit before the lesson is generated.
Lesson blocks
Built block by block
A lesson is a stack of blocks: text, callouts, mind maps, questions, video, and nine more. Add, move, or edit any block without touching the rest.
Design thinking provides a structured, creative framework to tackle complex or "wicked" problems—ill-defined challenges that lack clear boundaries or single, straightforward answers.
- Empathetic and User-Centred Focus: Placing the actual users (such as students, researchers, or administrative staff) at the absolute heart of problem framing and solution generation.
- Action-Oriented and Haptic Learning: Embracing a learning-by-doing ethos through hands-on interaction, writing, sketch modeling, and physical building.
In the DT.Uni methodology, design challenges begin with a "How might we...?" formulation. Rather than jumping directly to predetermined conclusions, teams cycle iteratively through Explore (empathy and problem identification), Create (ideation and filtering), Prototype (tangible realization), and Evaluate (feedback and redevelopment) to systematically de-risk innovation.
Assessment
Assessments from your materials or lessons
Start from your own materials (upload files or paste text) or from a lesson you've built, and add any instructions. The AI drafts the questions, and you edit them before anything goes out.
Grading
Graded against your criteria
Each question has criteria with point weights, so the AI scores the way you would. You review its suggested grades, change any you disagree with, and release results when you're ready.
Feedback
Immediate feedback on practice
Questions inside a lesson are for practice, not grades. When a student gets one wrong, they see a hint right away and can try again.
AI tutor
Tutor settings
Students get a tutor that knows your lessons and sources. Choose Socratic mode for hints and guiding questions or Didactic mode for direct answers, then decide whether it sticks to your materials and pick a persona.
Enhance a course
Build lessons from your sources, create assessments from your materials or lessons, and set up an AI tutor your students can use around the clock. You keep the final say at every step.
Learning science as the blueprint.
Blocks and exercise types
Lesson objectives
Objectives from your materials
Upload the documents and slides you already teach with. Collage suggests learning objectives from them, and you keep the ones that fit before the lesson is generated.
Lesson blocks
Built block by block
A lesson is a stack of blocks: text, callouts, mind maps, questions, video, and nine more. Add, move, or edit any block without touching the rest.
Design thinking provides a structured, creative framework to tackle complex or "wicked" problems—ill-defined challenges that lack clear boundaries or single, straightforward answers.
- Empathetic and User-Centred Focus: Placing the actual users (such as students, researchers, or administrative staff) at the absolute heart of problem framing and solution generation.
- Action-Oriented and Haptic Learning: Embracing a learning-by-doing ethos through hands-on interaction, writing, sketch modeling, and physical building.
In the DT.Uni methodology, design challenges begin with a "How might we...?" formulation. Rather than jumping directly to predetermined conclusions, teams cycle iteratively through Explore (empathy and problem identification), Create (ideation and filtering), Prototype (tangible realization), and Evaluate (feedback and redevelopment) to systematically de-risk innovation.
Assessment
Assessments from your materials or lessons
Start from your own materials (upload files or paste text) or from a lesson you've built, and add any instructions. The AI drafts the questions, and you edit them before anything goes out.
Grading
Graded against your criteria
Each question has criteria with point weights, so the AI scores the way you would. You review its suggested grades, change any you disagree with, and release results when you're ready.
Feedback
Immediate feedback on practice
Questions inside a lesson are for practice, not grades. When a student gets one wrong, they see a hint right away and can try again.
AI tutor
Tutor settings
Students get a tutor that knows your lessons and sources. Choose Socratic mode for hints and guiding questions or Didactic mode for direct answers, then decide whether it sticks to your materials and pick a persona.
Enhance a course
Build lessons from your sources, create assessments from your materials or lessons, and set up an AI tutor your students can use around the clock. You keep the final say at every step.
Learning science as the blueprint.
Blocks and exercise types
Lesson objectives
Objectives from your materials
Upload the documents and slides you already teach with. Collage suggests learning objectives from them, and you keep the ones that fit before the lesson is generated.
Lesson blocks
Built block by block
A lesson is a stack of blocks: text, callouts, mind maps, questions, video, and nine more. Add, move, or edit any block without touching the rest.
Design thinking provides a structured, creative framework to tackle complex or "wicked" problems—ill-defined challenges that lack clear boundaries or single, straightforward answers.
- Empathetic and User-Centred Focus: Placing the actual users (such as students, researchers, or administrative staff) at the absolute heart of problem framing and solution generation.
- Action-Oriented and Haptic Learning: Embracing a learning-by-doing ethos through hands-on interaction, writing, sketch modeling, and physical building.
In the DT.Uni methodology, design challenges begin with a "How might we...?" formulation. Rather than jumping directly to predetermined conclusions, teams cycle iteratively through Explore (empathy and problem identification), Create (ideation and filtering), Prototype (tangible realization), and Evaluate (feedback and redevelopment) to systematically de-risk innovation.
Assessment
Assessments from your materials or lessons
Start from your own materials (upload files or paste text) or from a lesson you've built, and add any instructions. The AI drafts the questions, and you edit them before anything goes out.
Grading
Graded against your criteria
Each question has criteria with point weights, so the AI scores the way you would. You review its suggested grades, change any you disagree with, and release results when you're ready.
Feedback
Immediate feedback on practice
Questions inside a lesson are for practice, not grades. When a student gets one wrong, they see a hint right away and can try again.
AI tutor
Tutor settings
Students get a tutor that knows your lessons and sources. Choose Socratic mode for hints and guiding questions or Didactic mode for direct answers, then decide whether it sticks to your materials and pick a persona.
Keep exploring
Library
Find projects and activities other faculty have shared, and contribute your own.
Learn more →Collage TeamBeta
Form teams from your roster, set up activities, and grade the work.
Learn more →Case study
A 62% increase in learning gains at Harvard.
Read the case study →