TeamShapeProcess-based assessment for AI-assisted learning
Assess the thinking,
not just the output
TeamShape captures how students reason, iterate, and work with AI — making the full learning process visible and assessable, so you can reward what actually matters.
Process-based assessment for AI-assisted learning.
The opportunity
The learning process can now be seen
Every assignment involves exploration, reasoning, and choices. With AI in the picture, the thinking behind the work matters more than ever — and for the first time, it can be captured. How students explore ideas, iterate with AI, build on each other's reasoning, and refine their thinking is now observable and assessable.
Assessing the output
- →Focuses on the final artifact
- →The reasoning behind the work stays private
- →AI is a separate, unobserved layer
- →Students are rewarded for what they deliver
Assessing the process
- ✓Captures the full reasoning journey
- ✓AI engagement quality becomes visible and assessable
- ✓Idea exploration, iteration, and curation are valued
- ✓Students are rewarded for how they think
The shift
Learning how to think with AI
is the skill that matters
Education can now reward the thinking that shapes the work — the prompts a student designs, the ideas they explore, the AI responses they challenge and curate. TeamShape makes that reasoning process visible and assessable.
How it works
Capture the full trace of learning
Create your assignment
Set up a team or individual assignment in minutes. Configure AI access, choose the model, and define your assessment criteria.
Students work with AI
Students write, discuss, iterate with AI, and develop ideas in an integrated workspace. Every step of the reasoning process is captured automatically.
Assess what matters
Review how each student engaged — their reasoning depth, AI orchestration quality, and intellectual contribution. Reward the process, not just the product.
The workspace
AI becomes part of the learning conversation
Students work in an integrated environment with a document editor, discussion space, private scratchpad, and AI assistants. TeamShape captures how they explore, reason, and build on ideas — making the learning process visible and assessable.
Idea exploration
Private scratchpads let students develop ideas before sharing them. Drafts, false starts, and reasoning depth are all part of the learning record.
AI-assisted reasoning
AI is part of the workspace. How students prompt, iterate, challenge, and curate AI output reveals their intellectual engagement.
Collaborative thinking
Team discussions, peer feedback, and shared editing capture how ideas evolve through collaboration. The student who asks the right question gets recognized.
AI orchestration skill
TeamShape captures how effectively students work with AI: whether they iterate, curate, challenge responses, or rely on their own ideas to drive the result.
Individual contributions
In team assignments, TeamShape identifies each student's individual contribution — so you can see who did what, and how each person shaped the final result.
Instructor flexibility
Use process insights as a bonus, integrate them into grading, or simply gain visibility into how students learn. It's your choice — TeamShape adapts to your approach.
Why it works
When the process is rewarded, students invest in it
Students want to use TeamShape's AI because the platform captures their reasoning process — and that's what earns them credit. The thinking trail is the assessment.
Thinking is valued
Exploring ideas, iterating with AI, and refining drafts all contribute to the assessment — alongside the final text.
Better AI use earns more credit
Designing thoughtful prompts, challenging AI responses, and curating output earns more credit the more engaged the student is.
Every contribution counts
Raising a good question, structuring the team's reasoning, or connecting ideas across sources — all recognized.
FAQ
Common questions
What do students see?+
Students work in the same workspace and know that their reasoning process is part of the assessment. This transparency is what drives engagement — they invest in the process because the process is what earns them credit.
Does it work for individual assignments too?+
TeamShape supports both team projects and individual assignments. Whether students are working alone or in groups, the platform captures the reasoning process — idea exploration, AI interaction, drafting, and revision.
Can I use my own rubric and assessment criteria?+
Yes. You define what good work looks like, and TeamShape uses your criteria to evaluate the work. You also decide how to use the process insights — as a bonus, as part of the grade, or simply as a window into how students learn.
What AI models are supported?+
TeamShape supports OpenAI models including GPT-4o, GPT-4o mini, o3, and others. You choose the model per assignment and provide your own API key — giving you full control over cost and capability.
How does it handle student data and privacy?+
Private scratchpads and private AI conversations are visible only to the student and the instructor. Other students never see them. All data is stored securely and can be deleted on request.
What subjects does it work for?+
Any assignment where students produce written work — individually or in teams. Case analyses, research reports, policy briefs, essays, problem sets with written reasoning, project proposals. If students write and think, TeamShape can capture and assess the process.
Developed by a research team studying AI and collaboration in education.
Ready to assess what matters?
Set up your first assignment and see the learning process for yourself.
Try it with your next assignment