Wharton Lab open-sources educational simulation system Primer
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The University of Pennsylvania's Wharton Generative AI Lab has open-sourced Primer, an educational simulation-building system aimed at teachers rather than developers. Teachers can design and run instructional simulations through structured interviews and a multi-agent pipeline, with educators' judgment driving the process. The lab states that Primer is an experimental prototype, not a vetted classroom product; it has not been evaluated as a learning intervention under classroom conditions, nor has it undergone compliance review under FERPA, COPPA, state student privacy laws, or district policies. Institutions using it for student instruction must complete these reviews themselves. In addition, after handing the full paper and prompts to the agents, runs may last several hours and incur paid model usage. Primer is not tied to a specific large model and can run with local or open-source models, allowing it to adapt to different privacy and governance requirements.
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- Hacker News AITurning Teacher Expertise into AI-Generated Educational Simulations
The Generative AI Labs team introduces Primer, an open-source system that lets educators build educational simulations through a structured AI interview rather than code, producing a reviewable design document that must be approved before any simulation is built. Specialized agents then create and run the simulation, with student-facing mentor, practice (Roleplay or Teachback), and feedback agents, and educators receive individual and aggregate performance reports. Primer is described as an experimental prototype, not a vetted classroom product, and its prompts, templates, and code are released on GitHub.
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