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Primer: AI framework aids educators in creating adaptive simulations

A new open-source framework called Primer has been developed to assist educators in creating adaptive educational simulations. Primer is designed to be LLM-agnostic, allowing instructors to contribute their subject matter expertise, lesson plans, and student knowledge, which the AI then uses to generate varied practice scenarios. The system employs a multi-agent approach centered on executing the educator's instructional intent throughout the learning experience. By releasing Primer as open-source, including its prompts and GitHub repository, the developers aim to foster research and development in educator-in-the-loop AI authoring and multi-agent educational workflows. AI

IMPACT Could streamline the creation of personalized learning experiences and advance research in AI-driven educational tools.

RANK_REASON The cluster is about an academic paper detailing a new AI framework for educational simulations. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

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Primer: AI framework aids educators in creating adaptive simulations

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The cluster is about an academic paper detailing a new AI framework for educational simulations. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Ethan Mollick, Lilach Mollick, Ben Przystanski, LJ Ciccarelli, Natalie Bach, Laura Zarrow ·

    Primer: An AI Framework for Instructor-Centered Educational Simulation Creation

    arXiv:2611.16986v1 Announce Type: new Abstract: Educational simulations are a well-established pedagogical technique that gives learners opportunities to apply knowledge, respond to challenges, and reflect on their performance. High-quality simulations, however, are difficult to …