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AI AGENTS AND EDUCATION: SIMULATED PRACTICE AT SCALE

Authors
Ethan Mollick,
Lilach Mollick,
Natalie Bach,
LJ Ciccarelli,
Ben Przystanski,
Daniel Ravipinto
Date
Publisher
arXiv
This paper explores the potential of generative AI in creating adaptive educational simulations. By leveraging a system of multiple AI agents, simulations can provide personalized learning experiences, offering students the opportunity to practice skills in scenarios with AI-generated mentors, role-players, and instructor-facing evaluators. We describe a prototype, PitchQuest, a venture capital pitching simulator that showcases the capabilities of AI in delivering instruction, facilitating practice, and providing tailored feedback. The paper discusses the pedagogy behind the simulation, the technology powering it, and the ethical considerations in using AI for education. While acknowledging the limitations and need for rigorous testing, we propose that generative AI can significantly lower the barriers to creating effective, engaging simulations, opening up new possibilities for experiential learning at scale.
Study at a glance
  • Question: How can generative AI be used to create adaptive simulations for students to practice skills?
  • Setting and data: Not stated in the abstract
  • Method: Description of a prototype simulation tool
Why it matters

Simulations can provide personalized learning experiences where students practice skills with tailored feedback. Exploring how generative AI lowers barriers to creating these adaptive simulations opens up new possibilities for experiential learning at scale.

Key findings
  • In a venture capital pitching simulator, generative AI demonstrated how automated agents can deliver instruction, facilitate practice, and provide tailored feedback.
  • Systems of multiple AI agents can provide personalized learning experiences by serving as student mentors, scenario role-players, and instructor-facing evaluators.
  • Generative AI can significantly lower the barriers to creating effective, engaging simulations, expanding possibilities for experiential learning at scale.

Summary drafted with AI from the paper’s abstract and may contain errors. See the full paper for details.

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