MicroSims: 一个用于AI生成、可扩展教育模拟的框架，具有通用嵌入和自适应学习支持
MicroSims: A Framework for AI-Generated, Scalable Educational Simulations with Universal Embedding and Adaptive Learning Support
AI总结：
MicroSims通过AI生成和通用嵌入技术，为教育者提供低成本、易定制的交互式模拟工具，提升学习效果并促进教育公平。
摘要：
教育模拟长期以来被认可为增强学习成果的强大工具，但其创建通常需要大量资源和技术专业知识。本文介绍了MicroSims，一种新的框架，用于创建轻量级、交互式教育模拟，可以使用人工智能快速生成，能够普遍嵌入到数字学习平台中，并且可以轻松定制而无需编程知识。MicroSims处于三个关键创新的交汇点：（1）标准化的设计模式，使AI辅助生成成为可能；（2）基于iframe的架构，提供通用嵌入和沙盒安全；（3）透明、可修改的代码，支持定制和教学透明性。我们提出了一个涵盖设计原则、技术架构、元数据标准和开发流程的综合框架。基于物理教育研究的实证研究和跨STEM学科的元分析，我们证明交互式模拟可以将概念理解提高30-40%以上，相比传统教学。MicroSims在解决持续存在的成本、技术复杂性和平台依赖性障碍方面也具有优势。这项工作对教育公平、低成本智能交互教材具有重要意义，使全球教育者能够按需创建定制化的、符合课程大纲的模拟。我们讨论了实现考虑因素，展示了有效性证据，并概述了基于MicroSim基础的AI驱动自适应学习系统的未来发展方向。
英文摘要：
Educational simulations have long been recognized as powerful tools for enhancing learning outcomes, yet their creation has traditionally required substantial resources and technical expertise. This paper introduces MicroSims a novel framework for creating lightweight, interactive educational simulations that can be rapidly generated using artificial intelligence, universally embedded across digital learning platforms, and easily customized without programming knowledge. MicroSims occupy a unique position at the intersection of three key innovations: (1) standardized design patterns that enable AI-assisted generation, (2) iframe-based architecture that provides universal embedding and sandboxed security, and (3) transparent, modifiable code that supports customization and pedagogical transparency. We present a comprehensive framework encompassing design principles, technical architecture, metadata standards, and development workflows. Drawing on empirical research from physics education studies and meta-analyses across STEM disciplines, we demonstrate that interactive simulations can improve conceptual understanding by up to 30-40\% compared to traditional instruction. MicroSims extend these benefits while addressing persistent barriers of cost, technical complexity, and platform dependence. This work has significant implications for educational equity, and low-cost intelligent interactive textbooks that enabling educators worldwide to create customized, curriculum-aligned simulations on demand. We discuss implementation considerations, present evidence of effectiveness, and outline future directions for AI-powered adaptive learning systems built on the MicroSim foundation.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
