小学社会研究的未来:通过循证实践发挥人工智能的潜力

Steven Grubaugh, Greg Levitt
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引用次数: 0

摘要

本文探讨了支持将人工智能(AI)融入小学社会研究教育的越来越多的研究证据。文章确定并分析了人工智能的十项关键循证应用,这些应用已证明具有提高学生参与度、个性化学习体验和培养基本历史思维能力的潜力。讨论批判性地评估了在此背景下与人工智能整合相关的教学意义、优势和挑战。为在小学社会研究课堂中负责任地、有效地实施人工智能工具提出了建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Future of Elementary Social Studies: Harnessing AI's Potential Through Evidence-Based Practices
This article explores the growing body of research evidence supporting the integration of Artificial Intelligence (AI) in elementary social studies education. It identifies and analyzes ten key evidence-based applications of AI that have demonstrated potential to enhance student engagement, personalize learning experiences, and cultivate essential historical thinking skills. The discussion critically evaluates the pedagogical implications, advantages, and challenges associated with AI integration in this context. Recommendations are provided for the responsible and effective implementation of AI tools in elementary social studies classrooms.
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