发表机构
East China Normal University; Nantong University（东华师范大学; 南通大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
研究STEM教育在个性化等方面的挑战，用文献计量法分析2015至2025年242篇相关出版物，构建知识图谱揭示其演变，发现领域转变，指出人工智能通过提供智能支架推动STEM教育从知识传授向能力发展转变。
AI 中文摘要
STEM教育在个性化和跨学科整合方面面临挑战。人工智能技术带来了新的可能性，但其重塑STEM教育生态系统的机制需要系统研究。本研究采用文献计量方法分析2015年至2025年的242篇出版物，构建知识图谱以揭示其演变轨迹。研究结果表明，该领域已从智能辅导系统转变为由大语言模型驱动的探究式学习和计算思维培养。人工智能的关键贡献在于提供智能支架，降低知识理解门槛，是推动从知识传授向能力发展转变的核心驱动力。
英文摘要
STEM education faces challenges in personalization and interdisciplinary integration. AI technology has brought new possibilities, but the mechanisms by which AI reshapes the STEM education ecosystem require systematic investigation. This study employs bibliometric methods to analyze 242 publications from 2015-2025, constructing knowledge maps to reveal the evolutionary trajectory. The findings show that the field has transformed from intelligent tutoring systems to inquiry-based learning and computational thinking cultivation driven by LLMs. AI's key contribution lies in providing intelligent scaffolding that lowers the threshold for understanding knowledge. In this sense, AI is a core driving force promoting its shift from knowledge transmission to capability development.
CommentsAccepted by ISLS26 conference
