【作 者】：
王 陆，彭 玏，马如霞
【关 键 词 】：
高质量发展； 循证实践； 高质量课堂； 课堂教学改进； 数据特征
【栏 目】：
理论探讨
【中文摘要】：
文章围绕打通从高质量课堂教学建设理念到具体教学实施的“最后一公里”的问题，以“高质量课堂教学的数据特征是什么样子的？”及“如何基于大数据循证优化现有的课堂教学，以实现高质量课堂？”两个核心问题，基于循证实践的视角，从前人研究的文献成果中梳理了目前已经发现的高质量课堂教学的特征，并通过开展基于人工智能和大数据技术的证据创制的实证研究，提出了基于大数据的高质量“好课”的9大数据特征，为一线中小学教师开展基于高质量课堂数据特征的教学改进提供了详细的循证实践指南。最后，反思分析了运用AI+大数据等技术创制证据所面临的机遇和挑战。
【英文摘要】：
Focusing on the issue of bridging the "last mile" from the concept of constructing high-quality classroom teaching to the specific teaching implementation, on the basis of two key questions of "what the data characteristics of a high-quality classroom teaching are" and "how we can optimize existing classroom teaching based on big data evidence to achieve a high-quality classroom teaching", this paper sorts out the characteristics of high-quality classroom teaching that have been identified so far from the literature results of previous studies bases on an evidence-based practice perspective. Then, through an empirical study of evidence creation based on artificial intelligence and big data technologies, this paper proposes nine major data characteristics of a high-quality "good lesson" based on big data, providing a detailed evidence-based practical guidance for primary and secondary school teachers to improve their teaching based on the characteristics of a high-quality classroom. Finally, this paper reflects and analyzes the opportunities and challenges in creating evidence using technologies such as AI plus big data.
【下 载】：
大数据循证视角下高质量课堂教学的数据特征