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作 者:许世红[1] 邓伟伦 王芳 靳小波 黄丽芳 刘军民 Xu Shihong;Deng Weilun;Wang Fang;Jin Xiaobo;Huang Lifang;Liu Junmin
机构地区:[1]广东省教育研究院,广州510035 [2]广州市文德路小学 [3]努比技术(广州)公司
出 处:《教育测量与评价》2022年第4期30-42,共13页Educational Measurement and Evaluation
基 金:广东省重点领域研发计划“新一代通信与网络”重大专项(第七批)项目“5G+智慧教育”(2020B0101130014)的研究成果。
摘 要:运用课堂教学智慧评价系统(CSMS)从思维激发、交流互动等方面,对3节小学数学计算类新授课进行课堂大数据分析,检查课堂教学中数学核心素养的培育状况。研究表明,CSMS在思维激发、交流互动、关注全体等方面为教师诊断课堂教学结构的合理性提供了强大可靠的数据支撑,作为学科组教研的技术支持手段,CSMS诸多指标为课堂教学提供优化方向,对于推动核心素养在数学课堂教学中的有效落地具有积极作用。The collaborative application of teaching research of the discipline group and the classroom structure-based multi-model-supported scoring system(CSMS)can promote the effective implementation of core literacy cultivation in classroom. CSMS was used to conduct classroom big data analysis on three Mathematics calculation classes in primary school,mainly from the aspects of thinking stimulation,communication and interaction,to assist teachers to check how to cultivate primary Mathematics core literacy in classroom. CSMS provides powerful and reliable data support for teachers to diagnose the rationality of classroom teaching and learning structure in the aspects of thinking stimulation,communication and interaction,and paying attention to the whole. Many CSMS indicators provide optimization directions for classroom teaching,which has a positive effect on promoting the effective implementation of core literacy in Mathematics classroom teaching.
关 键 词:人工智能 课堂教学智慧评价系统(CSMS) 核心素养 学科组教研 教学诊断
分 类 号:G40-058.1[文化科学—教育学原理]
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