教育大数据支持的教师教学决策改进与实现路径

发布时间：2019-08-07 16:14

【摘要】：教师教学决策是课堂教学质量的关键影响因素,对整个教学活动流程起着导向作用。由于对主体经验的过度依赖和相关教学信息的把握不足,面对复杂的教学情境容易造成决策失当。教育大数据对信息的整合、预测及内在的理性价值追求,能够实现教学设计的数据引导与科学预测、教学互动的即时决策与个性引导、教学评价的系统评估与有效反馈。它是实现教学决策合理化、科学化的有效手段。借鉴西方发达国家利用教育大数据支持教育教学决策的实践经验,结合我国的现实情境,此研究提出了我国基于教育大数据改进教学决策的实现路径,建议从整合优化教育数据系统、提供政策支持与数据质量标准、培养提升教师数据素养、将数据教育纳入教师培训体系等方面,促进教师教学科学决策的能力和水平的提高。
[Abstract]:Teachers' teaching decision is the key factor of classroom teaching quality, which plays a guiding role in the whole teaching process. Due to the excessive dependence on the subject experience and the lack of grasp of the relevant teaching information, it is easy to make improper decisions in the face of complex teaching situations. The integration of information, prediction and internal rational value pursuit of big data can realize the data guidance and scientific prediction of teaching design, the immediate decision-making and personality guidance of teaching interaction, the systematic evaluation and effective feedback of teaching evaluation. It is an effective means to realize the rationalization and scientization of teaching decision-making. Drawing lessons from the practical experience of western developed countries in using education big data to support educational and teaching decisions, and combining with the realistic situation of our country, this study puts forward the realization path of improving teaching decision-making based on education big data in our country, and suggests that we should integrate and optimize the educational data system, provide policy support and data quality standards, cultivate and improve teachers' data literacy, and bring data education into the teacher training system. Promote the improvement of teachers' ability and level of scientific decision-making in teaching.
【作者单位】：西南大学教育学部;
【基金】：中央高校专项基金重点项目“我国中小学校长领导力创新与发展研究”[SWU1209318] 重庆市研究生科研创新项目“数据驱动决策:基于大数据的教育决策模式研究”[CYS2015078]
【分类号】：G434

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