大数据赋能循证课例研究中的知识治理

Knowledge Governance in Evidence-based Lesson Study Empowered by Big Data

为了解决课例研究中知识生产能力不足、教师改变没有抓手且缺乏知识创新等问题,文章通过引入大数据赋能的知识治理方法,采用课堂观察方法和行动研究方法对课例研究组织进行了层级治理和关系治理,变革了课例研究组织中的组织结构,设计了大数据赋能的知识治理协调机制,并采用内容分析法对课例研究活动中的录音和文本等过程性资料进行了系统分析,最后得出研究结论:知识治理促进了组织知识生产方式的变革,带动了组织知识结构的优化,促使教师的角色发生了根本性改变,助推了数据赋能的教师循证改变等。同时,研究也发现知识治理中协作机制的作用尚未得到充分发挥,反映出当前循证课例研究组织中大学研究者与中小学教师的持续性对话还比较薄弱,有待进一步加强与改进。

In order to solve the problems that need to be optimized and improved,such as insufficient knowledge production capacity,lack of grippers for teachers'change and lack of knowledge innovation in lesson study,this paper introduces the knowledge governance method empowered by big data,uses classroom observation method and action research method to conduct hierarchical governance and relationship governance on the organizational structure of lesson study,change the organizational structure in lesson study organization,and designs the coordination mechanism of knowledge governance empowered by big data.Moreover,the content analysis method is used to systematically analyze the process data such as recordings and texts in lesson study activities.Finally,the research results indicate that knowledge governance promotes the change of organizational knowledge production mode,drives the optimization of organizational knowledge structure,promotes the fundamental change of teachers'role,and boosts the evidence-based change of teachers with data empowerment.At the same time,the research also finds that the role of the collaborative mechanism in knowledge governance has not been fully played,which reflects that the continuous dialogue between university researchers and primary and secondary school teachers in current evidence-based lesson study organization is still relatively weak and needs to be further strengthened and improved.