基于大数据融合的多源多层教师 专业发展分析模型构建--以广东省教师教育大数据智慧系统为例

Construction of A Multi-source and Multi-layer Teacher Professional Development Analysis Model Based on Big Data Fusion:Take Guangdong Teacher Education Big Data Smart System as An Example

不论是在国家层面的政策指引,还是教师专业发展工作的实际需要,都迫切要求开展利用大数据技术促进教师专业发展的研究,为教师专业发展提供精准、个性化的培训服务决策。经过对现有文献的研究分析可知,利用大数据技术构建教师专业发展分析模型的研究较少。研究采用大数据视角的需求评估研究方法,以大数据分析通用模型为雏形,在探析3层分析需求基础上,构建包含分析数据源接入、分析数据采集和融合治理中心、分析支持模块、教师专业发展分析模块、分析呈现模块的多源多层教师专业发展分析模型。以此为模型建设教师教育大数据分析平台,并探析该模型的分析呈现效果,表明研究方法可行、模型框架合理、呈现效果良好,能在一定程度上满足不同层次、不同维度的分析需要,为教师专业发展研究人员提供借鉴。

Both policy guidance at the national level and the practical needs of teacher professional development urgently require researches on using big data technology to promote teacher professional development,so as to provide accurate and personalized training service decisions for teacher professional development.Through the analysis of the existing literature,it is found that there are few researches on constructing the analytical models of teacher professional development using big data technology.The study adopts the needs assessment research method from a big data perspective,takes a general model of big data analysis as a prototype,and builds a multi-source,multi-layer teacher professional development analysis model containing access to analysis data sources,an analysis data collection and fusion governance center,an analysis support module,a teacher professional development analysis module,and an analysis presentation module,based on the exploration of 3 layers of analysis needs.The model is used to build a big data analysis platform for teacher education,and the analysis presentation effect of the model is explored.The results show that the research method is feasible,the model framework is reasonable,and the presentation effect is good,which can meet the analysis needs of different levels and dimensions to a certain extent and provide reference for researchers of teacher professional development.