我国语文教学表现性评价的热点研究——基于知识图谱可视化分析
A Hotspot Study on Performance Evaluation of Chinese Language Teaching in China—Visualization Analysis Based on Knowledge Graph

为了准确了解我国语文教学中表现性评价研究热点，采用关键词共词分析法，运用Bicomb2.0及SPSS26.0软件，以中国知网为资源平台，对国内的440篇文献进行可视化分析。研究结果发现：我国语文教学表现性评价已经发展起来了，但是在教师表现性评价能力方面有所欠缺、核心素养和深度学习融合有待发展、表现性评价的评价标准和准则不够规范等一系列问题。
In order to accurately understand the research hotspots of performance evaluation in Chinese language teaching in China, the keyword co-occurrence analysis method was adopted, and Bicomb2.0 and SPSS26.0 software were used. China National Knowledge Infrastructure (CNKI) was used as the resource platform to visually analyze 440 domestic literature. The research results have found that performance evaluation in Chinese language teaching has developed in China, but there is a lack of teacher performance evaluation ability, the integration of core competencies and deep learning needs to be developed, and the evaluation standards and guidelines for performance evaluation are not standardized enough.