教学反思内容自动评估模型研究  

Automatic Assessment Model for Content of Teaching Reflection

作　　者：邱欢堂[1] 何聚厚[1,2] 何秀青[1] 

机构地区：[1]陕西师范大学计算机科学学院,陕西西安710062 [2]陕西师范大学教师专业能力发展中心,陕西西安710062

出　　处：《计算机技术与发展》2012年第9期173-176,180,共5页Computer Technology and Development

基　　金：国家985优势学科"教师教育创新平台"项目(GJ9850104);中央高校基本科研业务费专项资金(GK201002028)

摘　　要：教学反思是教师专业能力发展的重要途径,对反思内容进行自动评估是网络环境下教学反思系统亟待解决的关键问题。对网络环境下提交的反思文本进行中文分词、停用词过滤等预处理,采用向量空间模型构建反思文本向量,基于余弦理论计算反思文本与语料库文本的相似度。根据最大相似度语料文本的等级及系统预设阈值,实现反思内容的自动评估。实验结果表明,自动评估结果和专家认定的评估结果相比,正确率达到90%以上,基本实现了反思内容的自动评估。Self-reflection is an effective way in teachers＂ professional development. How to evaluate the content of self-reflection automatically is a critical issue in the web-based software system. The content of self-reflection submitted under web environment is pre-processed such as Chinese word segmentation, stop words filtering and so on,build self-reflection text vector with vector space model, calcu- late the similarity between self-reflection text and corpus text based on cosine theory. According to the level of corpus text with maximum similarity and previous threshold of system, achieve the automatic evaluation of self-reflection content. The experiment shows that the correct rate of the automatic evaluation result is more than 90% compared with the expert evaluation result, implement the automatic asessment of self-reflection content well.

关 键 词：教学反思 自动评估 向量空间模型 文本相似度 

分 类 号：TP39[自动化与计算机技术—计算机应用技术]