摘要
基于双向细目表的学业测评能够精确诊断学生个体在知识与技能方面的优势与不足,采用聚类数据技术导出的数据,不仅可用于学生学业质量分析、命题质量的反馈与评价,而且可用于教师的教学评价,为不同学科教师的教学绩效比较和学生学业进步程度判断提供有说服力的"证据"。
Academic evaluation on account of two-way checklists can be enabled to make accurate diagnosis of advantages and disadvantages of knowledge and skills of the student individual, not only can the exported data using data clustering technology be applied to the students＇ academic quality analysis as well as thesis quality feedback and evaluation, but also they can be used for teachers＇ teaching evaluation, for the purpose of providing persuasive ＂ evidence＂ for teachers＇ teaching performance comparison of different subjects and for degree of judgment on students＇ academic progress.
出处
《当代教育论坛》
2016年第4期71-76,共6页
forum on contemporary education
关键词
双向细目表
学业测评
聚类数据
正态化标准分
two-way checklists, academic evaluation,clustering of data,normal standard score
