自学考试“脏数据”问题研究和应对策略  

Research on the Problem of“Dirty Data”in Self-taught Examination and Its Countermeasures

作　　者：林华[1] Lin Hua(Tianjin Municipal Educational Admission and Examinations Authority,Tianjin,300387)

机构地区：[1]天津市教育招生考试院,天津300387

出　　处：《考试研究》2023年第1期103-108,共6页Examinations Research

摘　　要：从自学考试“脏数据”的类型入手,列举常见的“脏数据”实例,分析其产生原因与来源,尝试从技术层面和政策层面提出数据清洗策略,以提高数据质量,实现对数据的精准分析,为政策制定提供有力保障。This paper starts with the type of“dirty data”in self-taught examination,lists common examples of“dirty data”,analyzes its causes and sources,and tries to propose data cleaning strategies from the technical and policy levels to improve data quality and realize data cleaning,and accurate analysis,so as to provide a strong guarantee for decision-making.

关 键 词：自学考试 脏数据 清洗 

分 类 号：G424.74[文化科学—课程与教学论]