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统计类课程开放性考核方式探索研究
Exploration and Research on Open Assessment Methods for Statistical Courses

DOI: 10.12677/ces.2024.127490, PP. 462-467

Keywords: 概率论与数理统计,多元统计分析,开放性考核,开卷考试
Probability and Statistics
, Multivariate Statistical Analysis, Open Assessment, Open Book Examination

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Abstract:

统计类课程的开放性考核方式得到实验探索研究。在概率论与数理统计、多元统计分析课程中,进行开放式题目设计、开放性考核,通过实验班与历史班级比对、答案分析、成绩分析,验证开放性考核的效果。发现适当难度的开放性考核可以激发学生的创新意识;开放性过高,平均成绩反而会越低;开卷考试的成绩波动比闭卷考试的成绩波动要小。适合于统计类课程开卷考试的题型和知识点总结。
The open assessment methods for statistical courses have been experimentally explored and studied. In the courses of probability theory and mathematical statistics, and multivariate statistical analysis, open question design and open assessment are carried out to verify the effectiveness of open assessment through comparison between experimental and historical classes, answer analysis, and score analysis. It’s found that open assessment with appropriate difficulty levels can stimulate students’ innovation awareness; if the openness is too high, the average score will actually be lower; the fluctuation of grades in open book exams is smaller than that in closed book exams. The question types and knowledge points suitable for the open book exam of statistical courses have been summarized.

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