汉语分级测试分数线划分研究

发布时间：2018-07-01 07:36

本文选题：汉语作为第二语言 + 分级测试　；参考：《语言文字应用》2012年03期

【摘要】：本文将教师对老生样组汉语学习表现的评价作为因变量,将新学期分级测试的分测验成绩作为自变量,建立多元回归模型。之后,将该模型应用于新学期入学的所有考生,确定考生的初始等级。最后,考察新生初始预测等级与教师评价等级的差异。结果表明,将多元回归方法与简化的以学生为中心的专家判定方法相结合,可以为下一步的口语分级测试提供考生的预测等级信息,有利于最终做出精确的分班决定。
[Abstract]:This paper takes the teacher's evaluation of the Chinese learning performance of the old students as the dependent variable and the score of the new term grading test as the independent variable and establishes a multivariate regression model. The model is then applied to all candidates enrolled in the new semester to determine the initial grade. Finally, the difference between initial prediction grade and teacher evaluation grade is investigated. The results show that combining the multivariate regression method with the simplified student-centered expert judgment method can provide the prediction level information for the next oral grading test, which is helpful to make the accurate class decision.
【作者单位】：中央民族大学国际教育学院;
【基金】：教育部人文社会科学研究项目基金资助的“对外汉语分级测试研究”课题的研究成果之一。项目批准号:09YJC740074
【分类号】：H195

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