Detecting unexpected scores of individual students in an examination based on past scores and current daily efforts
Detecting unexpected scores of individual students in an examination based on past scores and current daily efforts
复制标题
根据过去的分数和当前的日常努力检测个别学生在考试中的意外分数
DOI：
10.1108/tqm-07-2022-0226
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发表时间：
2023
期刊：
影响因子：
--
通讯作者：
S.
中科院分区：
文献类型：
--
作者：
Alauddin;N.;Tanaka;S. and Yamada;S.
目的本文提出了一种基于个体学生过去成绩、当前日常努力和当前成绩趋势来检测意外考试成绩的模型。检测是在当前考试完成后立即进行的，这有助于在下学期日常评估开始之前立即采取行动，提高学生的能力。设计/方法/途径结合方差分析、主成分分析和多元回归分析来分析过去的考试和当前日常评估的分数。使用日本一所国际学校中学生的评估分数进行案例研究。调查结果根据过去的分数、当前的日常努力和当前分数的趋势来预测当前考试的分数。用于检测意外分数的控制下限是根据预测分数得出的。低于控制下限的实际分数被视为意外分数。本案例研究验证了数据组合使用在检测意外分数方面的有效性。 原创性/价值与之前利用属性和背景数据来预测学生分数的研究不同，本研究结合了过去的考试分数、当前相关科目的日常努力以及当前分数的趋势。
PurposeThis paper proposes a model for detecting unexpected examination scores based on past scores, current daily efforts and trend in the current score of individual students. The detection is performed soon after the current examination is completed, which helps take immediate action to improve the ability of students before the commencement of daily assessments during the next semester.Design/methodology/approachThe scores of past examinations and current daily assessments are analyzed using a combination of an ANOVA, a principal component analysis and a multiple regression analysis. A case study is conducted using the assessment scores of secondary-level students of an international school in Japan.FindingsThe score for the current examination is predicted based on past scores, current daily efforts and trend in the current score. A lower control limit for detecting unexpected scores is derived based on the predicted score. The actual score, which is below the lower control limit, is recognized as an unexpected score. This case study verifies the effectiveness of the combinatorial usage of data in detecting unexpected scores.Originality/valueUnlike previous studies that utilize attribute and background data to predict student scores, this study utilizes a combination of past examination scores, current daily efforts for related subjects and trend in the current score.