Developing Learning Progress Monitoring Tests Using Difficulty-Generating Item Characteristics: An Example for Basic Arithmetic Operations in Primary Schools

被引:5
作者
Anderson, Sven [1 ]
Sommerhoff, Daniel [2 ]
Schurig, Michael [1 ]
Ufer, Stefan [3 ]
Gebhardt, Markus [4 ]
机构
[1] TU Dortmund Univ, Fac Rehabil Sci, Res Inclus Educ, Emil Figge Str 50, D-44227 Dortmund, Germany
[2] IPN Leibniz Inst Sci & Math Educ, Dept Math Educ, D-24098 Kiel, Germany
[3] Ludwig Maximilians Univ Munchen, Dept Math, Fac Math Comp Sci & Stat, Theresienstr 39, D-80333 Munich, Germany
[4] Univ Regensburg, Fac Human Sci, Learning Disabil Pedag Including Inclus Pedag, Sedanstr 1, D-93055 Regensburg, Germany
来源
JOURNAL FOR EDUCATIONAL RESEARCH ONLINE-JERO | 2022年 / 14卷 / 01期
关键词
learning progress monitoring (LPM); Rasch model (RM); linear logistic test model(LLTM); item-generating rules; elementary arithmetic; CURRICULUM-BASED MEASUREMENT; MATHEMATICS; TEACHERS; ACHIEVEMENT; STRATEGIES; STUDENTS;
D O I
10.31244/jero.2022.01.06
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
This study investigates diffi culty-generating item characteristics (DGICs) in the context of basic arithmetic operations for numbers up to 100 to illustrate their use in item-generating systems for learning progress monitoring (LPM). The fundament of the item-generating system is based on three theory-based DGICs: arithmetic operation, the necessity of crossing 10, and the number of second-term digits. The Rasch model (RM) and the linear logistic test model (LLTM) were used to estimate and predict the DGICs. The results indicate that under the LLTM approach all of the three hypothesized DGICs were significant predictors of item difficulty. Furthermore, the DGICs explain with 20% a solid part of the variance of the RM's item parameters. The identification and verification of the DGICs under the LLTM approach provide important insights into how to address the challenges in the development of future LPM tests in mathematics.
引用
收藏
页码:122 / 146
页数:25
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