利用产生困难的项目特征开发学习进度监测测试:以小学基本算术运算为例

IF 0.6 Q3 EDUCATION & EDUCATIONAL RESEARCH Journal for Educational Research Online-JERO Pub Date : 2022-06-22 DOI:10.31244/jero.2022.01.06
S. Anderson, D. Sommerhoff, Michael Schurig, S. Ufer, Markus Gebhardt
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引用次数: 4

摘要

本研究调查了在100以下数字的基本算术运算背景下生成项目特征的难度,以说明它们在学习进度监控项目生成系统中的使用。项目生成系统的基础是基于三个基于理论的DGIC:算术运算、跨越10的必要性和第二项位数。使用Rasch模型(RM)和线性逻辑检验模型(LLTM)来估计和预测DGIC。结果表明,在LLTM方法下,所有三个假设的DGIC都是项目难度的重要预测因素。此外,DGIC以20%的比例解释了RM项目参数方差的一个坚实部分。LLTM方法下DGIC的识别和验证为如何应对未来数学LPM测试发展中的挑战提供了重要的见解。
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Developing learning progress monitoring tests using difficulty-generating item characteristics: An example for basic arithmetic operations in primary schools
This study investigates difficulty-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.
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来源期刊
Journal for Educational Research Online-JERO
Journal for Educational Research Online-JERO EDUCATION & EDUCATIONAL RESEARCH-
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期刊最新文献
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