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Download full textMunawarah; Thalhah, Siti Zuhaerah; Angriani, Andi Dian; Nur, Fitriani; Kusumayanti, Andi – Mathematics Teaching Research Journal, 2021
The increase in the need for critical and analytical thinking among students to boost their confidence in dealing with complex and difficult problems has led to the development of computational skills. Therefore, this study aims to develop an instrument test for computational thinking (CT) skills in the mathematics-based RME (Realistic Mathematics…
Descriptors: Test Construction, Mathematics Tests, Computation, Thinking Skills
Direct linkQing Guo; Huan Li; Sha Zhu – Journal of Educational Computing Research, 2024
Previous research has not adequately explored students' behavioral processes when addressing computational thinking (CT) problems of varying difficulty, limiting insights into students' detailed CT development characteristics. This study seeks to fill this gap by employing gamified CT items across multiple difficulty levels to calculate…
Descriptors: Computation, Thinking Skills, Student Behavior, Difficulty Level
Ilhan, Mustafa – International Journal of Assessment Tools in Education, 2019
This study investigated the effectiveness of statistical adjustments applied to rater bias in many-facet Rasch analysis. Some changes were first made in the dataset that did not include "rater × examinee" bias to cause to have "rater × examinee" bias. Later, bias adjustment was applied to rater bias included in the data file,…
Descriptors: Statistical Analysis, Item Response Theory, Evaluators, Bias
Michaelides, Michalis P.; Haertel, Edward H. – Applied Measurement in Education, 2014
The standard error of equating quantifies the variability in the estimation of an equating function. Because common items for deriving equated scores are treated as fixed, the only source of variability typically considered arises from the estimation of common-item parameters from responses of samples of examinees. Use of alternative, equally…
Descriptors: Equated Scores, Test Items, Sampling, Statistical Inference
Jung, Eunju; Liu, Kimy; Ketterlin-Geller, Leanne R.; Tindal, Gerald – Behavioral Research and Teaching, 2008
The purpose of this study was to develop general outcome measures (GOM) in mathematics so that teachers could focus their instruction on needed prerequisite skills. We describe in detail, the manner in which content-related evidence was established and then present a number of statistical analyses conducted to evaluate the technical adequacy of…
Descriptors: Item Analysis, Test Construction, Test Theory, Mathematics Tests
Liu, Kimy; Ketterlin-Geller, Leanne R.; Yovanoff, Paul; Tindal, Gerald – Behavioral Research and Teaching, 2008
BRT Math Screening Measures focus on students' mathematics performance in grade-level standards for students in grades 1-8. A total of 24 test forms are available with three test forms per grade corresponding to fall, winter, and spring testing periods. Each form contains computation problems and application problems. BRT Math Screening Measures…
Descriptors: Test Items, Test Format, Test Construction, Item Response Theory
Liu, Kimy; Sundstrom-Hebert, Krystal; Ketterlin-Geller, Leanne R.; Tindal, Gerald – Behavioral Research and Teaching, 2008
The purpose of this study was to document the instrument development of maze measures for grades 3-8. Each maze passage contained twelve omitted words that students filled in by choosing the best-fit word from among the provided options. In this technical report, we describe the process of creating, reviewing, and pilot testing the maze measures.…
Descriptors: Test Construction, Cloze Procedure, Multiple Choice Tests, Reading Tests
Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis
