Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 1 |
| Since 2017 (last 10 years) | 4 |
| Since 2007 (last 20 years) | 8 |
Descriptor
| Foreign Countries | 9 |
| Mathematics Achievement | 9 |
| Matrices | 9 |
| Achievement Tests | 5 |
| International Assessment | 5 |
| Mathematics Tests | 5 |
| Elementary Secondary Education | 4 |
| Grade 8 | 4 |
| Item Response Theory | 4 |
| Models | 4 |
| Classification | 3 |
| More ▼ | |
Source
Author
| Bazargan, Abbas | 1 |
| Binti Ngah, Nor Azilah | 1 |
| Bishop, Alan | 1 |
| Cao, Zhongjun | 1 |
| Chen, Changsheng | 1 |
| Chong, Toh Seong | 1 |
| Delafontaine, Jolien | 1 |
| Evran, Derya | 1 |
| Forgasz, Helen | 1 |
| Ghazi-Tabatabaei, Mahmood | 1 |
| Hein, Serge F. | 1 |
| More ▼ | |
Publication Type
| Reports - Research | 8 |
| Journal Articles | 7 |
| Collected Works - Proceedings | 1 |
| Speeches/Meeting Papers | 1 |
Education Level
| Elementary Education | 6 |
| Elementary Secondary Education | 6 |
| Secondary Education | 6 |
| Junior High Schools | 5 |
| Middle Schools | 5 |
| Grade 8 | 4 |
| Intermediate Grades | 2 |
| Grade 4 | 1 |
| Grade 5 | 1 |
| Grade 6 | 1 |
| Grade 7 | 1 |
| More ▼ | |
Audience
Laws, Policies, & Programs
Assessments and Surveys
| Trends in International… | 6 |
| Program for International… | 1 |
What Works Clearinghouse Rating
Peer reviewed
Direct linkTerzi, Ragip; Sen, Sedat – SAGE Open, 2019
Large-scale assessments are generally designed for summative purposes to compare achievement among participating countries. However, these nondiagnostic assessments have also been adapted in the context of cognitive diagnostic assessment for diagnostic purposes. Following the large amount of investments in these assessments, it would be…
Descriptors: Achievement Tests, Elementary Secondary Education, Foreign Countries, International Assessment
Delafontaine, Jolien; Chen, Changsheng; Park, Jung Yeon; Van den Noortgate, Wim – Large-scale Assessments in Education, 2022
In cognitive diagnosis assessment (CDA), the impact of misspecified item-attribute relations (or "Q-matrix") designed by subject-matter experts has been a great challenge to real-world applications. This study examined parameter estimation of the CDA with the expert-designed Q-matrix and two refined Q-matrices for international…
Descriptors: Q Methodology, Matrices, Cognitive Measurement, Diagnostic Tests
Download full textEvran, Derya – International Journal of Modern Education Studies, 2019
Detection of students' ability levels is one of the common aims in educational studies. Cognitive Diagnosis Modeling approach has been used recently for the purpose of ability level detection by defined Q-matrices. To evaluate students' strengths and weaknesses, determine their mastery skills, and design instructions and interventions in learning…
Descriptors: Cognitive Measurement, Models, Foreign Countries, Achievement Tests
Kabiri, Masoud; Ghazi-Tabatabaei, Mahmood; Bazargan, Abbas; Shokoohi-Yekta, Mohsen; Kharrazi, Kamal – Applied Measurement in Education, 2017
Numerous diagnostic studies have been conducted on large-scale assessments to illustrate the students' mastery profile in the areas of math and reading; however, for science a limited number of investigations are reported. This study investigated Iranian eighth graders' competency mastery of science and examined the utility of the General…
Descriptors: Elementary Secondary Education, Achievement Tests, International Assessment, Foreign Countries
Wetzel, Eunike; Xu, Xueli; von Davier, Matthias – Educational and Psychological Measurement, 2015
In large-scale educational surveys, a latent regression model is used to compensate for the shortage of cognitive information. Conventionally, the covariates in the latent regression model are principal components extracted from background data. This operational method has several important disadvantages, such as the handling of missing data and…
Descriptors: Surveys, Regression (Statistics), Models, Research Methodology
Skaggs, Gary; Wilkins, Jesse L. M.; Hein, Serge F. – International Journal of Testing, 2016
The purpose of this study was to explore the degree of grain size of the attributes and the sample sizes that can support accurate parameter recovery with the General Diagnostic Model (GDM) for a large-scale international assessment. In this resampling study, bootstrap samples were obtained from the 2003 Grade 8 TIMSS in Mathematics at varying…
Descriptors: Achievement Tests, Foreign Countries, Elementary Secondary Education, Science Achievement
Cao, Zhongjun; Forgasz, Helen; Bishop, Alan – International Group for the Psychology of Mathematics Education, 2005
This paper explores levels of perceived parental influence on mathematics learning among over 700 students in China and Australia. Students in China had stronger perceived parental influences than students in Australia, and while students in China, Chinese speaking students in Australia, and other language speaking students in Australia…
Descriptors: Foreign Countries, Mathematics Education, Parent Influence, Mathematics Achievement
Hoon, Teoh Sian; Chong, Toh Seong; Binti Ngah, Nor Azilah – Educational Technology & Society, 2010
The main aim of this study is to integrate cooperative learning strategies, mastery learning and interactive multimedia to improve students' performance in Mathematics, specifically in the topic of matrices. It involved a quasi-experimental design with gain scores and time-on-task as dependent variables. The independent variables were three…
Descriptors: Educational Strategies, Mastery Learning, Cooperative Learning, Academic Ability
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection
