Publication Date
In 2025 | 1 |
Since 2024 | 1 |
Since 2021 (last 5 years) | 3 |
Since 2016 (last 10 years) | 8 |
Since 2006 (last 20 years) | 9 |
Descriptor
Error Patterns | 10 |
Foreign Countries | 10 |
Item Response Theory | 10 |
College Students | 5 |
Computer Software | 4 |
Data Analysis | 4 |
Difficulty Level | 4 |
Knowledge Level | 4 |
Mathematics Instruction | 4 |
Misconceptions | 4 |
Models | 4 |
More ▼ |
Source
International Educational… | 4 |
Large-scale Assessments in… | 2 |
Applied Psychological… | 1 |
Journal of Education and… | 1 |
Journal of Teacher Education | 1 |
Language Learning Journal | 1 |
Author
Publication Type
Reports - Research | 7 |
Journal Articles | 6 |
Collected Works - Proceedings | 3 |
Speeches/Meeting Papers | 1 |
Tests/Questionnaires | 1 |
Education Level
Higher Education | 7 |
Postsecondary Education | 7 |
Elementary Education | 3 |
Secondary Education | 3 |
Junior High Schools | 2 |
Middle Schools | 2 |
Adult Education | 1 |
Elementary Secondary Education | 1 |
Grade 6 | 1 |
Grade 8 | 1 |
High Schools | 1 |
More ▼ |
Audience
Laws, Policies, & Programs
Assessments and Surveys
Program for International… | 2 |
National Assessment of… | 1 |
Trends in International… | 1 |
What Works Clearinghouse Rating
Mimi Ismail; Ahmed Al - Badri; Said Al - Senaidi – Journal of Education and e-Learning Research, 2025
This study aimed to reveal the differences in individuals' abilities, their standard errors, and the psychometric properties of the test according to the two methods of applying the test (electronic and paper). The descriptive approach was used to achieve the study's objectives. The study sample consisted of 74 male and female students at the…
Descriptors: Achievement Tests, Computer Assisted Testing, Psychometrics, Item Response Theory
Robitzsch, Alexander; Lüdtke, Oliver – Large-scale Assessments in Education, 2023
One major aim of international large-scale assessments (ILSA) like PISA is to monitor changes in student performance over time. To accomplish this task, a set of common items (i.e., link items) is repeatedly administered in each assessment. Linking methods based on item response theory (IRT) models are used to align the results from the different…
Descriptors: Educational Trends, Trend Analysis, International Assessment, Achievement Tests
PaaBen, Benjamin; Bertsch, Andreas; Langer-Fischer, Katharina; Rüdian, Sylvio; Wang, Xia; Sinha, Rupali; Kuzilek, Jakub; Britsch, Stefan; Pinkwart, Niels – International Educational Data Mining Society, 2021
Many modern anatomy curricula teach histology using virtual microscopes, where students inspect tissue slices in a computer program (e.g. a web browser). However, the educational data mining (EDM) potential of these virtual microscopes remains under-utilized. In this paper, we use EDM techniques to investigate three research questions on a virtual…
Descriptors: Anatomy, Science Instruction, Computer Simulation, Computer Software
van Rijn, Peter W.; Sinharay, Sandip; Haberman, Shelby J.; Johnson, Matthew S. – Large-scale Assessments in Education, 2016
Latent regression models are used for score-reporting purposes in large-scale educational survey assessments such as the National Assessment of Educational Progress (NAEP) and Trends in International Mathematics and Science Study (TIMSS). One component of these models is based on item response theory. While there exists some research on assessment…
Descriptors: Goodness of Fit, Item Response Theory, Regression (Statistics), National Competency Tests
Charalambous, Charalambos Y. – Journal of Teacher Education, 2016
Central in the frameworks proposed to capture the knowledge needed for teaching mathematics is the assumption that teachers need more than pure subject-matter knowledge. Validation studies exploring this assumption by recruiting contrasting populations are relatively scarce. Drawing on a sample of 644 Greek-Cypriots preservice and inservice…
Descriptors: Knowledge Base for Teaching, Foreign Countries, Knowledge Level, Preservice Teachers
Inoue, Chihiro – Language Learning Journal, 2016
The constructs of complexity, accuracy and fluency (CAF) have been used extensively to investigate learner performance on second language tasks. However, a serious concern is that the variables used to measure these constructs are sometimes used conventionally without any empirical justification. It is crucial for researchers to understand how…
Descriptors: Comparative Analysis, Syntax, Accuracy, Task Analysis
Boyer, Kristy Elizabeth, Ed.; Yudelson, Michael, Ed. – International Educational Data Mining Society, 2018
The 11th International Conference on Educational Data Mining (EDM 2018) is held under the auspices of the International Educational Data Mining Society at the Templeton Landing in Buffalo, New York. This year's EDM conference was highly competitive, with 145 long and short paper submissions. Of these, 23 were accepted as full papers and 37…
Descriptors: Data Collection, Data Analysis, Computer Science Education, Program Proposals
Wang, Wen-Chung; Su, Ya-Hui – Applied Psychological Measurement, 2004
Eight independent variables (differential item functioning [DIF] detection method, purification procedure, item response model, mean latent trait difference between groups, test length, DIF pattern, magnitude of DIF, and percentage of DIF items) were manipulated, and two dependent variables (Type I error and power) were assessed through…
Descriptors: Test Length, Test Bias, Simulation, Item Response Theory
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
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