Publication Date
| In 2025 | 0 |
| Since 2024 | 3 |
| Since 2021 (last 5 years) | 3 |
| Since 2016 (last 10 years) | 4 |
| Since 2006 (last 20 years) | 6 |
Descriptor
| Error Patterns | 6 |
| Simulation | 6 |
| Middle School Students | 5 |
| Accuracy | 4 |
| Data Analysis | 4 |
| Item Response Theory | 4 |
| Models | 4 |
| Hypothesis Testing | 3 |
| Maximum Likelihood Statistics | 3 |
| Academic Achievement | 2 |
| Algebra | 2 |
| More ▼ | |
Source
| Grantee Submission | 3 |
| International Educational… | 1 |
| Journal of Educational Data… | 1 |
| Journal of Educational… | 1 |
Author
| Amanda Goodwin | 3 |
| Matthew Naveiras | 3 |
| Sun-Joo Cho | 3 |
| Paul De Boeck | 2 |
| Braithwaite, David W. | 1 |
| Chung, Gregory K. W. K. | 1 |
| Jorge Salas | 1 |
| Kerr, Deirdre | 1 |
| Leib, Elena R. | 1 |
| Mavrikis, Manolis, Ed. | 1 |
| McLaren, Bruce M., Ed. | 1 |
| More ▼ | |
Publication Type
| Reports - Research | 5 |
| Journal Articles | 2 |
| Collected Works - Proceedings | 1 |
Education Level
| Junior High Schools | 6 |
| Middle Schools | 6 |
| Secondary Education | 6 |
| Elementary Education | 3 |
| Grade 6 | 2 |
| Intermediate Grades | 2 |
| Grade 7 | 1 |
| Grade 8 | 1 |
| Higher Education | 1 |
| Postsecondary Education | 1 |
Audience
Laws, Policies, & Programs
Assessments and Surveys
| Program for International… | 1 |
What Works Clearinghouse Rating
Peer reviewed
Direct linkSun-Joo Cho; Amanda Goodwin; Matthew Naveiras; Paul De Boeck – Grantee Submission, 2024
Explanatory item response models (EIRMs) have been applied to investigate the effects of person covariates, item covariates, and their interactions in the fields of reading education and psycholinguistics. In practice, it is often assumed that the relationships between the covariates and the logit transformation of item response probability are…
Descriptors: Item Response Theory, Test Items, Models, Maximum Likelihood Statistics
Sun-Joo Cho; Amanda Goodwin; Matthew Naveiras; Paul De Boeck – Journal of Educational Measurement, 2024
Explanatory item response models (EIRMs) have been applied to investigate the effects of person covariates, item covariates, and their interactions in the fields of reading education and psycholinguistics. In practice, it is often assumed that the relationships between the covariates and the logit transformation of item response probability are…
Descriptors: Item Response Theory, Test Items, Models, Maximum Likelihood Statistics
Sun-Joo Cho; Amanda Goodwin; Matthew Naveiras; Jorge Salas – Grantee Submission, 2024
Despite the growing interest in incorporating response time data into item response models, there has been a lack of research investigating how the effect of speed on the probability of a correct response varies across different groups (e.g., experimental conditions) for various items (i.e., differential response time item analysis). Furthermore,…
Descriptors: Item Response Theory, Reaction Time, Models, Accuracy
Download full textBraithwaite, David W.; Leib, Elena R.; Siegler, Robert S.; McMullen, Jake – Grantee Submission, 2019
Understanding fractions is critical to mathematical development, yet many children struggle with fractions even after years of instruction. Fraction arithmetic is particularly challenging. The present study employed a computational model of fraction arithmetic learning, FARRA (Fraction Arithmetic Reflects Rules and Associations; Braithwaite, Pyke,…
Descriptors: Individual Differences, Fractions, Arithmetic, Mathematics Instruction
Kerr, Deirdre; Chung, Gregory K. W. K. – Journal of Educational Data Mining, 2012
The assessment cycle of "evidence-centered design" (ECD) provides a framework for treating an educational video game or simulation as an assessment. One of the main steps in the assessment cycle of ECD is the identification of the key features of student performance. While this process is relatively simple for multiple choice tests, when…
Descriptors: Evidence Based Practice, Design, Academic Achievement, Educational Games
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
