Publication Date
| In 2025 | 0 |
| Since 2024 | 1 |
| Since 2021 (last 5 years) | 1 |
| Since 2016 (last 10 years) | 3 |
| Since 2006 (last 20 years) | 3 |
Descriptor
| Error Patterns | 3 |
| Semantics | 3 |
| Recall (Psychology) | 2 |
| Accuracy | 1 |
| Classification | 1 |
| Coding | 1 |
| Computation | 1 |
| Computational Linguistics | 1 |
| Computer Software | 1 |
| Cues | 1 |
| Data Analysis | 1 |
| More ▼ | |
Source
| Grantee Submission | 3 |
Author
Publication Type
| Reports - Research | 2 |
| Journal Articles | 1 |
| Reports - Descriptive | 1 |
| Speeches/Meeting Papers | 1 |
Education Level
| Higher Education | 1 |
| Junior High Schools | 1 |
| Middle Schools | 1 |
| Postsecondary Education | 1 |
| Secondary Education | 1 |
Audience
Location
| New York (New York) | 1 |
Laws, Policies, & Programs
Assessments and Surveys
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
Download full textMetcalfe, Janet; Huelser, Barbie J. – Grantee Submission, 2020
Many recent studies have shown that memory for correct answers is enhanced when an error is committed and then corrected, as compared to when the correct answer is provided without intervening error commission. The fact that the kind of errors that produced such a benefit, in past research, were those that were semantically related to the correct…
Descriptors: Recall (Psychology), Memory, Learning Processes, Error Patterns
Cai, Zhiqiang; Siebert-Evenstone, Amanda; Eagan, Brendan; Shaffer, David Williamson; Hu, Xiangen; Graesser, Arthur C. – Grantee Submission, 2019
Coding is a process of assigning meaning to a given piece of evidence. Evidence may be found in a variety of data types, including documents, research interviews, posts from social media, conversations from learning platforms, or any source of data that may provide insights for the questions under qualitative study. In this study, we focus on text…
Descriptors: Semantics, Computational Linguistics, Evidence, Coding
