Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 0 |
| Since 2017 (last 10 years) | 1 |
| Since 2007 (last 20 years) | 1 |
Descriptor
| Bayesian Statistics | 2 |
| Data Analysis | 2 |
| Prediction | 2 |
| Task Analysis | 2 |
| Academic Achievement | 1 |
| Accuracy | 1 |
| Analysis of Covariance | 1 |
| Classification | 1 |
| College Students | 1 |
| Computer Science Education | 1 |
| Difficulty Level | 1 |
| More ▼ | |
Author
| Barnes, Tiffany | 1 |
| Castellan, N. John, Jr. | 1 |
| Chi, Min | 1 |
| Khoshnevisan, Farzaneh | 1 |
| Mao, Ye | 1 |
| Price, Thomas W. | 1 |
| Zhi, Rui | 1 |
Publication Type
| Reports - Research | 1 |
| Speeches/Meeting Papers | 1 |
Education Level
| Higher Education | 1 |
| Postsecondary Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Mao, Ye; Zhi, Rui; Khoshnevisan, Farzaneh; Price, Thomas W.; Barnes, Tiffany; Chi, Min – International Educational Data Mining Society, 2019
Early prediction of student difficulty during long-duration learning activities allows a tutoring system to intervene by providing needed support, such as a hint, or by alerting an instructor. To be effective, these predictions must come early and be highly accurate, but such predictions are difficult for open-ended programming problems. In this…
Descriptors: Difficulty Level, Learning Activities, Prediction, Programming
Peer reviewedCastellan, N. John, Jr. – Psychometrika, 1973
This paper discusses the Lens Model' approach to the analysis of subject performance in multiple-cue judgment tasks embedded in probabilistic environments. (Author/RK)
Descriptors: Analysis of Covariance, Bayesian Statistics, Data Analysis, Mathematical Models


