Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 0 |
| Since 2017 (last 10 years) | 0 |
| Since 2007 (last 20 years) | 1 |
Descriptor
| Automation | 1 |
| Cluster Grouping | 1 |
| Computation | 1 |
| Data Analysis | 1 |
| Identification | 1 |
| Intelligent Tutoring Systems | 1 |
| Mathematics Instruction | 1 |
| Matrices | 1 |
| Profiles | 1 |
| Skills | 1 |
| Students | 1 |
| More ▼ | |
Source
| International Working Group… | 1 |
Publication Type
| Reports - Descriptive | 1 |
| Speeches/Meeting Papers | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Download full textNugent, Rebecca; Ayers, Elizabeth; Dean, Nema – International Working Group on Educational Data Mining, 2009
In educational research, a fundamental goal is identifying which skills students have mastered, which skills they have not, and which skills they are in the process of mastering. As the number of examinees, items, and skills increases, the estimation of even simple cognitive diagnosis models becomes difficult. We adopt a faster, simpler approach:…
Descriptors: Data Analysis, Students, Skills, Cluster Grouping
