Publication Date
| In 2025 | 0 |
| Since 2024 | 0 |
| Since 2021 (last 5 years) | 0 |
| Since 2016 (last 10 years) | 0 |
| Since 2006 (last 20 years) | 1 |
Descriptor
| Cluster Grouping | 1 |
| Concept Formation | 1 |
| Data Analysis | 1 |
| Data Processing | 1 |
| Diagnostic Tests | 1 |
| Individual Differences | 1 |
| Measurement Techniques | 1 |
| Misconceptions | 1 |
| Multiple Choice Tests | 1 |
| Pretests Posttests | 1 |
| Schematic Studies | 1 |
| More ▼ | |
Source
| Journal of Educational Data… | 1 |
Author
| Hunt, Earl | 1 |
| Madhyastha, Tara | 1 |
Publication Type
| Journal Articles | 1 |
| Reports - Research | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Download full textMadhyastha, Tara; Hunt, Earl – Journal of Educational Data Mining, 2009
This paper introduces a method for mining multiple-choice assessment data for similarity of the concepts represented by the multiple choice responses. The resulting similarity matrix can be used to visualize the distance between concepts in a lower-dimensional space. This gives an instructor a visualization of the relative difficulty of concepts…
Descriptors: Diagnostic Tests, Multiple Choice Tests, Concept Formation, Schematic Studies
