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
| Accuracy | 1 |
| College Students | 1 |
| Comparative Analysis | 1 |
| Computer Software | 1 |
| Course Content | 1 |
| Grade 7 | 1 |
| Guidelines | 1 |
| Intelligent Tutoring Systems | 1 |
| Learning Processes | 1 |
| Mathematics Teachers | 1 |
| Measurement Techniques | 1 |
| More ▼ | |
Source
| International Educational… | 1 |
Author
| Heffernan, Neil | 1 |
| Prihar, Ethan | 1 |
Publication Type
| Reports - Research | 1 |
| Speeches/Meeting Papers | 1 |
Education Level
| Elementary Education | 1 |
| Grade 7 | 1 |
| Higher Education | 1 |
| Junior High Schools | 1 |
| Middle Schools | 1 |
| Postsecondary Education | 1 |
| Secondary Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Download full textPrihar, Ethan; Heffernan, Neil – International Educational Data Mining Society, 2021
Similar content has tremendous utility in classroom and online learning environments. For example, similar content can be used to combat cheating, track students' learning over time, and model students' latent knowledge. These different use cases for similar content all rely on different notions of similarity, which make it difficult to determine…
Descriptors: Computer Software, Middle School Teachers, Mathematics Teachers, College Students
