Publication Date
| In 2026 | 0 |
| Since 2025 | 1 |
| Since 2022 (last 5 years) | 1 |
| Since 2017 (last 10 years) | 1 |
| Since 2007 (last 20 years) | 1 |
Descriptor
| Algorithms | 1 |
| Artificial Intelligence | 1 |
| Educational Technology | 1 |
| Item Response Theory | 1 |
| Models | 1 |
| Prediction | 1 |
| Problems | 1 |
| Student Reaction | 1 |
Source
| International Educational… | 1 |
Author
| Bogdan Yamkovenko | 1 |
| Charlie A. R. Hogg | 1 |
| Maya Miller-Vedam | 1 |
| Phillip Grimaldi | 1 |
| Walt Wells | 1 |
Publication Type
| Reports - Research | 1 |
| Speeches/Meeting Papers | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Download full textBogdan Yamkovenko; Charlie A. R. Hogg; Maya Miller-Vedam; Phillip Grimaldi; Walt Wells – International Educational Data Mining Society, 2025
Knowledge tracing (KT) models predict how students will perform on future interactions, given a sequence of prior responses. Modern approaches to KT leverage "deep learning" techniques to produce more accurate predictions, potentially making personalized learning paths more efficacious for learners. Many papers on the topic of KT focus…
Descriptors: Algorithms, Artificial Intelligence, Models, Prediction
