Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 2 |
| Since 2017 (last 10 years) | 2 |
| Since 2007 (last 20 years) | 2 |
Descriptor
| Artificial Intelligence | 2 |
| Models | 2 |
| Programming | 2 |
| Algorithms | 1 |
| Assignments | 1 |
| Classification | 1 |
| Coding | 1 |
| College Students | 1 |
| Computer Science Education | 1 |
| Data Analysis | 1 |
| Decision Making | 1 |
| More ▼ | |
Source
| International Educational… | 2 |
Author
| Barnes, Tiffany | 1 |
| Chi, Min | 1 |
| Min Chi | 1 |
| Price, Thomas | 1 |
| Schmucker, Robin | 1 |
| Shi, Yang | 1 |
| Thomas Price | 1 |
| Tiffany Barnes | 1 |
| Yang Shi | 1 |
Publication Type
| Reports - Research | 2 |
| Speeches/Meeting Papers | 2 |
Education Level
| Higher Education | 2 |
| Postsecondary Education | 2 |
Audience
Location
| Virginia | 2 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Download full textYang Shi; Tiffany Barnes; Min Chi; Thomas Price – International Educational Data Mining Society, 2024
Knowledge tracing (KT) models have been a commonly used tool for tracking students' knowledge status. Recent advances in deep knowledge tracing (DKT) have demonstrated increased performance for knowledge tracing tasks in many datasets. However, interpreting students' states on single knowledge components (KCs) from DKT models could be challenging…
Descriptors: Algorithms, Artificial Intelligence, Models, Programming
Shi, Yang; Schmucker, Robin; Chi, Min; Barnes, Tiffany; Price, Thomas – International Educational Data Mining Society, 2023
Knowledge components (KCs) have many applications. In computing education, knowing the demonstration of specific KCs has been challenging. This paper introduces an entirely data-driven approach for: (1) discovering KCs; and (2) demonstrating KCs, using students' actual code submissions. Our system is based on two expected properties of KCs: (1)…
Descriptors: Computer Science Education, Data Analysis, Programming, Coding
