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
| Algorithms | 2 |
| Student Evaluation | 2 |
| Teaching Methods | 2 |
| Artificial Intelligence | 1 |
| Attribution Theory | 1 |
| Correlation | 1 |
| Curriculum | 1 |
| Educational Assessment | 1 |
| Educational Innovation | 1 |
| Educational Practices | 1 |
| Evaluation Methods | 1 |
| More ▼ | |
Publication Type
| Dissertations/Theses -… | 1 |
| Journal Articles | 1 |
| Reports - Evaluative | 1 |
Education Level
Audience
Location
| California | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Jia Zhu; Xiaodong Ma; Changqin Huang – IEEE Transactions on Learning Technologies, 2024
Knowledge tracing (KT) for evaluating students' knowledge is an essential task in personalized education. More and more researchers have devoted themselves to solving KT tasks, e.g., deep knowledge tracing (DKT), which can capture more sophisticated representations of student knowledge. Nonetheless, these techniques ignore the reconstruction of…
Descriptors: Teaching Methods, Knowledge Level, Algorithms, Attribution Theory
Christopher Garrido Lechuga – ProQuest LLC, 2024
Adaptive tutoring systems often model student knowledge in ways that break away from a "one size fits all" approach to learning. Nonetheless, the strengths of these systems can often be limited, as knowledge representations are not easily interpreted by teachers, which make these systems difficult to integrate into pedagogical practices.…
Descriptors: Artificial Intelligence, Intelligent Tutoring Systems, Mathematics Skills, Educational Innovation

Peer reviewed
Direct link
