Publication Date
| In 2025 | 0 |
| Since 2024 | 0 |
| Since 2021 (last 5 years) | 1 |
| Since 2016 (last 10 years) | 1 |
| Since 2006 (last 20 years) | 1 |
Descriptor
| Algorithms | 1 |
| Ambiguity (Semantics) | 1 |
| Cognitive Measurement | 1 |
| Electronic Learning | 1 |
| Individualized Instruction | 1 |
| Knowledge Level | 1 |
| Misconceptions | 1 |
| Performance | 1 |
| Prediction | 1 |
| Probability | 1 |
| Student Evaluation | 1 |
| More ▼ | |
Source
| IEEE Transactions on Learning… | 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
Direct linkMa, Hua; Huang, Zhuoxuan; Tang, Wensheng; Zhu, Haibin; Zhang, Hongyu; Li, Jingze – IEEE Transactions on Learning Technologies, 2023
To provide intelligent learning guidance for students in e-learning systems, it is necessary to accurately predict their performance in future exams by analyzing score data in past exams. However, existing research has not addressed the uncertain and dynamic features of students' cognitive status, whereas these features are essential for improving…
Descriptors: Prediction, Student Evaluation, Performance, Tests
