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
| Accuracy | 1 |
| Algorithms | 1 |
| Artificial Intelligence | 1 |
| Assignments | 1 |
| Bayesian Statistics | 1 |
| Electronic Learning | 1 |
| Learning Analytics | 1 |
| Learning Management Systems | 1 |
| Performance | 1 |
| Prediction | 1 |
| Time Management | 1 |
| More ▼ | |
Source
| IEEE Transactions on Learning… | 1 |
Author
| Bergamin, Per | 1 |
| Comsa, Ioan-Sorin | 1 |
| Hlosta, Martin | 1 |
| Imhof, Christof | 1 |
| Moser, Ivan | 1 |
| Parsaeifard, Behnam | 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 linkImhof, Christof; Comsa, Ioan-Sorin; Hlosta, Martin; Parsaeifard, Behnam; Moser, Ivan; Bergamin, Per – IEEE Transactions on Learning Technologies, 2023
Procrastination, the irrational delay of tasks, is a common occurrence in online learning. Potential negative consequences include a higher risk of drop-outs, increased stress, and reduced mood. Due to the rise of learning management systems (LMS) and learning analytics (LA), indicators of such behavior can be detected, enabling predictions of…
Descriptors: Prediction, Time Management, Electronic Learning, Artificial Intelligence
