Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 1 |
| Since 2017 (last 10 years) | 1 |
Descriptor
| Academic Achievement | 1 |
| Data Processing | 1 |
| Information Retrieval | 1 |
| Learning Strategies | 1 |
| MOOCs | 1 |
| Pattern Recognition | 1 |
| Prediction | 1 |
| Repetition | 1 |
| Student Behavior | 1 |
| Video Technology | 1 |
Source
| Interactive Learning… | 1 |
Author
| Doleck, Tenzin | 1 |
| Lemay, David John | 1 |
Publication Type
| Journal Articles | 1 |
| Reports - Research | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Lemay, David John; Doleck, Tenzin – Interactive Learning Environments, 2022
Predicting student performance in Massive Open Online Courses (MOOCs) is important to aid in retention efforts. Researchers have demonstrated that video watching features can be used to accurately predict student test performance on video quizzes employing neural networks to predict video test grades from viewing behavior including video searching…
Descriptors: MOOCs, Academic Achievement, Prediction, Student Behavior

Peer reviewed
Direct link
