Publication Date
| In 2025 | 0 |
| Since 2024 | 0 |
| Since 2021 (last 5 years) | 0 |
| Since 2016 (last 10 years) | 0 |
| Since 2006 (last 20 years) | 1 |
Descriptor
| Discussion Groups | 1 |
| Dropout Rate | 1 |
| Electronic Learning | 1 |
| Models | 1 |
| Online Courses | 1 |
| Predictive Validity | 1 |
| Probability | 1 |
| Qualitative Research | 1 |
| Social Structure | 1 |
| Statistical Analysis | 1 |
| Student Attrition | 1 |
| More ▼ | |
Source
| International Review of… | 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
Download full textYang, Diyi; Wen, Miaomiao; Kumar, Abhimanu; Xing, Eric P.; Rose, Carolyn Penstein – International Review of Research in Open and Distance Learning, 2014
In this paper, we describe a novel methodology, grounded in techniques from the field of machine learning, for modeling emerging social structure as it develops in threaded discussion forums, with an eye towards application in the threaded discussions of massive open online courses (MOOCs). This modeling approach integrates two simpler, well…
Descriptors: Online Courses, Electronic Learning, Social Structure, Discussion Groups
