Name
Abstract | ||
|---|---|---|
Student video-watching behavior and quiz performance are studied in two Massive Open Online Courses (MOOCs). In doing so, two frameworks are presented by which video-watching clickstreams can be represented: one based on the sequence of events created, and another on the sequence of positions visited. With the event-based framework, recurring subsequences of student behavior are extracted, which c... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/TSP.2016.2546228 | IEEE Transactions on Signal Processing |
Keywords | Field | DocType |
Signal processing algorithms,Predictive models,Prediction algorithms,Data mining,Electronic mail,Discussion forums,Data models | Training set,Data modeling,Early detection,Mathematical optimization,Computer science,Prediction algorithms,Artificial intelligence,Machine learning,Signal processing algorithms | Journal |
Volume | Issue | ISSN |
64 | 14 | 1053-587X |
Citations | PageRank | References |
9 | 0.59 | 19 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Christopher G. Brinton | 1 | 118 | 15.23 |
| Swapna | 2 | 45 | 4.94 |
| Mung Chiang | 3 | 7303 | 486.32 |
| H. V. Poor | 4 | 25411 | 1951.66 |