Name
Abstract | ||
|---|---|---|
Online learning environments (OLEs) have seen a continuous increase over the past decade and a sudden surge in the last year, due to the coronavirus outbreak. The widespread use of OLEs has led to an increasing number of enrolments, even from students who had previously left education systems, but it also resulted in a much higher dropout rate than in traditional classrooms. This is a crucial problem since online courses have rapidly expanded from individual MOOCs to entire study programmes, also due to the pandemic. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1016/j.future.2021.07.002 | Future Generation Computer Systems |
Keywords | DocType | Volume |
Autoencoding,Deep learning,Trajectory prediction,Online education,Online learning environments,Student dropout prediction | Journal | 125 |
ISSN | Citations | PageRank |
0167-739X | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bardh Prenkaj | 1 | 2 | 2.06 |
| Damiano Distante | 2 | 295 | 30.04 |
| stefano faralli | 3 | 301 | 26.70 |
| paola velardi | 4 | 1553 | 163.66 |