Name
Abstract | ||
|---|---|---|
We present the leading experiment that helps designing the Rhythm Network. The model diverges from typical time graphs and is not explicitly helpful for longitudinal studies. However, the objective is to design sequences of events, inserted into a graph depending on their place on a timeline. This experiment shows how the model can help engineering courses in an e-learning environment. Rhythm is fundamental in many contexts. It says a lot about the quality of teaching and learning. The feature might give important insight on how learners interact with knowledge. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1080/01969722.2020.1758469 | CYBERNETICS AND SYSTEMS |
Keywords | DocType | Volume |
Connectivism,education,recommendation learning analytics,rhythm network | Journal | 51.0 |
Issue | ISSN | Citations |
4 | 0196-9722 | 0 |
PageRank | References | Authors |
0.34 | 0 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Guillaume Blot | 1 | 0 | 0.34 |
| Francis Rousseaux | 2 | 18 | 16.78 |