Name
Abstract | ||
|---|---|---|
This study explores task persistence in the context of Learning by Teaching. Using features extracted from studentsu0027 interaction logs, a centroid based clustering algorithm derived two well-separated groups describing two types of students, Cluster 1 which is characterized by the more persistent students and Cluster 0 which is characterized by the less persistent students. The more persistent students demonstrated effective help-seeking behavior, and greater level of task engagement and resourcefulness compared to the less persistent students. |
Year | Venue | Field |
|---|---|---|
2018 | UMAP (Adjunct Publication) | Intelligent tutoring system,Computer science,Mathematics education,Cluster analysis,Centroid,Learning by teaching |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
6 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Cristina E. Dumdumaya | 1 | 0 | 0.34 |
| Michelle P. Banawan | 2 | 0 | 0.34 |
| Ma. Mercedes T. Rodrigo | 3 | 450 | 37.84 |