Identifying Students' Persistence Profiles in Problem Solving Task
This study explores task persistence in the context of Learning by Teaching. Using features extracted from students' 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 persisten...
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| Main Authors: | , , |
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| Format: | text |
| Published: |
Archīum Ateneo
2018
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| Subjects: | |
| Online Access: | https://archium.ateneo.edu/discs-faculty-pubs/42 https://dl.acm.org/doi/10.1145/3213586.3225237 |
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| Institution: | Ateneo De Manila University |
| Summary: | This study explores task persistence in the context of Learning by Teaching. Using features extracted from students' 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. |
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