Identifying Students' Persistence Profiles in Problem Solving Task
Document Type
Conference Proceeding
Publication Date
7-2018
Abstract
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.
Recommended Citation
Dumdumaya, Cristina E.; Banawan, Michelle P.; and Rodrigo, Ma. Mercedes T., (2018). Identifying Students' Persistence Profiles in Problem Solving Task. Archīum.ATENEO.
https://archium.ateneo.edu/discs-faculty-pubs/42