Detecting Behavioral Trajectories in Continued Education Online Courses

Continuing education online has been steadily increasing worldwide and its students' profiles tend to be different from those in other formal modalities. Hence, it is relevant to understand the behavior of these students along their course trajectories. In this work, we investigate a specializa...

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Bibliographic Details
Main Authors: Penteado, Bruno Elias, Isotani, Seiji, Paiva, Paula Maria Pereira, Marina, Morettin-Zupelari, Ferrari, Deborah Viviane
Format: Conference Proceeding
Language:English
Subjects:
Data mining
Education
learning analytics
learning trajectories
Medical services
Navigation
sequence analysis
Sequences
Trajectory
Online Access:Request full text
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Summary:Continuing education online has been steadily increasing worldwide and its students' profiles tend to be different from those in other formal modalities. Hence, it is relevant to understand the behavior of these students along their course trajectories. In this work, we investigate a specialization online course involving hearing healthcare professionals (n=96), to discover different navigation strategies and the factors which may influence it. To that end, we applied sequence analysis techniques to interpret different navigation patterns and selected demographic covariables which may influence these behavioral trajectories. Three clusters were found, with subtle differences among them and three variables with greater predictive power: age, professional experience and region.
ISSN:2161-377X
DOI:10.1109/ICALT.2019.00069