Monitoring Class Activity and Predicting Student Performance Using Moodle Action Log Data

Monitoring Class Activity and Predicting Student Performance Using Moodle Action Log Data

Purpose – This paper proposes a novel approach for processing course log data obtained from Moodle-based blended courses in order to visualize patterns of student activity within the online environment and to determine whether these log data can be used to predict student academic performance. Meth...

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Bibliographic Details
Main Authors: Rodolfo C. Raga Jr, Jennifer D. Raga
Format: Article
Language:English
Published: STEP Academic Publisher 2017-06-01
Series:International Journal of Computing Sciences Research
Subjects:
action log analysis
blended learning
moodle
performance prediction
student activity
Online Access:https://www.stepacademic.net/ijcsr/article/view/33/19

Internet

https://www.stepacademic.net/ijcsr/article/view/33/19

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