Prediction of Success and Complex Event Processing in E-Learning

Sudan B., Cansiz S., Ogretici E., AKTAŞ M. S.

2nd International Conference on Electrical, Communication and Computer Engineering, ICECCE 2020, İstanbul, Turkey, 12 - 13 June 2020 identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1109/icecce49384.2020.9179281
  • City: İstanbul
  • Country: Turkey
  • Keywords: behaviour data analysis, complex event procesing, e-learning, success prediction, web usage mining
  • Yıldız Technical University Affiliated: Yes

Abstract

© 2020 IEEE.Tracking, modelling and understanding user activities in e learning platforms have become an emerging need in recent years. Understanding the user's learning behavior will allow e learning platforms to produce actions that might improve the learning process for the users. This study is focusing on the design of distributed software architecture of a system, which could track, model, understand the user behavior and produce actions to help users to have a better learning experience. We provide a prototype implementation of the proposed architecture and evaluate its performance for varying message loads. The results indicate that the proposed system can perform well and its processing overhead is negligible.