Vol. 19 / 2024 – International Conference on Virtual Learning
Web usage mining for adapted and personalized educational space
Daniela OROZOVA, Nadezhda ANGELOVA, Iva OROZOVA
The paper presents an approach to extract and analyze web data by examining content and learner activities in the learning space. The methodology can be effectively utilized to gain deeper insights into the behaviors of various user groups and the individualized effects experienced during learning in contemporary online educational environments.
Keywords:
web metrics,
data analytics,
web usage mining
CITE THIS PAPER AS:
Daniela OROZOVA,
Nadezhda ANGELOVA,
Iva OROZOVA,
"Web usage mining for adapted and personalized educational space",
International Conference on Virtual Learning,
ISSN 2971-9291, ISSN-L 1844-8933,
vol. 19,
pp. 35-44,
2024.
https://doi.org/10.58503/icvl-v19y202403