Nowadays, there is a increasing in the use of learning management systems
from the universities. This type of systems are also known under other
di erent terms as course management systems or learning content management
systems. Speci cally, these systems are e-learning platforms o ering
di erent facilities for information sharing and communication between the
participants in the e-learning process.
This contribution presents an experimental study with several subgroup
discovery algorithms based on evolutionary fuzzy systems using data from a
web-based education system. The main objective of this contribution is to
extract unusual subgroups to describe possible relationships between the use
of the e-learning platform and marks obtained by the students. The results
obtained by the best performing algorithm, NMEEF-SD, are also presented.
The most representative results obtained by this algorithm are summarised in
order to obtain knowledge that can allow teachers to take actions to improve student performance
