The Open Monitoring Environment (OME) allows a teacher to
monitor, model and, thus, understand, the learning process based
on the real data rising from an educational robotics class. The
OME uses a novel educational data mining approach where
teachers are empowered to create rules to extract pedagogically
and contextually meaningful patterns of actions from a raw data
flow. The OME has been tested in various educational robotics
settings and our results indicate that the data mining approach in
the OME is easily accessible even for users who are not computer
science experts. We propose that the OME could be utilized in
computer science education as a platform for empirical, hands-on
approach for teaching and learning educational data mining.