5. CONCLUSION
We have presented the Open Monitoring Environment that allows a teacher working in a technology-based learning environment to adopt roles of software developer or domain expert in his or her work. In this way, the OME essentially mixes teaching and development activities together and allows a flexible and highly contextualized learning environment for observing students’ activities. The fundamental steps of an educational data mining processes can be found in the OME. We propose that the OME could be utilized not only as a tool for helping teachers in robotics classes, but also as a learning environment for educational data mining courses when learning and teaching how to use simple classifying schemes. The simplicity of the environment and rapid iterations of the OME could bring added value for educational
data mining teaching.