We are looking for new ways to instrument classrooms towards the ideals of adaptive learning environments and massively personal education. In this work , we are focusing on a framework to provide affordable alternatives for data collection, information services, and Analytic models about the classroom environment. This development advances the state-of-the-art by introducing an alternative to analyse the education performance based on differentiated multi-dimensional data and large data sets of relevant data and information. We designed a proof-of-concept experiment to detect variations of level of attentiveness, activity and task performance. In our initial tests, we could successfully collect and analyse relevant signals in a classroom environment and relate them to education performance.