International Journal of
Information and Education Technology

Abstract

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.