An approach to automatic evaluation of educational influence

As the acquisition of knowledge is often an expensive and time-consuming process, it is important to know whether it actually improves the student performance. The e-learning is a revolutionary paradigm that has lately been significantly evolving and it is closely related to the intelligent tutoring systems. Methodology for evaluating the educational influence of learning and teaching process, questions whether and in what amount, students learn effectively. Within this context, we measure educational influence by using the effect size as metric. In this paper we present architecture and functionality of a model for the automatic evaluation of educational influence. The model relies its evaluation engine on methodology that has been originally developed for the intelligent tutoring systems effectiveness evaluation, and it will, generally, be applicable on any e-learning system. That would enable calculation of overall e-learning systems effectiveness, as well as, effectiveness of different categories of e-learning systems, using meta-analysis.