Software Architectures of Applications Used for Enhancing On-line Educational Environments

This paper presents two prototype software architectures that are used for building applications that are used for enhancing the on-line educational environments. The software architectures are based on the concept of educational data/knowledge flow. The presented software architectures are designed with the goal of setting up an infrastructure whose implementation will offer functionalities for on-line educational environments. The core functional goal of the two architectures is professional student search. This goal is achieved by employing two classification mechanisms: a decisions tree based classifier and a Bayesian classifier. The final business goal of the architectures is searching for a tutor student among all other colleagues and searching for students to which messages are to be sent in an advanced messaging system. Such functionalities offered by a service type application that runs along the on-line educational environment is intended to enhance the educational quality of the on-line educational environment that is offered to students.