Review and Proposal for Intelligent Distance Education

Abstract

Information and communication technologies have led to new developments in education. Time and place independent education has emerged. Furthermore, different characteristics and huge numbers of individuals have made the use of new technological methods inevitable. In this context, distance education has become a popular education method to meet the emerging needs, increasing satisfaction, and learning performance of students. Mobile technology, intelligent systems, and Three Dimensional (3D) animations also provide enhancements in this field. In addition, distance education systems should be selected and developed properly for target students and environments. For this purpose, the assessment of prominent studies provides a road map for new research. In this sense, this chapter evaluates intelligent distance education studies in literature. Furthermore, it proposes a novel Artificial Neural Network (ANN)-based distance education system for Mehmet Akif Ersoy University. This ANN-based system can be implemented on Mehmet Akif Ersoy University infrastructure with agent. The proposed system consists of a learning management system, Web conferencing system, and an ANN agent. The agent's inputs that are already stored in Mehmet Akif Ersoy University's distance education databases can be easily retrieved. This agent provides reusability of course content and Web conferencing records.