Τεχνητή νοημοσύνη και διαδίκτυο: εκπαιδευτικό περιβάλλον ιστού για ασύγχρονη εξ αποστάσεως εκπαίδευση με ενσωμάτωση μαθητικών μοντέλων και συλλογισμών ανάλογων περιπτώσεων

Abstract

The scope of this Phd thesis is the implementation of a web based education Enviroment that remedy the educational disadvantages of Asychronous Distance Education. The environment is called See Yourself Improve (SYIM) andis based on two inhavative axis; α) The use of Student Models β) The employment of Core Based Reasoning in Asychronous Distance Educations. SYIM emphasize on procedures that monitor students learning styles in order to construct the relevant Student Model, in addition with procedures responsible for the provision of personalised distance education services. SYIM contributes to the improvement of the tutors ability to monitor the individual learning needs of each student and to keep a truck of the feedbsck provided to the latter. On the other hand, SYIM provides to the students the benefit of the intense supervision related to their individual learning needs, and the effective support and guidance on how to overcome a misconception or a performance gap towards the achievement of better context comprehension SYIM's formative and summative evaluation , during a pilot testing session demonstrated that SYIM is a quite usefull web based Education Environment.