Pogrebnyuk I. Modelling of the adaptive learning scenarios with the use of Petri nets

The aim of the research is to solve the problems of individualized learning organisation in distance learning through the use of adaptive technologies. Research employs the analysis of the distance learning support systems, as well as adaptive and individualized computer training systems, for the view of consideration of the users' models. Indicated is the necessity of implementation of the adaptive technologies in the distance learning process for improving the efficiency and quality of knowledge transmission and control. Dissertation presents the model of adaptive learning scenario developement (topics and frames of the topics) for each student, depending on certain characteristics of the student's model (academic background, test results, maps of the gaps in knowledge, curve of forgetting). A model of development of the adaptive testing scenarios is presented, based on the modified model of G.Rush, which is thereby reducing the length of the test and the time spent on testing. A distance adaptive learning system, based on the elaborated models and Web-technologies, is created and implemented in the learning process. The system is developed basing on the Google Web Toolkit framework, which allows for a fast work on the server and the support of arbitrary browser. The system is easy to expand or change as it is based on the principles of OOP; the use of Java technology allows for incorporating it in any operating system. Download of the adaptive content does not require a lot of time and expertise. The system offers the individual scenario of course training to a student, taking into account his/her level of training, as well as the time of forgetting of the studied material and gaps in knowledge, identified by testing.