The use of structural modelling methods for analysis of personalized study planning

Fast technological development dictates the growing demand for knowledge and skills. Thus for the learners it is necessary to offer a more flexible way of knowledge acquisition where they can plan their studies independently. Such personalized study planning allows learners to be engaged in this process. The learner can create study programme according to his/her preferences and, as a result, they are more motivated to learn within the study programme planned by them. The authors had already implemented personalized study planning process in a prototype, which allows to create a personalized study programme, and then to plan the course learning, setting the courses in the required sequence [1, 2]. The prototype of personalized study planning system is designed as a part of pedagogical module of intelligent tutoring system and in its essence is a graph-based framework consisting of four hierarchical graphs. Study programme and study course depicted in a form of a graph allows learners to obtain a content of the programme or course structure transparently. In this paper the authors propose the use of structural modelling methods for analysis of personalized study planning based on graph framework. This approach allows to rank elements in the structure according to their importance. That helps the study programme directors, teachers and programme administrators to make the right decisions, making changes to the structure, not threatening the existence of programme or course structure.