Raita Rollande

Representation of study program as a part of graph based framework for tutoring module of intelligent tutoring system

In situation when the demographic indicator is negative, higher education institutions need to be flexible and must offer personalized education for every learner. Educational courses should not only reach the highest quality, but also correspond to and meet all needs of each individual learner. The individualized education system concept proposed by the authors offer graph-based framework consisting of four graphs to personalize education process tutoring module of intelligent tutoring system. Personalized learning enables every learner to design his/her own study program, which is described by AND - OR graph. Second graph represents a structure of study course by showing relationships between topics. The third graph is constructed by mapping each topic to the corresponding concept map, which includes all taught concepts and their relationships. The fourth graph represents a concept and its relationships with all needed learning objects to acquire knowledge about the concept. The article is concentrated on description of a scenario for development of individual study program.

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.

Suitability analysis of graph visualization algorithms for personalized study planning

In previous papers the present authors have covered personalized study planning framework, and also have implemented study planning system (SPS) prototype, which allows to create a personalized study program, and then to plan the course learning, setting the courses in the required sequence, and make structure analysis thus detecting the most significant nodes in the graph structure. In this paper authors describe the application of eight common graph visualization algorithms - Tree, Circular, EfficientSugiyama Fruchterman-Reingold - FR, BoundedFR, ISOM, Kamada - Kawai - KK; LinLog - for representing study plans and course structures in the personalized study planning system.