New Approach of Using Structural Modelling for Personalized Study Planning

The planning of individual studies becomes more and more topical. Alongside the fast and diverse rhythm of life, people need individual approach to study planning. It ensures wider availability of learning for different social groups. The use of information and communication technologies (ICT) in the process of studies makes it more attractive and more interesting as well as more adequate to the demands of the 21st century. The authors have developed graph based framework for personalization of education process based on the set of four graphs representing the structure of the study programme, the structure of the study courses, the concept maps, and the learning objects [1, 2, 3, 4, 5]. Special tool is needed which allows the learners themselves to design the learning strategy corresponding to their interests. 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 [3, 4, 5]. In this paper the authors propose the use of the methods of structure analysis to calculate the ranks for the node of the graphs thus detecting the most significant nodes in the graph structure. The calculations for the ranks are made for the graph of the study programme, for the graph of study courses, and for the concept maps. The calculation of ranks for the graph nodes allows detecting the most significant courses in the study programme, the most important topics in the study course and the most essential concepts in the concept map

@article{Rollande2014,
  title     = {New Approach of Using Structural Modelling for Personalized Study Planning},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {4},
  number    = {3},
  year      = {2014},
  publisher = {The Science and Information Organization},
  note      = {Special Issue on Extended Papers from Science and Information Conference 2014},
  author    = {Raita Rollande and Janis Grundspenkis and Antons Mislevics},
  doi       = {10.14569/SpecialIssue.2014.040312},
  url       = {https://doi.org/10.14569/SpecialIssue.2014.040312}
}