Abstract

This article proposes new approach to the development of studentâ??s individual learning path (ILP). The result of studentâ??s learning is defined as a set of competencies levels. The use of the multi-level system of generalized professional competencies allows to model ILP effectively and to automate the development of an optimal ILP. Each competency level in our model introduces some substantial units called subunits. The process of learning is a sequence of transitions from one studentâ??s state to another through a study of one or more courses. It is possible to present the relation of competency levels and courses in our model as Petri net. Using the Petri net model it is possible to automatically generate the individual learning path including the courses that the student needs to attend according to the set of certain competency levels. For searching of an optimum individual learning path we use algorithm based on tree of reachability for Petri net. The developed model and algorithm were used in the prototype of the information system for automating the construction of individual learning paths. The developed information system may be used for the construction of individual student's learning paths in educational institutions of higher education.

Highlights

  • University educational programs include mandatory study courses and variable choice courses

  • The result of education on a certain specialization is described in our model as a set of certain competency levels

  • Learning process is a sequence of courses from individual learning paths (ILP) which allows a student to transit from the initial state o0 to the final state om

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Summary

INTRODUCTION

University educational programs include mandatory study courses and variable choice courses Each student creates his or her individual learning path by choosing some courses at the beginning of the academic year or semester. For each result of professional activity we have determined generalized skills representing key subunits of competency levels [1]. Comparing these results with levels of education we have been able to identify five levels of competency included in each other in process of complexification: readiness for practical typical actions on a pattern; readiness for the regulated independent actions; readiness for applied independent practical activities in innovative conditions; readiness for design, development, and realization of innovative products; readiness for research and forecasting in the sphere of innovations. One of the features of our system is the development of students’ optimal ILP

FORMALIZATION OF THE PROBLEM OF CONSTRUCTING
THE MODEL OF INDIVIDUAL LEARNING PATH DEVELOPING WITH THE USE OF PETRI NETS
CONCLUSION

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