• Sabina Katalnikova Riga Technical University, Faculty of Computer Science and Information Technology (LV)
  • Leonids Novickis Riga Technical University, Faculty of Computer Science and Information Technology (LV)



self-directed learning, intelligent collaborative educational system, knowledge base, inference engine, extended semantic network


In connection with the transition to a knowledge-based economy, at a time when a key factor in the development of society is the accumulated human knowledge and skills, as well as the availability of a wide range of users, intelligent systems are becoming very popular. Accordingly, the demand of the ergonomic and effective means of designing this class system is growing as well. The most time-consuming and most important stage of intelligent system development is the formation of the system knowledge base which ultimately determines the efficiency and quality of the entire intelligent system. Knowledge representation and processing models and methods as well as the intelligent system development techniques operating on the basis of these methods and models have a crucial role in relation to this. The article explores the different aspects of intelligent collaborative educational systems, describes the overall structure of an intelligent collaborative educational system and reflects the different steps of development the system.


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How to Cite

S. Katalnikova and L. Novickis, “VARIOUS ASPECTS OF INTELLIGENT COLLABORATIVE EDUCATIONAL SYSTEMS”, ETR, vol. 2, pp. 67–76, Jun. 2017, doi: 10.17770/etr2017vol2.2549.