RESEARCH OF MULTICRITERIAL DECISION-MAKING MODEL FOR EDUCATIONAL INFORMATION SYSTEMS

Subject of Research. Decision-making model is offered for informational and educational systems. The study of multi-criteria model is carried out taking into account knowledge, reaction and doubt. Method. The model of material proficiency by the user is based on identification of the personal characteristics when operating with the system. As a result of personal characteristics tracking in the system, an image is formed for each user that can be used for identifying his state: knowledge level, proportion of error, handwriting information, etc. During registration the user is passing an input test. Multi-criteria test results are automatically stored in the user's personal database (agent matrix) and accounted for psychological comfort, formation of the next system content, management of knowledge levels, decision-making when working with the system. The proposed method gives a more clear and "transparent situational picture" for objective decision-making. Main Results. Implementation of multi-criteria decision-making model contributes to the quality of distance education. Also, the method makes it possible to reduce the probability of guessing the correct answer, thus increases the objectivity of knowledge level evaluation in diagnostic systems for management of learning process based on remote technologies. Practical Relevance. Obtained theoretical results of the work are used in training systems on the basis of multi-criteria decision models. Thus, the proposed model leads to an increase in the average score of about 0.3-0.4 points and reduces the training time in 1.5 to 2.0 times.

1. Serbin V.V., Syrymbayeva A., Tolebayeva K. Multi-criteria decision-making model for information learning system: a critique of the level of doubt. International Journal of eGovernance and Networks, 2015, no. 3, pp. 56–65.
2. Serbin V.V., Smirnova Yu.G. Psychometric indicator of doubt in computer test. Proc. Int. Research and Practice Conf. and I stage of the Championship in physical, mathematical and chemical sciences. London, 2013, pp. 43–46.
3. Serbin V. Methodology for measuring the level of users doubts: start of a new theory. European Applied Sciences, 2013, no. 1, pp. 230–233.
4. Serbin V. Multicriteria metod diagnosis of the intellectual and socialpsychological characteristics of personality. Proc. 2nd Int. Scientific Conference European Applied Sciences: Modern Approaches in Scientific Researches. Stuttgart, Germany, 2013, vol. 3, pp. 93–97.
5. Nogin V.D. Decisions in Multicriteria Environment: A Quantitative Approach. Moscow, Fizmatlit Publ., 2002, 176 p.
6. Serbin V. Technology, Methodology for the Creation and Development of Information and Learning Systems. Almaty, AIPET, 2010, 198 p.
7. Vinogradov G.P., Kuznetsov V.N. Modeling agent's behavior based subjective perceptions on the situation of choice. Scientific and Technical Information Processing, 2011, no. 3, pp. 58–72.
8. Teslinov A.G. Conceptual Design of Complex Solutions. St. Petersburg, Piter Publ., 2009, 288 p. (In Russian)
9. Hoenig C. The Problem Solving Journey: Your Guide To Making Decisions and Getting Results. Perseus Publishing, 2000, 283 p.
10. Galotti K.M. Making Decisions That Matter: How People Face Important Life Choices. London, Lawrence Erlbaum Associates, 2002.
11. Ranyard R., Crozier W.R., Svenson O. Decision Making: Cognitive Models and Explanations. London, NY, Routledge, 1997.
12. Salas E., Klein G.A. Linking Expertise and Naturalistic Decision Making. Lawrance Erlbaum Associates, 2001, 464 p.
13. Stair R.M., Reynolds G. Principles of Information Systems: A Managerial Approach . Delmar Cengage Learning, 2007, 600 p.
14. Applegate L.M., Austin R.D., McFarlan F.W. Corporate Information Strategy and Management: Text and Cases. 7th ed. McGraw Hill, 2007, 657 p.
15. Robinson D. Aspect-Oriented Programming with the e Verification Language. Morgan Kaufmann, 2007, 265 p.
 

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License