Design of individual learning trajectory based on mixed diagnostic tests and cognitive graphic tools

Abstract

In this paper we discuss the relevance of students' computer-based testing, as well as the currently existing approaches for the control of learning and training within the scope of blended learning. Construction of mixed diagnostic tests, representing a compromise between unconditional and conditional components, in order to develop students' knowledge monitoring in electrical engineering is proposed. The authors suggest a technique for optimal mixed diagnostic tests construction based on the expert knowledge of the subjects. Decision-making is carried out by means of fuzzy logic, threshold function and cognitive graphic tools. One of the useful outcomes of mixed diagnostic tests is the courses learning curve design for each individual student. The developed approach is applied for the "Power Electronics" discipline to construct students' learning trajectory and define their further ways of personal development in the field of electrical engineering.

Original language	English
Title of host publication	Proceedings of the 35th IASTED International Conference on Modelling, Identification and Control, MIC 2016
Publisher	ACTA Press
Pages	59-65
Number of pages	7
Volume	830
ISBN (Electronic)	9780889869790
DOIs	https://doi.org/10.2316/P.2016.830-042
Publication status	Published - 1 Jan 2016
Event	35th IASTED International Conference on Modelling, Identification and Control, MIC 2016 - Innsbruck, Austria Duration: 15 Feb 2016 → 16 Feb 2016

Conference

Conference	35th IASTED International Conference on Modelling, Identification and Control, MIC 2016
Country	Austria
City	Innsbruck
Period	15.2.16 → 16.2.16

Keywords

Assessment
Blended learning
Cognitive graphic tool
Fuzzy logic
Learning and testing intelligent system
Learning trajectory
Mixed diagnostic tests
Pattern recognition
Quality control
Simplex

ASJC Scopus subject areas

Software
Modelling and Simulation
Computer Science Applications

Access to Document

10.2316/P.2016.830-042

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Design of individual learning trajectory based on mixed diagnostic tests and cognitive graphic tools. / Yankovskaya, Anna; Dementyev, Yury; Lyapunov, Danil; Yamshanov, Artem.

Proceedings of the 35th IASTED International Conference on Modelling, Identification and Control, MIC 2016. Vol. 830 ACTA Press, 2016. p. 59-65.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Yankovskaya, A, Dementyev, Y, Lyapunov, D & Yamshanov, A 2016, Design of individual learning trajectory based on mixed diagnostic tests and cognitive graphic tools. in Proceedings of the 35th IASTED International Conference on Modelling, Identification and Control, MIC 2016. vol. 830, ACTA Press, pp. 59-65, 35th IASTED International Conference on Modelling, Identification and Control, MIC 2016, Innsbruck, Austria, 15.2.16. https://doi.org/10.2316/P.2016.830-042

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