Learning outcomes evaluation based on mixed diagnostic tests and cognitive graphic tools

Anna E. Yankovskaya, Yury N. Dementev, Danil Y. Lyapunov, Artem V. Yamshanov

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we discuss the relevance of students’ learning outcomes evaluation using computer-based testing. The learning process is based on mixed diagnostic tests. For the purpose of evaluation, we use the threshold, fuzzy logic and cognitive graphic tools. The construction of mixed diagnostic tests, representing a compromise between unconditional and conditional components, in order to develop students’ knowledge evaluation is proposed for a number of disciplines. We suggest a technique for optimal mixed diagnostic tests construction based on the expert knowledge of the subjects for effective learning. The developed approach is used for a number of both the humanities and technical disciplines. One of useful outcomes of mixed diagnostic tests application is the learning trajectory design for each individual. We construct students’ learning trajectory using the intelligent learning and testing system and suggest defining their inherent approach to the learning process within the problem area.

Original languageEnglish
Title of host publicationLinguistic and Cultural Studies
Subtitle of host publicationTraditions and Innovations - Proceedings of the 17th International Conference on Linguistic and Cultural Studies, LKTI 2017
PublisherSpringer Verlag
Pages81-90
Number of pages10
Volume677
ISBN (Print)9783319678429
DOIs
Publication statusPublished - 2018
Event17th International Conference on Traditions and Innovations in Linguistic and Cultural Studies, LKTI 2017 - Tomsk, Russian Federation
Duration: 11 Oct 201713 Oct 2017

Publication series

NameAdvances in Intelligent Systems and Computing
Volume677
ISSN (Print)2194-5357

Conference

Conference17th International Conference on Traditions and Innovations in Linguistic and Cultural Studies, LKTI 2017
CountryRussian Federation
CityTomsk
Period11.10.1713.10.17

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Keywords

  • Cognitive graphic tool
  • Fuzzy logic
  • Learning and testing intelligent system
  • Learning trajectory
  • Mixed diagnostic tests
  • n-simplex
  • Pattern recognition
  • Threshold logic

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)

Cite this

Yankovskaya, A. E., Dementev, Y. N., Lyapunov, D. Y., & Yamshanov, A. V. (2018). Learning outcomes evaluation based on mixed diagnostic tests and cognitive graphic tools. In Linguistic and Cultural Studies: Traditions and Innovations - Proceedings of the 17th International Conference on Linguistic and Cultural Studies, LKTI 2017 (Vol. 677, pp. 81-90). (Advances in Intelligent Systems and Computing; Vol. 677). Springer Verlag. https://doi.org/10.1007/978-3-319-67843-6_11