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

Anna Yankovskaya, Yury Dementyev, Danil Lyapunov, Artem Yamshanov

Результат исследований: Материалы для книги/типы отчетовМатериалы для конференции

2 Цитирования (Scopus)

Аннотация

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.

Язык оригиналаАнглийский
Название основной публикацииProceedings of the 35th IASTED International Conference on Modelling, Identification and Control, MIC 2016
ИздательACTA Press
Страницы59-65
Число страниц7
Том830
ISBN (электронное издание)9780889869790
DOI
СостояниеОпубликовано - 1 янв 2016
Событие35th IASTED International Conference on Modelling, Identification and Control, MIC 2016 - Innsbruck, Австрия
Продолжительность: 15 фев 201616 фев 2016

Конференция

Конференция35th IASTED International Conference on Modelling, Identification and Control, MIC 2016
СтранаАвстрия
ГородInnsbruck
Период15.2.1616.2.16

ASJC Scopus subject areas

  • Software
  • Modelling and Simulation
  • Computer Science Applications

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  • Цитировать

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