@inproceedings{26471370ed9d4e3888c5da89b589375f,
title = "Students learning results prediction with usage of mixed diagnostic tests and 2-simplex prism",
abstract = "Students learning results prediction is one of the “hottest” problems in modern learning process. We describe mathematical framework of students learning results assessment on the basis of mixed diagnostic tests (MDT). This framework includes cognitive graphic tools 2-simplex and 2-simplex prism, being the powerful means of data visualization for learning outcomes evaluation and efficient goal-setting. A new approach to the prediction of students{\textquoteright} learning results based on MDT and cognitive graphic tools is proposed. Students test results for the e-learning course “Selected Chapters of Electronics” and examples of their learning outcomes cognitive visualization are given. The proposed approach to prediction and cognitive visualization is discussed. Cross-platform software implementation specificity of cognitive graphic tools invariant to problem areas is described.",
keywords = "2-simplex prism, Cognitive tool, Data visualization, e-learning, Learning, Mixed diagnostic test, Prediction",
author = "Anna Yankovskaya and Yury Dementyev and Artem Yamshanov and Danil Lyapunov",
note = "Publisher Copyright: {\textcopyright} Springer Nature Switzerland AG 2019. Copyright: Copyright 2019 Elsevier B.V., All rights reserved.; 11th International Conference on Intelligent Data Processing, IDP 2016 ; Conference date: 10-10-2016 Through 14-10-2016",
year = "2019",
doi = "10.1007/978-3-030-35400-8_8",
language = "English",
isbn = "9783030353995",
series = "Communications in Computer and Information Science",
publisher = "Springer Paris",
pages = "106--121",
editor = "Strijov, {Vadim V.} and Ignatov, {Dmitry I.} and Vorontsov, {Konstantin V.}",
booktitle = "Intelligent Data Processing - 11th International Conference, IDP 2016, Revised Selected Papers",
address = "France",
}