Students Learning Results Prediction with Usage of Mixed Diagnostic Tests and 2-Simplex Prism

  • Anna YankovskayaEmail author
  • Yury Dementyev
  • Artem Yamshanov
  • Danil Lyapunov
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 794)


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’ 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.


Learning e-learning Prediction Mixed diagnostic test Cognitive tool Data visualization 2-simplex prism 


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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Anna Yankovskaya
    • 1
    • 2
    • 3
    • 4
    Email author
  • Yury Dementyev
    • 4
  • Artem Yamshanov
    • 3
  • Danil Lyapunov
    • 3
    • 4
  1. 1.Tomsk State University of Architecture and BuildingTomskRussia
  2. 2.National Research Tomsk State UniversityTomskRussia
  3. 3.Tomsk State University of Control Systems and RadioelectronicsTomskRussia
  4. 4.National Research Tomsk Polytechnic UniversityTomskRussia

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