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Method for assessing the information content of factors forming the cognitive independence of students to increase the efficiency of educational technologies

EasyChair Preprint no. 4841

9 pagesDate: December 29, 2020

Abstract

The article describes the problem of awakening the cognitive activity of students, arising due to revolutionary transformations in teaching technologies. It shows the need to study the factors that affect cognitive activity and assesses the information content of those factors. Based on the method of pair comparisons, a technology for ranking the factors affecting cognitive activity has been developed. A mathematical model of the formation and processing of expert assessment results and an example of calculations are given, and the feasibility of including the subsystem for evaluating factors affecting cognitive activity in the computer control system of the university is shown. The article shows how the results of assessment can be used in developing strategies for improving the educational process at the university, as well as the results of improving the quality of the educational process after the introduction of a computer-based e-learning system modernized using the proposed method (on the example of the Sumy National Agrarian University).

Keyphrases: cognitive independence, distance learning, e-learning, human factor, influencing factor, Learning Management System, lifelong learning

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@Booklet{EasyChair:4841,
  author = {Victoriya Logvinenko and Olga Siryk and Evgeniy Lavrov},
  title = {Method for assessing the information content of factors forming the cognitive independence of students to increase the efficiency of educational technologies},
  howpublished = {EasyChair Preprint no. 4841},

  year = {EasyChair, 2020}}
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