Original article
DOI: 10.15293/1812-9463.2203.02
Antonina Valerianovna Ganicheva
Tver State Agricultural Academy, Tver, Russia
Alexey Valerianovich Ganichev
Tver State Technical University, Tver, Russia
Abstract. The article discusses new, visual, rather simple from a computational point of view, methods for calculating the individual trajectories of trainees. Indicators characterizing the effectiveness of the learning process are introduced: the volume and pace of knowledge acquisition, the student’s abilities. These indicators can be used to form individual educational trajectories. Econometric models have been constructed for these indicators. It is shown how to build models using dummy variables. Based on such models, it is possible to assess the presence of structural changes in the educational process. The aim of the study is to develop indicators that characterize the formation of individual educational trajectories of students and the construction of econometric models of regression dependences of these indicators on a factor sign (number of study hours). The models developed in the article can be used to monitor the educational process with the possibility of its adjustment, management, as well as to predict its effectiveness. These indicators can be used to form individual educational trajectories.
Keywords: learning process, amount of knowledge, learning trajectory, econometric model, dummy variables, subject learning performance, learnerʼs abilities.
For citation: Ganicheva A. V., Ganichev A. V. Modeling of Trajectories of Obtaining and Assimilation of Knowledge. Journal of Pedagogical Innovations, 2022, no. 3 (67), pp. 16–24. (In Russ.) DOI: https://doi.org/10.15293/1812-9463.2203.02
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Information about the Authors
Antonina V. Ganicheva – Candidate of Physical and Mathematical Sciences, Associate Professor of the Department of Physical and Mathematical Disciplines and Information Technologies, https://orcid.org/0000-0002-0224-8945, TGAN1955@yandex.ru
Alexey V. Ganichev – Associate Professor of the Department of Computer Science and Applied Mathematics, alexej.ganichev@yandex.ru
