V. A. Marenko, O. N. Luchko, Ch. K. Ryspayeva
o_luchko@rambler.ru
Sobolev Institute of Mathematics – Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russian Federation
Omsk Humanitarian Academy, Omsk, Russian Federation
Kyrgyz State University named after I. Arabaev, Bishkek, Kyrgyz Republic
Modeling the structure of students’ motivational complex on the example of pedagogical activity
Abstract: The article presents the results of a study of the structure and dynamics of motivation to master the profession of a teacher.Based on the results of a survey of students of different courses at pedagogical universities, complexes and features of the dynamics of students’ motivation for learning were identified.Models were built in the form of semantic profiles of subjects, on the basis of which the dynamics of the motivational complex for students was studied with visualization in the form of histograms constructed by sorting factors from maximum to minimum scores with subsequent normalization.Based on the identified motivation factors, a cognitive model “Motivation” was formed in the form of a sparse directed graph, the vertices of which are the identified factors, and the cause-and-effect relationships between them are determined by the numberof edges.According to the results of the simplicial analysis, an implicit connection was identified between the factors “motivation”, “opportunity for self-expression” and “success situation”.
Keywords: motivation, modeling, semantic profile, cognitive model, simplicial analysis.
Paper submitted: December 1, 2022.
For citation: Marenko V. A., Luchko O. N., Ryspayeva Ch. K. (2023) Modeling the structure of students’ motivational complex on the example of pedagogical activity. Russian Journal of Social Sciences and Humanities, vol. 17, no. 3, pp. 143–150. DOI: 10.57015/issn1998-5320.2023.17.3.15.
Financing: The work was carried out within the framework of the state assignment of the Institute of Mathematics of the Siberian Branch of the Russian Academy of Sciences, project FWNF-2022-0016.
