employee
Russian Federation
student
Russian Federation
employee
Russian Federation
VAK Russia 1.2.2
UDC 681.3
This paper presents a statistical analysis based on a survey of students’ attitudes towards certain humanities subjects. Purpose: to identify the structural links between different disciplines and the various types of students’ goal orientation. Methods: rank correlation coefficient-based statistical techniques were used. Results: an experimental learning model has been developed for a cycle of the university humanities disciplines, providing a qualitative analysis of pedagogical activity. The constructed model is based on probabilistic and statistical methods of graph theory. A set of programmes has been developed for the model to function in the Wolfram language. There has been a notable increase in student interest in managing their own learning activities, as well as in creating the conditions for improvement and establishing the necessary links between participants in educational activities. Practical significance: the developed model enables participants in the educational process, particularly students, to actively engage with university educational activities.
monitoring of learning, Spearman’s correlation coefficient, Kendall’s correlation coefficient, structural model, sample mean
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