Abstract:

The aim of the study is to measure and compare the comfort of high school students' learning depending on academic subjects – Russian language and literature, mathematics, computer science, and social sciences. The comfort of learning is considered as a latent variable and is determined operationally - based on the set of indicators. The research is carried out within the framework of the theory of latent variables.

To achieve this goal, the following tasks were completed:
• analysis of the quality of the questionnaire as a measuring tool.
• measurement on a linear scale of the comfort of learning of high school students when studying Russian language and literature, mathematics, computer science, and social sciences.
• conducting a comparative analysis of estimates of the comfort of learning depending on the academic subjects.

The sample of students was chosen from schools of Slavyansk-on-Kuban district of Kuban region (Russia). There was a total of 200 students, including 75 females and 125 males.

To process the survey results, the dialog system RUMM2020 was used.

It is shown that the questionnaire items (indicators) are compatible, meaning that they correspond to the measurement model. This means that the questionnaire can be used to measure the learning comfort of high school students.

ANOVA was used to compare academic subjects based on the comfort of learning of high school students. It was shown that the best estimates of comfort of learning were obtained when studying computer science, the least when studying Russian language and literature.

Keywords:

Comfort of learning, high school, academic subjects, measurement, linear scale, Rasch model.