Using the Semantic Differential Method to Assess the Learning Motivation and Attitude of First-Year Students towards Chemistry in University of EMERCOM of Russia

Galina Borisovna Svidzinskaya (), Yuri Grigorievich Baskin () and Mariya Evgen’evna Mezentseva ()

International Journal of Education and Practice, 2019, vol. 7, issue 2, 88-100

Abstract: It is an interesting to obtain an objective view of students’ attitude toward a certain discipline and to construct effective pedagogical diagnostics based on the obtained data. Such data relates to both the academic performance of students and also their emotional attitude towards a subject and motivation to study it. This research study, using the semantic differential method, used a survey tool for measuring students’ attitudes towards “Chemistry” as a body of knowledge and practical use. A questionnaire was administered to first-year students from the University of EMERCOM of Russia, who were studying Chemistry as a basic discipline. Methods of graphical and factor analysis were used to process the data obtained during the study. The concurrent results of both methods prove the applicability of the graphical data processing method for small subject groups’ analysis, when factor analysis was not sufficiently accurate. As a result of statistical data processing, four basic factors, reflecting the students’ attitude to the Chemistry course, were identified. The learners were seen having different attitudes depending on the major chosen, on gender and on the nature of the educational group. A lack of understanding of the role of Chemistry in professional disciplines was found to be a major cause for low learning motivation. It was also revealed that academic performance could be increased by monitoring the students’ emotional states. A combination of both factor analysis and graphical data processing made this study both qualitative and quantitative.

Keywords: Semantic differential; The subject of chemistry; Motivation; Pedagogical diagnostics; University of EMERCOM of Russia (search for similar items in EconPapers)
Date: 2019
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