Sergey Glushkov

Work place: Medical Informatics and Statistics Department, I.M. Sechenov First Moscow State Medical University, Moscow, Russian Federation

E-mail: serglushkov6@outlook.com

Website: https://orcid.org/0009-0001-6165-8768

Research Interests:

Biography

Sergey Glushkov is a Candidate of Sciences, Associate Professor at the Department of Medical Informatics and Statistics, I.M. Sechenov First Moscow State Medical University, Moscow, Russian Federation. Research interests: medical informatics, statistics, mass communication, educational computer games.

Author Articles
The Use of Computer Games in Teaching: The Impact on the Psychological State and Educational Success of Students

By Sergey Glushkov Tarek Mohamed Guzalia Shagivaleeva Ekaterina Kuzmina

DOI: https://doi.org/10.5815/ijmecs.2026.01.10, Pub. Date: 8 Feb. 2026

One of the main concerns in educational research is the effect of computer games on students' psychological well-being and academic achievement. Three hundred students from the State Academic University for the Humanities and Kazan Federal University participated in this study to look at these consequences. Using a mixed-methods approach, quantitative data from standardized questionnaires (GHQ, STAI) and qualitative data from semi-structured interviews were combined. The two universities had GHQ ratings of 15.0 and 17.6 and STAI values of 40.5 and 38.7, respectively, indicating moderate anxiety and general health concerns. Self-reported GPA indicated generally strong academic achievement, with no significant disparities between universities. Significant support was found for educational games in the survey replies, with 75% citing higher motivation and 80% agreeing that they had a favorable influence on learning. Nonetheless, 50% of educators reported difficulties incorporating games into their courses. These results demonstrate how educational games may improve learning and engagement. According to the study, more investigation is required to examine long-term impacts, variances among populations, and aspects of game design that maximize learning results.

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