Guzalia Shagivaleeva

Work place: Department of Psychology, Kazan Federal University, Kazan, Russian Federation

E-mail: shaguzalras@outlook.com

Website: https://orcid.org/0000-0003-3603-1186

Research Interests:

Biography

Guzalia Shagivaleeva is a Candidate of Sciences (Psychology), Associate Professor at the Department of Psychology, Kazan Federal University, Kazan, Russian Federation. Research interests: mass communication, psychology, ducational settings, interactive gaming, educational computer games, and children's emotional and intellectual well-being.

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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