The Link Between Adolescent Mental Features and School Success
https://doi.org/10.18384/3033-6414-2026-3-88-99
Abstract
Aim. To identify groups of adolescents with different levels of stress, academic motivation, cognitive difficulties, and life satisfaction and to characterise them in terms of academic performance.
Methodology. The study involved 73 adolescents (average age: 13 years old). The methods to assess academic motivation, cognitive difficulties, and life satisfaction, and perceived stress level were used. Statistical analysis included correlation and cluster analysis.
Results. Three stable groups of adolescents were identified, differing in their combination of motivational, emotional, and stress characteristics. The most resourceful group is characterised by high motivation and life satisfaction with moderate to low stress levels. The most vulnerable group combines low motivation, high stress, and pronounced cognitive difficulties.
Research implications. Psychological work with adolescents experiencing academic problems should consider their individual characteristics, stress level, and the nature of their academic difficulties. A well-designed educational environment contributes to increased academic motivation, stress resilience, and successful socialisation in adolescents. Cluster analysis helps identify atrisk groups and develop individualised support strategies, thereby increasing the effectiveness of psychological interventions.
About the Authors
T. A. AntopolskayaRussian Federation
Tatyana A. Antopolskaya – Dr. Sci. (Education), Cand. Sci. (Psychology), Prof., Department of Psychology
Kursk
V. I. Kravchenko
Russian Federation
Veronika I. Kravchenko – Independent Researcher
Kursk
References
1. Afanasyeva, O. P., Nikiforova, I. N. & Chesnovitskaya, E. A. (2022). Theoretical Approaches to Study the Problems of Academic Success of Adolescents in a Modern Comprehensive School. In: Prepodavatel XXI vek. Russian Journal of Education, 3 (1), 81–88 (in Russ.). DOI: 10.31862/2073-9613-2022-3-81-88.
2. Muradymova, L. R. & Bochaver, A. A. (2025). Burnout of High School Students in Preparation for the Unified State Exam: The Role of the Educational Environment. In: Psychological Science and Education, 30 (2), 47–60 (in Russ.).
3. Gordeeva, T. O. (2015). Psychology of Achievement Motivation. Moscow: Smysl publ. (in Russ.).
4. Ryan, R. M. & Deci, E. L. (2000). Self-Determination Theory and the Promotion of Intrinsic Motivation, Social Development, and Well-Being. In: American Psychologist, 55 (1), 68–78. DOI: [https://doi.org/10.1037/0003-066X.55.1.68](https://doi.org/10.1037/0003-066X.55.1.68).
5. Tolstykh, N. N. (2015). Modern Growing Up. In: Counseling Psychology and Psychotherapy, 23 (4), 7–24 (in Russ.). DOI: 10.17759/cpp.2015230402.
6. Mikhailova, M. S. & Shamovskaya, T. V. (2021). Development of the Motivational Sphere of Students in Late Adolescence. In: Bulletin of Kemerovo State University. Series: Humanities and Social Sciences, 1 (17), 11–20 (in Russ.). [https://doi.org/10.21603/2542-1840-2021-5-1-11-20](https://doi.org/10.21603/2542-1840-2021-5-1-11-20).
7. Durlak, J. A., Weissberg, R. P., Dymnicki, A. B. et al. (2011). The Impact of Improving Students’ Social and Emotional Learning: A Meta-Analysis of Universal School-Based Interventions. In: Child Development, 82 (1), 405–432. DOI: [https://doi.org/10.1111/j.1467-8624.2010.01564.x](https://doi.org/10.1111/j.1467-8624.2010.01564.x).
8. Sanchez, A. L., Cornacchio, D., Poznanski, B. et al. (2018). The Effectiveness of School-Based Mental Health Services for Young School-Aged Children: A Meta-Analysis. In: Journal of the American Academy of Child and Adolescent Psychiatry, 57 (3), 153–165. DOI: [https://doi.org/10.1016/j.jaac.2017.11.022](https://doi.org/10.1016/j.jaac.2017.11.022).
9. Carey, J. & Dimmitt, K. (2012). School Counseling and Student Learning Outcomes: A Summary of Six Statewide Studies. In: Professional School Counseling, 16 (2), 146–153. DOI: [https://doi.org/10.1177/2156759X1201600206](https://doi.org/10.1177/2156759X1201600206).
10. Reader, M. (2023). The Infant Health Effects of Starting Universal Child Benefits in Pregnancy: Evidence from England and Wales. In: Journal of Health Economics, 89. URL: [https://www.sciencedirect.com/science/article](https://www.sciencedirect.com/science/article) (accessed: 21.01.2026). DOI: [https://doi.org/10.1016/j.jhealeco.2023.102751](https://doi.org/10.1016/j.jhealeco.2023.102751).
11. Panov, V. I. (2007). Psychodidactics of Educational Systems: Theory and Practice. St. Petersburg: Piter publ. (in Russ.).
12. Panov, V. I. & Plaksina, I. V. (2023). Interrelation of the Stages of Subjectivity of Schoolchildren in Grades 8–11 and Eco-Psychological Types of Interaction with the Educational Environment. In: Social Psychology and Society, 14 (3), 118–135 (in Russ.). DOI: 10.17759/sps.2023140308.
13. Fetiskin, N. P., Kozlov, V. V. & Manuilov, G. M. (2002). Social and Psychological Diagnostics of Personality and Small Group Development. Moscow: Institute of Psychotherapy publ. (in Russ.).
14. Sychev, O. A., Gordeeva, T. O., Lunkina, M. V., Osin, E. N. & Sidneva, A. N. (2018). Multidimensional Scale of Life Satisfaction of Schoolchildren. In: Psychological Science and Education, 23 (6), 5–15 (in Russ.).
15. Kharlamenkova, N. E., Kazymova, N. N., Nikitina, D. A., Dymova, E. N., Shatalova, N. N. & Gurnova, T. A. (2024). The Questionnaire “Scale of Perceived Stress for Children”: Adaptation and Psychometric Indicators. In: Experimental Psychology (Russia), 17 (2), 178–198 (in Russ.). DOI: 10.17759/exppsy.2024170211.
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