Browsing by Author "Zhabykbay T."

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    The Correlation between Emotional Intelligence and Academic Success
    (SDU University, 2025) Zhabykbay T.
    The current study examines the correlations between emotional intelligence (EI) and academic performance among English as a foreign language (EFL) students in Kazakhstan. The study relies on quantitative data analysis, using non-probability purposive sampling techniques. Schutte's Self-Reported Emotional Intelligence Test (SSEIT) was employed to assess students' EI levels, and students were asked to provide their final grades in multiple core subjects of recent terms to understand the correlations between variables. Ethical considerations were maintained, and the data were collected through online questionnaires. Pearson's linear correlational coefficient and Spearman's rank correlational coefficient were employed to understand the relationships between EI and academic performance.The outcomes of the analyses verify positive, reasonable associations between the variables. Additionally, multiple regression analysis was conducted to understand the correlations between EI dimensions, such as emotional perception and utilisation, and management of one's own and others' emotions, regarding students' recent academic outcomes. The results indicate that emotional management has more explanatory power in predicting academic success than the perception and utilisation of emotions. However, Spearman's rank correlation does not indicate statistical significance.This study is important in terms of contributing to emerging interests in studying non-cognitive factors affecting academic performance in Kazakhstan, as well as providing EFL teachers with practical benefits to help increase students' emotional awareness. It also serves as a foundation for further studies.Limitations of the study include non-generalisability due to a small sample size of 30 participants, and the possibility of socially desirable responses due to employing self-reported data collection. Future research must take into consideration a larger population size, include qualitative data with open-ended questions to gather in-depth insights, and incorporate contextual cultural factors.