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    A Multi-Country Statistical Analysis Covering Turkey, Slovakia, and Romania in an Educational Framework
    (Mdpi, 2023) Pekdogan, Tugce; Udristioiu, Mihaela Tinca; Puiu, Silvia; Yildizhan, Hasan; Hruska, Martin
    This paper uses hierarchical regression analysis, a statistically robust method, to explore the correlations between two meteorological parameters and three particulate matter concentrations. The dataset is provided by six sensors located in three cities from three countries, and the measurements were taken simultaneously for three months at each minute. Analyses and calculations were performed with the Statistical Package for the Social Sciences (SPSS). The results underscore that the complexity of air pollution dynamics is affected by the location even when the same type of sensors is used, and emphasize that a one-size-fits-all approach cannot effectively address air pollution. The findings are helpful from three perspectives: for education, to show how to handle and communicate a solution for local communities' issues about air pollution; for research, to understand how easy a university can generate and analyze open-source data; and for policymakers, to design targeted interventions addressing each country's challenges.
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    Students' Well-Being and Academic Engagement: A Multivariate Analysis of the Influencing Factors
    (Mdpi, 2024) Puiu, Silvia; Udristioiu, Mihaela Tinca; Petrisor, Iulian; Yilmaz, Sidika Ece; Pfefferova, Miriam Spodniakova; Raykova, Zhelyazka; Yildizhan, Hasan
    This paper aims to identify the factors that are positively or negatively impacting students' well-being and their academic engagement. We used partial least-squares structural equation modeling (PLS-SEM) using the data collected through a questionnaire from four countries: Romania, Turkey, Slovakia, and Bulgaria. The model includes seven factors that influence the well-being of students and indirectly their academic engagement: stressors in the students' lives; professors' support; social support from family and friends; the students' perceived satisfaction in their lives; engaging in activities during their leisure time; self-exploration regarding their careers; and environmental exploration regarding their careers. The results show that all factors, except for stressors and environmental exploration regarding their careers, positively influence the students' well-being and thus their academic engagement. These findings are useful for university professors and managers in better organizing activities to increase academic performance.