Қазақ ұлттық қыздар педагогикалық университеті / Казахский национальный женский педагогический университет
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- Некоторые метрики заблокированы вашиминастройками согласия
Тип записи:Публикация, Parental reflexivity and latent psychological violence among urban parents in Kazakhstan and Kyrgyzstan: an exploratory study(Frontiers Media, 2026-09-30); ; ; Marhabbat NurovIntroduction Parental reflective functioning (PRF) has been associated with less harmful parenting behavior and a lower likelihood of intergenerational continuity of violence. However, little is known about whether the association between parental reflexivity and psychologically harmful parenting differs between fathers and mothers in Central Asia. This study examined parental reflexivity, measured using A. V. Karpov’s Reflexivity Scale as an operational proxy for PRF, and its association with latent psychological violence among urban parents in Kazakhstan and Kyrgyzstan. Methods A cross-sectional multi-city study was conducted in Almaty, Shymkent, Turkestan, and Bishkek. The analytical sample ( N = 400), drawn from a larger dataset ( n = 500), included 158 fathers and 242 mothers. Measures included reflexivity, aggression, empathy, latent psychological violence (ILV), uyat intensity, and family-of-origin violence. Analyses comprised parent-group-specific regressions, bootstrap coefficient comparisons, hierarchical moderation models with a PRF × parent-group interaction, and robustness analyses using recruitment-site fixed effects, robust standard errors, the full sample, parent-group weighting, and additional family-context covariates. Results Reflexivity was strongly inversely associated with latent psychological violence in both parent groups. The PRF–ILV slope was descriptively steeper among fathers than mothers ( b = −0.900, R 2 = 0.485 vs. b = −0.779, R 2 = 0.417), but the difference was not statistically significant ( z = −1.27, p = 0.204; 95% bootstrap CI [−0.320, 0.067]). The PRF × parent-group interaction was also nonsignificant (Δ R 2 = 0.002, p = 0.201). Among highly reflective parents with family-of-origin violence, none of five fathers met the exploratory high-ILV threshold (ILV ≥ 70), compared with 1 of 7 mothers; this difference was nonsignificant ( p = 1.000). Family-of-origin violence was associated with lower reflexivity among both fathers ( d = 0.64) and mothers ( d = 0.74). Discussion Parental reflexivity showed a robust inverse association with latent psychological violence, but formal analyses provided no evidence that this association differed between fathers and mothers. The descriptively steeper father association should therefore be regarded as hypothesis-generating rather than as evidence of a father-specific effect. These findings support further longitudinal and intervention research in urban Central Asian populations. - Некоторые метрики заблокированы вашиминастройками согласия
Тип записи:Публикация, Bulletin WKU(2025-04-14)ГЕОГРАФИЯДАН ӨТІЛЕТІН «ЖАСЫЛ ЭНЕРГИЯ КӨЗДЕРІ» ТАҚЫРЫБЫН ПРОБЛЕМАЛЫҚ ОҚЫТУ ТЕХНОЛОГИЯСЫ АРҚЫЛЫ ҚАРАСТЫРУ Аңдатпа.Мақалада білім алушылардың География пәнінен оқылатын «жасыл энергия көздері» түсінігі, проблемалық оқыту технологиясы арқылы қарастырылып отыр.Атап айтқанда күн мен желден алынатын энергиялардың Қазақстандағы жағдайы мен ерекшеліктері қарастырылған.Ал бұл баламалы энергия көздері осы кездері біздің елдің ғана емес жүниежүзілік елдер деңгейіндегі көкейтесті мәселелерінің бірі болып отыр.Және «Баламалы энергия» көздері табиғи ресурстарды үнемі тұтынудың мүмкіндігі болмаған жағдайда сарқылмайтын энергия көзі ретінде тиімді пайдалануға бағытталған.Жасыл экономиканы дамыту, экологиялық дағдарысты болдырмаудың бірден бір жолы.Жердегі табиғи жасыл энергияның негізгі көзітаусылмайтын энергия қорлары -Жел мен Күн.Және Қазақстан кремнийге бай болғандықтан жаңа технологиялар көмегімен, фотоэлектрлік модульдер өндіру қолға алынуда.Астанада фотоэлектрлік модульдер шығаратын «Astana Solar» зауыты Қазақстандық кремнийден күн батареяларын шығаруды қатты қолға алуда.Аталған энергия көздерінің адамзат тіршілігі үшін өте маңыздысырадиоактивті заттар шығармауында.2013 ж.Мемлекет басшысының Жарлығымен Қазақстанның «жасыл» экономикаға көшу тұжырымдамасы қабылданды.2020 ж. дейінгі қысқа және 2030-2050 жылдарға дейінгі ұзақ мерзімді тұжырымдамада болашақта дамытатын индикаторлар қажеттігі көрсетілген.Демек, жасыл немесе жаңартылған энергия негізінде дамитынелдің табиғатын жақсартуға, жаңартуға үлес қосатын, зиян келтірмеуге бағытталған жаңа технологиялардың қажеттілігі.Осы орайда, білім алушылардың танымдық әрекетін қалыптастыру мақсатында, берілген тапсырмаларпроблемалық технологиялар арқылы оқытудың жеке, топтық жолдары арқылы ұйымдастырылған. - Некоторые метрики заблокированы вашиминастройками согласия
Тип записи:Публикация, - Некоторые метрики заблокированы вашиминастройками согласия
Тип записи:Публикация, Вестник ЗКУ(2026-07-24); This study comprehensively examines contemporary issues in predicting topographic elevation through the integration of Geographic Information Systems (GIS) and Machine Learning algorithms. Currently, the development of high-precision Digital Elevation Models (DEM) for the territory of Kazakhstan is of paramount importance. This is primarily due to the unique geomorphological complexity of the country; the Kazakh landscape, ranging from the Caspian depressions to the high-altitude systems of the Tien Shan and Altai, poses a significantly challenge for any mathematical model. From a practical standpoint, such natural heterogeneity significantly reduces the effectiveness of classical geostatistical interpolation methods, such as Kriging or Inverse Distance Weighting (IDW). Standard approaches often fail to account for sharp topographic gradients, leading to substantial errors. To address these shortcomings, this research employs modern data-driven approaches. The subject of the study is the process of regression forecasting of elevation points by integrating spatial data from GIS platforms into machine learning models. The primary objective is to identify the most optimal model adapted to the specific characteristics of the local terrain. To this end, three different architectures were tested: Random Forest, Gradient Boosting, and Artificial Neural Networks (ANN). In the initial stage, GIS data underwent preprocessing and normalizations, after which the predictive capacity of each model was compared against actual measurement points. The results indicated that machine learning methods provide 20-35% higher accuracy compared to traditional techniques. During the comparative analysis, the Random Forest model datasets. This model allowed for a more accurate description of local terrain fluctuations. In conclusion, the proposed methodology paves the way for elevating digital cartography in Kazakhstan to a qualitatively new level. It is recommended to implement these research findings in geodetic design, hydrological modeling, environmental monitoring, and state systems for transformation aimed at the efficient use of the country`s land resources. - Некоторые метрики заблокированы вашиминастройками согласия
Тип записи:Публикация, Exploring IT Graduates' Career Readiness: Courses, Internships, and Industry Alignment(2025-05-14); This quantitative study was conducted with graduates of the Information Technology department from different universities in Kazakhstan. The purpose of this research is to explore the experiences of graduates outside their academic education, such as courses, internships, or professional experience. Also, this paper presented information about IT graduates' preferences about IT fields and opinions on the compliance of education with the job market's needs. Besides, correlational analysis and independent sample t-tests were conducted to check the correlation and relationship between indicators. Results show that online courses are more popular among students, and more graduates have no internships or job experience than graduates who have. Regarding preferred IT areas, they defined popular directions for graduates, but about one-fifth want to leave the IT industry. Correlation analysis showed a positive moderate correlation between internships and experience and between chosen field and opinion about education accordance level. Independent sample t-tests showed that there are differences in graduates' internships and job experiences in different regions. - Некоторые метрики заблокированы вашиминастройками согласия
Тип записи:Публикация, - Некоторые метрики заблокированы вашиминастройками согласия
Тип записи:Публикация, Women in Leadership in Education in Kyrgyzstan and Kazakhstan(2025-01-01); Abstract This paper summarizes the results of a study that explored the experiences of female leaders in Central Asian academia using empirical data from Kazakhstan and Kyrgyzstan. The study uses a comprehensive theoretical framework combining Human Capital, Gender Role, Gendered Organization, Professionalization, and Intersectionality perspectives, derived from prior research on the topic. It relies on qualitative phenomenological case study design analyzing data from 30 semi-structured interviews with women leaders from the two countries. The study reveals the relevance of Institutional theory to complement the theoretical framework arising from prior research. Implications of the results of the study are discussed in terms of their relevance for global research on the topic and for domestic policies aimed at promoting the representation and advancement of women in the labor force and leadership in particular.Цитирования (OpenAlex) 3Цитирования (OpenCitations) 2 - Некоторые метрики заблокированы вашиминастройками согласия
Тип записи:Публикация, Understanding Barriers and Supports for Women’s Progression in STEM in Kazakhstan(2025-01-01)Abstract Based on the theoretical taxonomy of supports and barriers and Social Cognitive Career theory, this chapter contributes to the existing literature on STEM women’s pathways by qualitatively examining environmental supports and barriers that girls and women experience in all developmental stages, from childhood to professional life. The overarching purpose of this chapter is to synthesize and summarize the multidimensional barriers that affect, impede, or prevent girls and women from choosing STEM educational/career trajectories and the supports that facilitate their advancement and retention in STEM career trajectories across three developmental stages: childhood, adolescence (high school and university study), and adulthood (professional life). A core finding from this study is that women are strongly dependent on external social agents, such as parents, teachers, peers, employers, and spouses, in all developmental stages, who can play a dual role, either supporting the girls’ and young women’s interest in STEM and providing mentorship or discouraging them from being engaged with STEM.Цитирования (OpenAlex) 6Цитирования (OpenCitations) 4 - Некоторые метрики заблокированы вашиминастройками согласия
Тип записи:Публикация, Formation of financial literacy of primary school students based on digital content(2025-01-01); ; ; E.N. AitzhanovaThe article explores the formation of financial literacy among primary school students through digital content, emphasizing its importance in addressing global socio-economic challenges such as debt dependency and low economic awareness. The authors argue that early financial education forms the foundation of responsible economic culture and civic maturity. The study draws upon Kazakhstan’s national policies (“Concept for Improving Financial Literacy 2020–2025,” “Concept for Digital Transformation 2023–2029”) and international recommendations from the OECD. Using surveys, pedagogical analysis, and comparative methods, the research involved 172 primary school teachers in the Kostanay region. Results revealed a lack of digital learning materials and specific educational programs for financial literacy development. In response, the authors designed an elective university course titled “Formation of Financial Literacy of Primary School Students,” incorporating digital textbooks, teacher guides, and multimedia assignments. The article highlights three structural components of financial literacy: Cognitive – knowledge of financial principles; Activity-based – practical skills in budgeting, saving, and spending; Value-motivational – responsibility, independence, and ethical behavior. The research concludes that digital educational content — including interactive games, videos, AR storybooks, and online platforms — significantly enhances students’ engagement and financial competence. The study’s novelty lies in the creation of a theoretically grounded, methodologically coherent digital model for financial literacy formation in primary education, promoting the integration of digital pedagogy and financial education for sustainable learning outcomes. - Некоторые метрики заблокированы вашиминастройками согласия
Тип записи:Публикация, The influence of television and gadgets on children's speech development: a social study(L. N. Gumilyov Eurasian National University, 2025-01-01); Nurlyaiym DanayevaThis article explores the impact of television on children's language development and analyzes linguistic shortcomings observed in television programs. To identify the main issues, the authors conducted a large-scale survey covering all regions of the Republic of Kazakhstan and analyzed the results comprehensively. Based on the respondents' answers, the study identified the main challenges in language development and drew conclusions based on scientific approaches. The survey addressed several aspects: the influence of the language used in children's television programs on their speech development, the level of children's proficiency in the Kazakh language, the conformity of media language with linguistic norms, common language deviations in children's speech, and the amount of screen time. The findings demonstrate the need to enhance mechanisms aimed at preserving linguistic norms and fostering a generation fluent in the Kazakh language, especially in the context of growing influence from television and internet media. A total of 622 individuals participated in the survey. The sociolinguistic analysis of the collected data made it possible to track the dynamics of lexical deviations in children's language use. The study, which covered various demographic and geographical groups, revealed how social factors – particularly television dependence – affect lexical changes in children's speech. The research confirms the critical role of parents in laying the foundation of the native (Kazakh) language and highlights the significant influence of the surrounding environment, especially television, on children’s adherence to linguistic norms. The survey was conducted in Kazakh using open-ended questions, and data collection spanned three months. The article analyzes the impact of television and gadgets on children's language development and provides recommendations for implementing public initiatives in the cultural and linguistic direction.