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  • Некоторые метрики заблокированы вашими 
    Тип записи:Публикация,
    Fostering critical thinking in learning outcomes of Kazakhstan initial teacher education
    (Frontiers Media, 2025-06-13)
    The integration of critical thinking into initial teacher education programs is crucial to achieving the United Nations' Sustainable Development Goals, particularly SDG 4, as teachers play a pivotal role in fostering this essential competency. This study employs computer algorithms to analyze how Kazakhstani educational program developers incorporate critical thinking into learning outcomes. The data sources include Russian-language versions of all active bachelor's degree teacher education programs in Kazakhstan. A first-in-kind mapping was constructed linking Russian verbs to Bloom's Taxonomy cognitive skill levels for this analysis. The methodological approach utilizing automated verb frequency analysis offers a practical tool not only for initial evaluation but also for ongoing, repeatable assessments of curricula. The findings indicate that while direct mentions of “critical thinking” are present, and some higher-order thinking skill verbs are utilized, critical thinking remains modestly integrated into learning outcomes.
    Цитирования (OpenAlex) 2Цитирования (OpenCitations) 1
  • Некоторые метрики заблокированы вашими 
    Тип записи:Публикация,
    Information competence and critical thinking in digital environments evidence from university students in Kazakhstan
    (Frontiers Media, 2026-04-24)
    Nurgul Yrymbayeva
    ;
    Moldir Yermekova
    ;
    Oryntay Tezekova
    ;
    Bakytgul B. Issatayeva
    ;
    The rapid expansion of digital platforms and generative artificial intelligence has reshaped how university students access and evaluate academic information, intensifying concerns about information reliability, critical thinking, and ethical use. This study addresses the gap between students’ widespread access to digital information and their capacity to critically evaluate and responsibly use it in academic contexts, particularly in underrepresented settings such as Kazakhstan. A sequential mixed-methods design (QUAL → quan) was employed. Qualitative data explored students’ information-seeking practices, credibility judgments, responses to conflicting information, perceptions of AI-related risks, and views on institutional support. The sample consisted of 77 undergraduate students enrolled in teacher education-related programs at a university in Kazakhstan. The findings showed a clear hierarchy of search entry points: students most often began with Google Search ( n = 30), followed by university databases/library portals ( n = 16) and AI tools ( n = 15). Clear author credentials ( n = 49) and transparent methods or data ( n = 25) emerged as the strongest trust indicators. When using AI, students reported predominantly supportive uses, especially summarizing checked readings ( n = 58) and generating ideas or outlines ( n = 52), rather than relying on AI as a primary source. These patterns indicate that students’ engagement with generative AI is characterized by conditional trust, pragmatic usefulness, and uneven but developing evaluative awareness. The study contributes context-specific evidence from Kazakhstan to the emerging literature on student engagement with generative AI and suggests that higher education institutions should integrate source evaluation, critical reasoning, and AI literacy more explicitly into curriculum, pedagogy, and library support systems.
    Цитирования (OpenAlex) 2