Showing 19,101 - 19,120 results of 20,419 for search '((((students* OR studentsser*) OR studentsssssser*) OR studentsssssssssssssssser*) OR student*)', query time: 0.19s Refine Results
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    Application of a digital footprint of educational intelligent technologies by L. Sh. Bagdasaryan, A. H. Ardeev, T. A. Kulikova, N. A. Poddubnaya

    Published 2024-06-01
    “…The paper specifies the educational process based on the analysis of the digital footprint, as well as the possibility of using the data of the digital footprint of AI systems to solve problems of optimizing educational activities, including the correction of student and teacher activities. As an example of AI technology application, an educational chatbot with the function of collecting data on the reflection of educational activities is presented.Conclusion. …”
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    Article
  4. 19104

    Reflective Practice: Perceived Expectations of Parental Involvement in Underserved and Under-resourced Communities and the Development of Viable Strategies and Partnerships by Fatima Mansur

    Published 2019-11-01
    “… This paper explores the concept of school and community partnerships and their impact on positive student outcomes. My primary focus as a reflective practitioner was to examine the role of parents in this school–community dynamic. …”
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    Article
  5. 19105

    Simulation-based Assessment In Higher Education: Adapting To The Era Of Artificial Intelligence by Laura Angelini, Rut Muñiz, Roberta Diamanti

    Published 2025-05-01
    “…This approach offers insights into alternative assessment methodologies that can effectively evaluate student authorship and knowledge while harnessing the advantages of AI in educational settings. …”
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    PREDICTIVE VALUE OF ERYTHROCYTE ANISOTROPY COEFFICIENT IN PATIENTS HOSPITALIZED FOR ACUTELY DECOMPENSATED CHRONIC HEART FAILURE by V. A. Kostenko, M. Yu. Sitnikova, Е. A. Skorodumova, Е. G. Skorodumova, A. N. Fedorov

    Published 2017-12-01
    “…In aspect of the adverse outcome, group comparison with T-criteria by Student was 6,9 (p=0,0001). There was direct correlation of average strength between hemoglobin contents (r=0,53, р<0,05), creatinine (r=0,55, р<0,05) and С-reactive protein (CRP) (r=0,35; р>0,05), negative correlation for EFLV (r=-0,54, p<0,05) with RDW-SD.Conclusion. …”
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  11. 19111

    Global Structural Knowledge Distillation for Semantic Segmentation by Hyejin Park, Keonhee Ahn, Hyesong Choi, Dongbo Min

    Published 2025-01-01
    “…Knowledge distillation (KD) has become a cornerstone for compressing deep neural networks, allowing a smaller student model to learn from a larger teacher model. …”
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  12. 19112

    Borrowing in Visual Art Works: Aspects of Attitude Formation in the Educational Environment by Світлана Борисова

    Published 2023-09-01
    “…The article proposes recommendations for preventing visual plagiarism in creative student projects, which can be applied by teachers in educational and methodological activities. …”
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    Predicting depressive symptoms through social support: a machine learning approach in military populations by Kun-Huang Chen, Pao-Lung Chiu, Ming-Hsuan Chen

    Published 2025-12-01
    “…Feature importance analyses using the Gini index indicated that different support sources (e.g. leader, peer, senior student) played varying roles across subgroups.Conclusions: Machine learning approaches demonstrate high AUPRC in predicting depressive symptoms and reveal nuanced subgroup patterns in perceived social support needs. …”
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  17. 19117

    The Intersection of Race, Data, and Learning: Applying QuantCrit to Mathematics Education Research by Jamaal Young, Jemimah Young, Kristian Edosomwan

    Published 2025-03-01
    “…By applying QuantCrit, researchers can uncover how structural barriers shape student outcomes and reframe assessment practices to better support historically marginalized learners. …”
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    Perfil clínico dos pacientes suspeitos e confirmados de sepse admitidos em uma unidade de emergência by Ana Laura Mendes Campoi, Angelita Maria Stabile

    Published 2024-12-01
    “…Análise estatística descritiva e inferencial (testes t-student e Mann-Whitney), com nível de significância de 5%. …”
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