Showing 17,361 - 17,380 results of 19,723 for search '((((students* OR studentssser*) OR studentsssser*) OR studentsssssssssser*) OR student*)', query time: 0.17s Refine Results
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    Timing matters! Academic assessment changes throughout the day by Carmelo M. Vicario, Michael A. Nitsche, Chiara Lucifora, Pietro Perconti, Mohammad A. Salehinejad, Mohammad A. Salehinejad, Mohammad A. Salehinejad, Francesco Tomaiuolo, Simona Massimino, Alessio Avenanti, Alessio Avenanti, Massimo Mucciardi

    Published 2025-07-01
    “…These results have profound implications for educational policy and practice, highlighting the need for strategic exam scheduling to optimize student performance and ensure equitable evaluation.…”
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    WAYS OF CREATIVE REALIZATION OF G. VASHCHENKO’S IDEAS ABOUT THE DEVELOPMENT OF WILL AND TEMPER IN THE PROCESS OF PHYSICAL EDUCATION IN THE PRACTICE OF A TEACHER OF PHYSICAL CULTURE... by Olena D. Hauriak, Antonina М. Bohdanyuk, Oksana М. Kyselytsia

    Published 2021-12-01
    “…According to the «Concept of education development for 2015-2025» (2015), «The concept of national-patriotic education of children and youth» (2015), according to the «Conceptual principles of secondary education reform» New Ukrainian School»» (2016), one of the strategic tasks of teaching and educating student youth is the formation of a free, spiritually developed personality, and the priority of education, including physical education, is the education of a strong-willed, courageous personality capable of self-development and self-improvement. …”
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    Optimization of multi-objective feature regression models for designing performance assessment methods in college and university educational reform by Fengjun Qi, Zhenping Liu, Wenzheng Zhang, Zhenjie Sun

    Published 2025-06-01
    “…Experimental evaluations on three datasets—Education Reform (EDU-REFORM), Programme for International Student Assessment (PISA), and National Assessment of Educational Progress (NAEP)—demonstrate the superior performance of MOFR-LSF, achieving relative root mean square error (RRMSE) values of 0.634, 0.332, and 0.925, respectively, outperforming existing multi-objective regression algorithms. …”
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  8. 17368

    Youth Data Visualization Practices: Rhetoric, Art, and Design by Joy G. Bertling, Lynn Hodge

    Published 2025-06-01
    “…We drew upon embodied theory to acknowledge the holistic, synergistic, and situated nature of student learning and making. Corresponding with emerging accounts of youth arts-based data visualization practices, we saw regular evidence of art, storytelling, and personal subjectivities intertwining. …”
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    Estudo radiográfico da densidade óssea relativa da região retromolar em pixels e milímetros equivalentes de alumínio by Soraya de Azambuja Berti, Paulo Henrique Couto Souza, Fernando Henrique Westphalen, Ana Lúcia Tolazzi, Sérgio Aparecido Ignácio

    Published 2006-03-01
    “…A análise dos resultados, pelo teste estatístico T de Student, mostrou valores semelhantes entre a densidade óssea da região retromolar e o degrau de número 16 da escala de alumínio (p>0,05). …”
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    Item analysis of the role of teachers in efforts to prevent the three great sins of education with rasch modeling by Muhammad Andrian, Suratno Martodiryo, Muhammad Rahmattullah, Mahmudah Hasanah

    Published 2024-06-01
    “…So, it can be concluded that the instrument is qualified and can be used as material to measure the role of teachers in cultivating student character values in schools.…”
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    How can the left atrial strain be correctly determined by cardiovascular magnetic resonance feature tracking? by Rehsan Akkuzu, Hermann Körperich, Niroshan Shanmugarajah, Tobias Rossnagel, Oliver M. Weber, Christian Stehning, Wolfgang Burchert, Jan Eckstein

    Published 2025-03-01
    “…Strain analysis was performed using CVI42® software. Paired Student's t-test or Wilcoxon test and Bland Altman statistics were used to evaluate differences between both planning procedures.ResultsIndexed maximum, minimum LA volumes and LA volumes before atrial contraction were significantly elevated for optimized planning compared to standard planning (P < 0.001). …”
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