Showing 50,141 - 50,160 results of 54,504 for search '(((((studentser* OR students*) OR studentssser*) OR studentssser*) OR studentssser*) OR student*)', query time: 0.44s Refine Results
  1. 50141

    The Exhaustion Triangle: How Psychosocial Risks, Engagement, and Burnout Impact Workplace Well-Being by Raquel Lara-Moreno, Adelaida Irene Ogallar-Blanco, Nancy Guzmán-Raya, María Luisa Vázquez-Pérez

    Published 2025-03-01
    “…The instruments used included the Burnout Syndrome Scale (Maslach Burnout Inventory—Student Survey -MBI-SS-), the DECORE multidimensional questionnaire, the Utrecht Work Engagement Scale (UWES), and the General Work Well-Being Questionnaire (qBLG). …”
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  2. 50142
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  4. 50144

    Protocol for Conducting Scoping Review on Reliability and Validity of Low-Stakes Assessments in Medical Education [version 1; peer review: 2 approved] by Lambert Schuwirth, Carvalho Filho, Susan Waller, Imran Zafar, Mohi Eldin Magzoub

    Published 2024-11-01
    “…While LSAs are recognized for their role in supporting student learning, questions remain about their reliability and validity. …”
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  5. 50145
  6. 50146

    Leveraging Emerging Technology to Design an Inclusive Future with Universal Design for Learning by Don Douglas McMahon, Zachary Walker

    Published 2019-09-01
    “…Finally, based on information gained from experience in providing professional development, school level implementation, individual student interventions and teacher focus groups, we offer some recommendations for practice. …”
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  7. 50147

    Correlation between predominantly subclinical peripheral arterial disease in patients with ischemic stroke: A study using ankle–brachial index from rural eastern India by Gautam Das, Prashant Potdar, Ritwik Ghosh, Souvik Dubey, Biman Kanti Ray, Pedro J Modrego

    Published 2022-05-01
    “…Statistical Analysis: For continuous variables, analysis of variance was used to compare three or more groups of patients and Student's t-test for two groups. Chi-square test or Fisher's exact test was used for categorical variables. …”
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  8. 50148
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  11. 50151

    FUNCIONES DISCRIMINANTES PARA LA ESTIMACIÓN DEL SEXO A PARTIR DEL HÚMERO EN EUROPOIDES CUBANOS by Dodany Machado Mendoza, Lois Angel Urgellés Navarro

    Published 2011-10-01
    “…Se tomaron 12 mediciones y con estas variables se realizó la prueba t de Student y se encontró que existían diferencias muy significativas (p <.01) para todas las variables analizadas. …”
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  12. 50152

    ASSOCIAÇÃO ENTRE NÍVEL DE ATIVIDADE FÍSICA E PERFIL BIOQUÍMICO DE NIPO-BRASILEIROS by Julio Mizuno, Henrique L. Monteiro, Clara S. C. Rosa, Flaviani A. G. P. Papaléo, Antonio R. Doro, Moema K. Bueno

    Published 2012-09-01
    “…Os indivíduos foram categorizados de acordo com o InternationalPhysical Activity Questionnaire (IPAQ) em baixa AF (GB), AF moderada (GM) e AF vigorosa (GV).Foram dosadas as concentrações plasmáticas de colesterol total (CT), LDL-colesterol (LDL-C),HDL-colesterol (HDL-C), triglicerídeos (TG), glicemia de jejum (GJ) e realizada avaliação antropométrica.Após verificar a normalidade dos dados (Kolmogorov-Smirnov), as variáveis foramcomparadas de acordo com o sexo (t de student) e entre os níveis de AF (ANOVA one way) eas associações entre os grupos e as alterações bioquímicas (qui-quadrado). …”
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  13. 50153

    Beyond the Whistle: Mapping Global Trends in Physical Education Teaching Methods through Bibliometric Analysis by Jian Li, Seong Pek Lim

    Published 2025-07-01
    “…Focusing on the increasing importance of new pedagogies that incorporate technology, inclusivity, and student-centered approaches, this bibliometric study examines the development and current trends in physical education (PE) teaching methods from 2020 to 2024. …”
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  16. 50156

    À propos d’une œuvre promise à la disparition de Claire Pentecost by Claire Valageas, Chloé Barle

    Published 2024-10-01
    “…This conservation-restoration project for Proposal for a New American Agriculture by Claire Pentecost, conducted in 2021-2022, fostered interdisciplinary dialogue between Claire Valageas (49 Nord 6 Est - Frac Lorraine), Chloé Barle (a student in textile arts conservation-restoration), and the artist herself. …”
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  17. 50157

    Konstanty Grzybowski i jego uczniowie by Henryk Olszewski

    Published 1996-12-01
    “…Możliwość bliższego poznania Konstantego Grzybowskiego uzyskałem dopiero w końcowej dekadzie jego życia, na początku lat sześćdziesiątych: był u szczytu naukowej sławy; jego ostatnie monografie i zbiory esejów — intelektualnie przenikliwe i prowokujące — uchodziły za niekwestionowane bestsellery, jego wykłady ściągały komplety studentów. Na Konstantego Grzybowskiego kierowały się spojrzenia i życzliwa uwaga szerokich kręgów inteligencji polskiej, zafascynowanej jego wypowiedziami w prasie, radiu czy telewizji. …”
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  18. 50158

    Challenges and Applications of Artificial Intelligence in Education: A Systematic Review by Saeid Arifnejad, Asadolah khadivi, Farhad Alipour

    Published 2024-12-01
    “…However, these applications face significant challenges, including over-reliance and passivity, algorithmic bias, ethical and security concerns, threats to teachers' mental well-being, and technical and specialized constraints.Conclusion: AI has the potential to revolutionize education by enabling personalized learning experiences, enhancing student engagement, and providing real-time feedback. …”
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  19. 50159
  20. 50160

    Comparing raw score difference, multilevel modeling, and structural equation modeling methods for estimating discrepancy in dyads by Amber McEnturff, Qi Chen, Robin K. Henson, Ryan Glaman, Wen Luo

    Published 2025-06-01
    “…IntroductionDyadic data analysis is commonly used in psychological research involving pairs of individuals in a nested relationship, such as parent and child, student and teacher, and pairs of spouses. There are several methods for calculating dyadic discrepancy (i.e., difference) scores, and purpose of the present study was to explore which of these methods produced the most accurate discrepancy estimates and most accurate outcome prediction.MethodsUsing a Monte Carlo simulation, the present study compared three methods for estimating discrepancy scores in dyad pairs: raw score difference (RSD), empirical Bayes estimates from multilevel modeling (MLM), and factor scores from structural equation modeling (SEM). …”
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