Showing 8,861 - 8,880 results of 64,951 for search '(((studenter* OR ((studentser* OR studentsser*) OR studentsser*)) OR studentsssser*) OR student*)', query time: 0.38s Refine Results
  1. 8861
  2. 8862

    Verbal Learning Style as the Least Preferred Learning Style of Students in an Asian Country by Samuel S. Poliden

    Published 2016-06-01
    “…Hence, the study aimed to determine the learning styles of freshmen students in the language class at Benguet State University, Philippines. …”
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  3. 8863

    Importance of Emotional Competence in Designing an Antidrug Education Curriculum for Junior Secondary School Students in Hong Kong by Ben M. F. Law, Tak Yan Lee

    Published 2011-01-01
    “…Antidrug education campaigns should aim at enhancing students' understanding of the effects of illegal drugs to themselves. …”
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  4. 8864
  5. 8865

    Artificial Intelligence Technology for Assessing the Practical Knowledge of Air Traffic Controller Students Based on Their Responses in Multitasking Situations by Matej Antoško, Volodymyr Polishchuk, Martin Kelemen, Anton Korniienko, Miroslav Kelemen

    Published 2024-12-01
    “…The result of the conducted research was used for the software design for the practical application in the flight training of ATCo students.…”
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  6. 8866

    Students’ perception about the aspects that support learning in the Medicine career by Rodolfo Javier Rivero Morey, Lya del Rosario Magariño Abreus, Jeisy Rivero Morey, Mabel Rocha Vázquez

    Published 2023-02-01
    “…The studied universe was 1580 students from the Cienfuegos University of Medical Sciences’ Medicine career. …”
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  7. 8867
  8. 8868
  9. 8869

    The Correlation between the Self-Image and the Mentor Image of Students in the Context of Professional Self-Determination by D.A. Krasilo, K.Yu. Repesciuc

    Published 2025-02-01
    “… <p>The research focuses on clarifying the concept of the image of the Self as a subject of professional self-determination and its functions in the educational and professional activities of psychology students. The article presents empirical data obtained from a sample of 76 psychology students, including students of the1st and 2<sup>nd</sup> years (N=45) and students of the 3<sup>rd</sup> and 4th years of Taras Shevchenko National University of Tiraspol (N=31). …”
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  10. 8870
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  12. 8872

    Ways of Engaging First-Year Students in Discussions Through Small Group Work by Olha Bilyk, Iryna Malyshivska, Nataliia Pyliachyk

    Published 2023-04-01
    “…The purpose of them was to find out students’ attitudes toward this kind of work before and after the experiment. …”
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  13. 8873
  14. 8874

    Effects of 3D Bone Models on Anatomy Education: Student Survey by Betül Sevindik, Nadire Ünver Doğan, Mustafa Koplay, İsmail Kapurtu, Mehmet Cengiz Tatar, Büşra Pirinç, Ekrem Solmaz

    Published 2024-06-01
    “…The number of students who found two-dimensional atlases useful was 198, while the number of students who found 3D models useful was 231. …”
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  18. 8878

    Investigation of Success Levels of Visual Arts Students in Computer-Aided Design Course by Mehmet Remzi Demirel

    Published 2024-06-01
    “…For this purpose, the data obtained from 42 students were analysed with Mann Whitney U Test. Although it was concluded that male students were more successful than female students in terms of end-of-semester scores according to the gender variable, it was understood that this was not statistically significant. …”
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  19. 8879

    Interactive Mitigation of Biases in Machine Learning Models for Undergraduate Student Admissions by Kelly Van Busum, Shiaofen Fang

    Published 2025-07-01
    “…Because these issues are intrinsically subjective and context-dependent, creating trustworthy software requires human input and feedback. (1) Introduction: This work introduces an interactive method for mitigating the bias introduced by machine learning models by allowing the user to adjust bias and fairness metrics iteratively to make the model more fair in the context of undergraduate student admissions. (2) Related Work: The social implications of bias in AI systems used in education are nuanced and can affect university reputation and student retention rates motivating a need for the development of fair AI systems. (3) Methods and Dataset: Admissions data over six years from a large urban research university was used to create AI models to predict admissions decisions. …”
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  20. 8880