Showing 8,861 - 8,880 results of 64,951 for search '(((studenter* OR ((studentsser* OR studentsser*) OR studentsser*)) OR studentssser*) OR student*)', query time: 0.37s Refine Results
  1. 8861
  2. 8862

    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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  3. 8863
  4. 8864

    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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  5. 8865
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  8. 8868

    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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  9. 8869

    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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  13. 8873

    Development of a Student Depression Prediction Model Based on Machine Learning with Algorithm Performance Evaluation by Penni Wintasari Simarmata, Putri Taqwa Prasetyaningrum

    Published 2025-06-01
    “…This research explores the implementation of machine learning to predict depression among university students using a dataset of 2.028 responses containing PHQ-9 scores and academic-demographic attributes. …”
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  14. 8874

    Formation of Professional Language Competence of Foreign Students in the Process of Teaching Architectural and Urban Terminology in the Lessons of Russian Language by M. A. Grigorieva, R. S. Satretdinova

    Published 2018-08-01
    “…Methods of teaching foreign students of architectural direction of special vocabulary of the studied disciplines is proposed. …”
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  15. 8875

    Analysis of Problem of Perceiving and Understanding Literary Texts by Philology Students by Інна Хижняк, Назар Ляшов

    Published 2019-11-01
    Subjects: “…literary text, perceiving a text, understanding a text, subtext, motive, philology students.…”
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  16. 8876

    EFL students’ perceptions of interactive slides (Pear Deck) in blended and online flipped classrooms by Kiki Juli Anggoro, Damar Isti Pratiwi

    Published 2025-01-01
    “…A total of 490 students from a public university in Thailand participated, with 258 enrolled in online English lessons and 232 in face-to-face courses. …”
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  17. 8877
  18. 8878

    Analysis of student motivation towards body expression through the use of formative and share assessment (Análisis de la motivación del alumnado hacia la expresión corporal a través del uso de la evaluación formativa y compartida) by Daniel Bores-García, David Hortigüela-Alcalá, Alejandra Hernando-Garijo, Gustavo González-Calvo

    Published 2021-04-01
    “…Students being able to choose their own teams, the greater amount of freedom that the creative methodology offers them, the permanent knowledge of what is demanded from the student, the playful aspect of the contents, and the provision of feedback are some of the factors that influence increased motivation and commitment levels from students. …”
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