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  1. 6121

    Analysis of HOT Content in the Integrated Thematic Students’ and Teachers’ Handbook of the 2013 Curriculum by Tiyas Arifin, Ali Mustadi, Heri Maria Zulfiati, Anang Fathoni

    Published 2023-04-01
    “…In the creation aspect, most students are commanded to be creative to solve the problem. …”
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  2. 6122
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    The causal model predicting academic engagement based on problem-solving skills, mediated by academic self-concept, in female high school students. by Hossein Aflakifard, mohammad ghalehnooei, Zakiyeh Fatahi

    Published 2024-04-01
    “…The population of this research included all female high school students in Marvdasht during the academic year 1401-1402. …”
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    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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  9. 6129

    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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    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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    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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  18. 6138

    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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