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  1. 1061

    不一樣的人生道路?STEM科系畢業生的薪資發展軌跡 Different Life Pathway: Earning Trajectory of the Graduates in STEM Majors by 張宜君 Yi-Chun Chang

    Published 2024-12-01
    “…It supplements the shortcomings of past studies on STEM education that mostly focused on gender issues or the issues of probability of “entering” STEM in high school, and examines the methodological limitations of using cross-sectional data. …”
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  2. 1062

    Klasifikasi Siswa Slow Learner untuk Mendukung Sekolah dalam Meningkatkan Pemahaman Siswa Menggunakan Algoritma Naïve Bayes by Abdul Harris Wicaksono, Ahmad Afif Supianto, Satrio Hadi Wijoyo, Didik Krisnandi, Ana Heryana

    Published 2022-06-01
    “…This study raised the case study of grade XI and XII students of Tunas Luhur High School which amounted to 89 students.  The study used naive bayes algorithms for classification and cross validation of 10 folds as a testing method. …”
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  3. 1063

    Pengembangan Gim Simulasi Kehidupan untuk Peningkatan Literasi Grafik Menggunakan Framework DPE by Erico Silitonga, Eriq Muhammad Adams Jonemaro, Muhammad Aminul Akbar

    Published 2023-12-01
    “…Based on a survey conducted by Tiro on 155 students at Makassar State University, it was found that the level of understanding of the concept of tables and graphs was only 43%, besides that, there was also research conducted by Mustain on 59 students who were in grade 8 junior high school, in his research, it was found that less than 15% of the 59 students had sufficient scores to get the Minimum Mastery Criteria score in learning graphics. …”
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  4. 1064

    Determinants of Dropout From a Virtual Agent–Based App for Insomnia Management in a Self-Selected Sample of Users With Insomnia Symptoms: Longitudinal Study by María Montserrat Sanchez Ortuño, Florian Pecune, Julien Coelho, Jean Arthur Micoulaud-Franchi, Nathalie Salles, Marc Auriacombe, Fuschia Serre, Yannick Levavasseur, Etienne De Sevin, Patricia Sagaspe, Pierre Philip

    Published 2025-01-01
    “…Younger age (adjusted odds ratio [AOR] 0.98, 95% CI 0.97‐0.99), lower education level (compared to middle school; high school: AOR 0.56, 95% CI 0.35‐0.90; bachelor’s degree: AOR 0.35, 95% CI 0.23‐0.52; master’s degree or higher: AOR 0.35, 95% CI 0.22‐0.55), poorer nocturnal sleep (sleep efficiency: AOR 0.64, 95% CI 0.42‐0.96; number of nocturnal awakenings: AOR 1.13, 95% CI 1.04‐1.23), and more severe depression symptoms (AOR 1.12, 95% CI 1.04‐1.21) were significant predictors of dropping out. …”
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