Showing 24,681 - 24,700 results of 29,969 for search '((((studenter* OR student*) OR studentser*) OR (studentser* OR studentssser*)) OR students*)', query time: 0.22s Refine Results
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    Collaborative Writing on Descriptive Text: Creativity and Engagement by Elga Farah Andanty, Agus Sholeh, Siti Mafulah

    Published 2025-06-01
    “…This study highlights the potential of Collaborative Writing as a means to improve student creativity and engagement in descriptive text learning in junior high schools.…”
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  5. 24685

    CAFiKS: Communication-Aware Federated IDS With Knowledge Sharing for Secure IoT Connectivity by Ogobuchi Daniel Okey, Demostenes Zegarra Rodriguez, Frederico Gadelha Guimaraes, Joao Henrique Kleinschmidt

    Published 2025-01-01
    “…Specifically, CAFiKS leverages knowledge distillation (KD), where a high-capacity teacher model trains a smaller, more efficient student model by transferring essential knowledge. …”
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  6. 24686

    A Neuropsychological Intervention Study of Intellectual Activity in an Adolescent with Autism Spectrum Disorder by Lenia E. Meza-Salcido, Omar E. Torrado-Duarte, Yulia Solovieva

    Published 2025-06-01
    “…Study Participants. A 12-year-old, male student with delays in language acquisition and socialisation, as well as psychomotor challenges. …”
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    Kako poučevati verzologijo: silabotonična metrika in ritmika by Aleksander Bjelčevič

    Published 2015-03-01
    “…Ko dijaki in študenti pri določanju »stopic« naletijo na težavo, da skoraj noben verz ne ustreza metrični shemi, težavo odpravimo s preprosto statistično metodo in spremenjeno definicijo pojmov jamb, trohej, daktil in amfibrah. …”
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    Hierarchical Knowledge Transfer: Cross-Layer Distillation for Industrial Anomaly Detection by Junning Xu, Sanxin Jiang

    Published 2025-03-01
    “…Multiple projectors are built inside the model to facilitate the teacher in transferring knowledge to each layer of the student. Second, the teacher-student structural symmetry is decoupled by embedding Convolutional Block Attention Modules (CBAM) in the student network. …”
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    Research on the Lightweight of Natural Language Understanding Model in Electric Power Field by DONG Zengbo, XU Shiyu, CHEN Xi, XU Bo, XIN Rui, ZHANG Pengfei, SONG Hui

    Published 2024-12-01
    “…To address the application requirements of indicator question-and-answer (Q&A) in the electricity industry, this paper researches a natural language understanding model for balancing performance, computing resource consumption, and inference time, and proposes a method to incorporate an early stopping mechanism in the lightweight process of knowledge distillation. When training the student model with the knowledge of the teacher model, patient early stopping mechanism is added to each layer of encoding, allowing samples of different complexity to be encoded with different layers, reducing overfitting problems that are prone to occur in the student model, and controlling the inference time of the model. …”
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    The Efforts to Reduce The Risk of Learning Loss Through Limited Face-To-Face Learning by Aprilia Dian Sukmawati, Roni Harsoyo

    Published 2023-06-01
    “…The implementation of this PTMT gives great hope to the world of education in facing the curret pandemic, namely to improve the quality of the quality of educational institutions and restore student interest in learning which is slowly disappearing due to the distance learning gap through new habit patterns in implementing limited face-to-face learning.…”
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    N.V. Gogol and K.N. Leontiev: Recurrence of Westernism in “Conservative” Criticism by Igor’ A. Vinogradov

    Published 2022-06-01
    “…They were close in worldview but divided by a misunderstanding based on the interpretation of Gogol’s legacy in radical criticism. As the student Leontiev experienced the influence of Western ideology, which led to his negative attitude towards Gogol’s satire. …”
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    Psychometric Analysis of the Russian Version of “The Displaced Aggression Questionnaire” by Elina V. Kolyvanova, Sergei N. Enikolopov

    Published 2025-06-01
    “…For the psychometric properties of the adapted questionnaire, confirmatory factor analysis, correlation analysis, Cronbach's α coefficient, and Student's t-test are used. Results. The Russian version of the Displaced Aggression Questionnaire includes three subscales. …”
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