Showing 961 - 980 results of 2,078 for search 'data education algorithm', query time: 0.12s Refine Results
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    The human touch in AI: optimizing language learning through self-determination theory and teacher scaffolding by Yi Ma, Mingyang Chen

    Published 2025-07-01
    “…Over 16 weeks, we collected quantitative data (IELTS Indicator tests, motivation and technology acceptance surveys) and qualitative data (interviews, observations, and reflective journals).ResultsQuantitative analyses revealed that the AI with Scaffolding group achieved significantly greater and more sustained proficiency gains than both the AI Only and Control groups. …”
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  7. 967

    ACCELERATING THE FORMATION OF CHILDREN’S VALUES IN A LEARNING ENVIRONMENT by A. I. Mantarova, I. A. Angelova

    Published 2017-04-01
    “…Psychological neoformations are educed by means of the diagnostic test proposed by P. …”
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    Development of Political Statistics: Conceptual Foundations for the Formation of a System of Indexes by L. Yu. Arkhangelskaya, V. N. Salin

    Published 2025-03-01
    “…The conceptual basis for structuring sections of the PS, identifying a specific subject, method and research objectives, defining a system of indexes within each section of the PS and the relationships between these modules are presented in the form of an information and logical diagram of subsystems of indexes with the definition of algorithms for their calculation and data sources for their construction.   …”
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    Predicting student performance academic using Automated Machine Learning (AutoML): in medical academic institutions by Rania A. Abougalala, Nouf Alharbi, Mohamed A. Amasha, Marwa F. Areed, Salem Alkhalaf, Dalia Khairy

    Published 2025-08-01
    “…Abstract Educational institutions seek to increase distinguished educational programs, and these programs increase costs and expenses of these institutions consuming a lot of their budget. …”
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    Detection of Hijaiyah Letters Handwritten in Early Childhood Using Yolov8 by Hidayatul Mustagfiroh, Aviv Yuniar Rahman, Rangga Pahlevi Putra

    Published 2025-07-01
    “…This research highlights the potential of integrating advanced object detection algorithms like YOLOv8 into educational practices. By providing real-time feedback, the system can significantly enhance the learning experience for young children, facilitating their understanding and mastery of the Arabic alphabet. …”
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    Recurrent academic path recommendation model for engineering students using MBTI indicators and optimization enabled recurrent neural network by Anupama V, Sudheep Elayidom M

    Published 2025-07-01
    “…A hybrid optimization-based deep recurrent neural network (DRNN) with Myers-Briggs Type Indicator (MBTI) is presented for Recurrent Academic Path Recommendation (RAPR) for engineering students. At first, the data transformation is applied considering the log kernel to improve data quality. …”
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    THEORETICAL AND METHODOLOGICAL ASPECTS OF USING INFORMATION ANDCOGNITIVE TECHNOLOGIES IN THE TRAINING OF TRANSPORT SPECIALISTS by Lavrentieva Olena, Krupskyi Oleksandr

    Published 2024-06-01
    “…The article aims to study and explain the problems, opportunities, and prospects of implementing and using information and cognitive technologies in the educational environment, as well as the specifics of their implementation for teaching and learning in educational and professional programs for the transport specialists’ training. …”
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    Smartphone sensor-based depression detection in campus environments: a proof-of-concept study with small-sample behavioral analysis by Yichen Bai, Yueze Liu, Yang Zhang, Amr Tolba

    Published 2025-08-01
    “…A customized data processing scheme tailored to campus life enabled the extraction of 18 feature sequences reflecting depressive symptoms. …”
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    Assessing Computational Thinking in Engineering and Computer Science Students: A Multi-Method Approach by Farman Ali Pirzado, Awais Ahmed, Sadam Hussain, Gerardo Ibarra-Vázquez, Hugo Terashima-Marin

    Published 2025-03-01
    “…The Computational Thinking Test (CTT) measures proficiency in core CT sub-competencies, abstraction, decomposition, algorithmic thinking, and pattern recognition through objective tests. …”
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