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  1. 9361

    Will Artificial Intelligence (AI) Make the School Principal Redundant? A Preliminary Discussion and Future Prospects by Turgut Karakose

    Published 2024-06-01
    “…Although the potential of AI to replace teachers with all the seismic shift it created in the teaching-learning processes has sparked passionate debates, arguments over the potential influence of AI on school principals is scarce. …”
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  2. 9362

    Human activity recognition: an approach 2D CNN-LSTM to sequential image representation and processing of inertial sensor data by Wallace Camacho Carlos, Alessandro Copetti, Luciano Bertini, Leonard Barreto Moreira, Otávio de Souza Martins Gomes

    Published 2024-11-01
    “…The field of human activity recognition, abbreviated as HAR, benefits significantly from deep learning by addressing the complexity of human behavior and the vast volume of data produced by sensors. …”
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  3. 9363

    Teaching Learners of Specialized Classes the Method of Mathematical Modeling based on Solving Problems with Practical Content by Zhazira Alibekova, Nurgali Ashirbayev, Zhansaya Ashirbayeva, Shadiyar Altynbekov

    Published 2024-09-01
    “…The research aims to understand how using mathematical modeling in specialized classes can make learning more effective. By focusing on real-world, practical tasks, the study seeks to show how applying math to everyday problems can deepen students' understanding and make the subject more engaging and relevant to their lives. …”
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  4. 9364

    A Review of CNN Applications in Smart Agriculture Using Multimodal Data by Mohammad El Sakka, Mihai Ivanovici, Lotfi Chaari, Josiane Mothe

    Published 2025-01-01
    “…A comparative analysis shows how CNNs perform with respect to other techniques that involve traditional machine learning and recent deep learning models in image processing, particularly when applied to high-dimensional or temporal data. …”
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  5. 9365

    Perceptions and attitudes towards AI among trainee and qualified radiologists at selected South African training hospitals by Ayanda I. Nciki, Linda T. Hlabangana

    Published 2025-01-01
    “…Contribution: Participants were positive about AI implementation in practice and in the registrar learning programme.…”
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  6. 9366

    The data-intensive research paradigm: challenges and responses in clinical professional graduate education by Chunhong Yang, Yijing Chen, Changshun Qian, Fangmin Shi, Fangmin Shi, You Guo, You Guo, You Guo, You Guo, You Guo

    Published 2025-02-01
    “…With the widespread application of big data, artificial intelligence, and machine learning technologies in the medical field, a new paradigm of data-intensive clinical research is emerging as a key force driving medical advancement. …”
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  7. 9367

    The Impact of the Quizlet App on Students' Mufradât Mastery: An Experimental Study by Ibnu Rawandhy N. Hula, Yousif Abdelmannan Mohamed Godat Arrashedy, Mohamad Lahay, Mukhtar I. Miolo, Damhuri Damhuri, Abdullah Sakka

    Published 2024-12-01
    “…Thus, Quizlet can be considered an effective application for learning Arabic, as it provides a more engaging and enjoyable learning experience while improving students' outcomes in mufradât.…”
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  8. 9368

    Forward model emulator for atmospheric radiative transfer using Gaussian processes and cross validation by O. Lamminpää, J. Susiluoto, J. Hobbs, J. McDuffie, A. Braverman, H. Owhadi

    Published 2025-02-01
    “…It is related to operator learning in the sense that the function to be approximated maps high-dimensional vectors to high-dimensional vectors. …”
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  9. 9369

    A Multi-Faceted Approach to Trending Topic Attack Detection Using Semantic Similarity and Large-Scale Datasets by Insaf Kraidia, Afifa Ghenai, Samir Brahim Belhaouari

    Published 2025-01-01
    “…We evaluated our approach using a comprehensive framework that assessed textual, image, and overall similarity. Five machine learning models—Random Forest, Decision Tree, K-Neighbors, Gradient Boosting, and XGBoost—were tested, with results benchmarked against nine baseline methods across different linguistic datasets and learning scenarios. …”
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  10. 9370

    Discriminatively Constrained Semi-Supervised Multi-View Nonnegative Matrix Factorization with Graph Regularization by Guosheng Cui, Ye Li, Jianzhong Li, Jianping Fan

    Published 2024-03-01
    “…Nonnegative Matrix Factorization (NMF) is one of the most popular feature learning technologies in the field of machine learning and pattern recognition. …”
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  11. 9371

    Psychological Support in the Midst of VUCA Situations for Generation Z in the Finnish Education System by Eva Latipah

    Published 2024-12-01
    “…Data collection is conducted through in-depth interviews with teachers, school counselors, and education policymakers to explore their perspectives on the forms of support and strategies in place; participatory observation involving direct observation in schools to understand how psychological support is implemented in real educational settings; and documentation by analyzing Finnish education policy documents related to psychological support, learning guidelines, and student development programs. …”
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  12. 9372

    ENRICHING CLASSROOMS WITH TECHNOLOGY: EFFECTIVENESS OF ICT INTEGRATION IN TEACHING AGRICULTURAL SCIENCE IN SENIOR SECONDARY SCHOOLS IN BENUE STATE by GBEYONGU FREDERICK TERKIMBI, AKAA CHARITY WANGER, ONU DEBORAH OGBENE

    Published 2024-12-01
    “…Findings revealed amongst others that ICT devises if used in Agricultural Science instruction in teaching learning process, will boost learner’s performances, makes learning more interesting and enhances student’s retention abilities. …”
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  13. 9373

    Distinct disruptions in CA1 and CA3 place cell function in Alzheimer’s disease mice by Sanggeon Park, Mijeong Park, Eun Joo Kim, Jeansok J. Kim, Jeiwon Cho, Yeowool Huh

    Published 2025-02-01
    “…Summary: The hippocampus, a critical brain structure for spatial learning and memory, is susceptible to neurodegenerative disorders such as Alzheimer’s disease (AD). …”
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  14. 9374

    Depth Semantic Segmentation of Tobacco Planting Areas from Unmanned Aerial Vehicle Remote Sensing Images in Plateau Mountains by Liang Huang, Xuequn Wu, Qiuzhi Peng, Xueqin Yu

    Published 2021-01-01
    “…To this end, the advantage of deep learning features self-learning is relied on in this paper. …”
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  15. 9375

    A Novel Oil Spill Dataset Augmentation Framework Using Object Extraction and Image Blending Techniques by Farkhod Akhmedov, Halimjon Khujamatov, Mirjamol Abdullaev, Heung-Seok Jeon

    Published 2025-01-01
    “…Several studies have mentioned that the quality and size of a dataset is crucial for training robust vision-based deep learning models. The proposed methodology combines advanced object extraction techniques with traditional data augmentation strategies to generate high quality and realistic oil spill images under various oceanic conditions. …”
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  16. 9376

    Does the instructional approach really matter? A comparative study of the impact of online and in-person instruction on learner engagement by Zhiyong Li, Zonglin Dai, Jiaying Li, Pengju Guan

    Published 2025-03-01
    “…However, limited attention has been paid to whether online and in-person teaching approaches differ in terms of their effects on learner engagement in language learning environments. To fill this void, we aim to investigate the differences in overall and three specific types of engagement between online and in-person classrooms. …”
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  17. 9377
  18. 9378

    التطوع فى المکتبات الأکادیمیة لتلبیة احتیاجات سوق العمل by د. سفانة عبد القادر زیدان

    Published 2019-10-01
    “…As a result of thevolunteer mixing the learning experiences and practical experience resulting fromthe volunteer tasks in the library, which contributes to the acquisition of manynecessary skills needed for learning and work. …”
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  19. 9379

    Experience with a Self-Management Education Program for Adolescents with Type 1 Diabetes: A Qualitative Study by Marília Costa Flora, Luísa Barros, Maria Isabel Dias da Costa Malheiro

    Published 2025-01-01
    “…<b>Conclusions</b>: The adolescents emphasized that the program was a learning tool and the expert patient’s view of their role emerges, highlighting modelling as a facilitator of learning and of the responsibility and commitment of the mentors. …”
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  20. 9380

    A Unique Simulation Methodology for Practicing Clinical Decision Making by Shimon Amar, Yuval Bitan

    Published 2025-01-01
    “…Challenges such as a shortage of clinical placements and qualified teaching physicians, coupled with increasing medical student numbers, exacerbate this issue. Simulation-based learning encompasses varied educational values and has the potential to serve as an important tool in medical students’ education. …”
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