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  1. 10661

    'De-Google-ing' our Students: A User Approach to Understanding Archival Media Discovery in the Classroom by Sabrina Sauer, Berber Hagedoorn, Susan Aasman

    Published 2024-12-01
    “…We discuss a pedagogical approach that facilitates learning about the ways in which data-orientated reconfigurations of archival content afford serendipitous information encountering at the data (content) level and the intermediated search (interface) level. …”
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  2. 10662

    Maths on display po polsku, czyli matematyczne prezentacje na lekcjach w klasie III by Katarzyna Wojcieszek

    Published 2014-04-01
    “…Its aim was to introduce a change towards enhancement of learning in the context of Polish schools. The author's search for effective ways of supporting pupils in their construction of knowledge is based on an application derived from England of the Maths on display strategy as a way of organising and holding a lesson, the primary aim of which is generation of stimulating and interesting instructional aids. …”
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  3. 10663

    Digital Determinants of Health: Health data poverty amplifies existing health disparities-A scoping review. by Kenneth Eugene Paik, Rachel Hicklen, Fred Kaggwa, Corinna Victoria Puyat, Luis Filipe Nakayama, Bradley Ashley Ong, Jeremey N I Shropshire, Cleva Villanueva

    Published 2023-10-01
    “…Artificial intelligence (AI) and machine learning (ML) have an immense potential to transform healthcare as already demonstrated in various medical specialties. …”
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  4. 10664

    The Daily Container Volumes Prediction of Storage Yard in Port with Long Short-Term Memory Recurrent Neural Network by Yinping Gao, Daofang Chang, Ting Fang, Yiqun Fan

    Published 2019-01-01
    “…In this work, by deep learning the historical dataset, the long short-term memory (LSTM) recurrent neural network (RNN) is used to predict daily volumes of containers which will enter the storage yard. …”
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  5. 10665

    Single and Multiwavelength Detection of Coronal Dimming and Coronal Wave Using Faster R-CNN by Zongxia Xie, Chunyang Ji

    Published 2019-01-01
    “…Different from the methods used before, we introduce the idea of deep learning. We train single-wavelength and multiwavelength models based on Faster R-CNN. …”
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    Article
  6. 10666

    Cognitive Behavioral Therapy in Children and Adolescents with Anxiety Disorder by Emel KARAKAYA, Didem Behice ÖZTOP

    Published 2013-04-01
    “…Priority goal of CBT is to change inappropriate learning and thinking patterns in the children and adolescents. …”
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  7. 10667

    Neural quantum propagators for driven-dissipative quantum dynamics by Jiaji Zhang, Carlos L. Benavides-Riveros, Lipeng Chen

    Published 2025-01-01
    “…Describing the dynamics of strong-laser driven open quantum systems is a very challenging task that requires the solution of highly involved equations of motion. While machine learning techniques are being applied with some success to simulate the time evolution of individual quantum states, their use to approximate time-dependent operators (that can evolve various states) remains largely unexplored. …”
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  8. 10668

    A Theoretical Framework for Interrogating the Integration of Artificial Intelligence in Education by Tarisayi Kudzayi Savious

    Published 2024-06-01
    “…Artificial intelligence (AI) and machine learning have become increasingly important in modern society and are poised to play an increasingly prominent role in education. …”
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  9. 10669

    Using modern technologies in the educational process of the college by D. K. Smolyakova

    Published 2020-10-01
    “…However, according to students, the main obstacles to the introduction of new educational technologies in the College are weak technical equipment of the learning process, insufficient training of teaching staff and a special conservative public awareness of the educational process. …”
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    Article
  10. 10670

    Research on the Influence of New Media Technology on Internet Short Video Content Production under Artificial Intelligence Background by Zhiqin Lu, Inyong Nam

    Published 2021-01-01
    “…Therefore, video content analysis is a very important and popular work in machine learning and artificial intelligence currently. However, it is very difficult to analyze all aspects of video content originally produced by large-scale users. …”
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  11. 10671

    PROFESSIONAL DEVELOPMENT OF MATHEMATICS TEACHERS by Vyacheslav I. Efanov, Anna L. Magazinnikova, Nina N. Nesmelova

    Published 2016-12-01
    “…They cover the content of Mathematics and the succession of its learning in connection with professional and special subjects. …”
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  12. 10672

    Reimagining and Decolonizing the Language of Design by Nidhi Singh Rathore

    Published 2025-02-01
    “…Using untailored faldas (skirts) as a narrative canvas, it demonstrates an alternative approach to design research that emphasizes learning from collaborative storytelling. The methodology centers on three critical principles: a deep immersion in the research context; conceptualizing stories and experiences as research artifacts; and identifying inherent tensions between researchers and their methodological tools. …”
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  13. 10673

    Semantic Detection of Vehicle Violation Video Based on Computer 3D Vision by Yue Dai

    Published 2022-01-01
    “…The experimental results show that the average loss function of each batch of 1000 images is calculated by the stochastic gradient descent method to update the parameter values. The learning rate was set to 0.001 in the first 30,000 iterations and 0.0001 in the last 10,000 iterations. …”
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  14. 10674

    The Effect of Virtual Laboratory Applications on 8th Grade Students' Achievement in Science Lesson by Fatih Serdar Yildirim

    Published 2021-02-01
    “…On the other hand, it has been shown that virtual laboratory applications contribute to students’ meaningful learning by enabling the concretization of abstract subjects, and that these applications positively support students' interest, excitement and motivation towards the science course because they are found attractive.…”
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  15. 10675

    A Study of Supplier Selection Method Based on SVM for Weighting Expert Evaluation by Li Zhao, Wenjing Qi, Meihong Zhu

    Published 2021-01-01
    “…To tackle this problem, this paper proposes a novel method that employs machine learning to learn the credibility of expert from historical data, which is converted to weights in evaluation process. …”
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    Article
  16. 10676

    The influence of agile leadership, motivation of entrepreneurial, and organizational culture on the Performance of Creative Economy MSMEs on Lombok Island by Santi Nururly, Burhanudin Burhanudin, Djoko Suprayetno, Siti Sriningsih

    Published 2024-06-01
    “…The output produced is the National Journal with ISSN and teaching materials that enrich entrepreneurship learning materials and human resources.…”
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    Article
  17. 10677

    Exploring the performance of ChatGPT for numerical solution of ordinary differential equations by Saso Koceski, Natasa Koceska, Limonka Koceva Lazarova, Marija Miteva, Biljana Zlatanovska

    Published 2025-01-01
    “…It also requires further improvement of the machine learning model and the ability to provide an explanation of how the output was obtained.…”
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  18. 10678

    The influence of the PATHS curriculum on children's social-emotional competence by Dwi Ajni Shafarwati

    Published 2023-12-01
    “…Programs must support children in learning important skills early to perform socially appropriate actions, such as social behavior and coping skills. …”
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  19. 10679

    Using Interest Approaches in Instructional Design and Delivery by Brianna N. Shanholtzer, Andrew Thoron, J. C. Bunch, Blake C. Colclasure

    Published 2019-06-01
    “… Most educators know that it can be challenging to get students motivated to learn at the start of a lesson. The importance of student motivation, academic desire, and engagement is well noted as these factors have been directly linked to students’ academic achievement. …”
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    Article
  20. 10680

    Dual Domain Swin Transformer based Reconstruction method for Sparse-View Computed Tomography by Jonas Van der Rauwelaert, Caroline Bossuyt, Jan Sijbers

    Published 2025-02-01
    “…Our method comprises three key blocks: sinogram upsampling via linear interpolation, initial reconstruction using deep learning in both domains, and residual refinement. …”
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