Showing 3,481 - 3,500 results of 4,237 for search 'Step learning', query time: 0.15s Refine Results
  1. 3481

    Peningkatan Kemampuan Menulis Menggunakan Metode Sugestopedia pada Mahasiswa Program Studi Pendidikan Bahasa Indonesia Fakultas Keguruan dan Ilmu Pendidikan Universitas Bengkulu by Rio Kurniawan, Kartini Kartini

    Published 2019-06-01
    “…Descriptively use to describe the learning conditons. This type of research is classroom action research. this research was conducted in two cycles. …”
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    Article
  2. 3482

    Development of Educational Games Based on Design Thinking to Improve Mathematical Thinking Skills by Muhtarom Muhtarom, Sugiyanti Sugiyanti, Muhammad Saifuddin Zuhri, Nur Latifah Dwi Mutiara, Hendrisa Adrillian, Milagros Baldemor

    Published 2025-05-01
    “…The design thinking stages are carried out through five steps: empathize, define, ideate, prototype, and test. …”
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  3. 3483

    Robust Strategy Generation for Automatic Navigation of Unmanned Surface Vehicles through Improved DDPG Algorithm by Wei Wang, Subin Huang, Huabin Diao

    Published 2024-01-01
    “…Methods based on deep reinforcement learning possess powerful learning abilities and have achieved promising results in USV-automatic navigation-tasks. …”
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  4. 3484

    Effect of a proficiency-based progression simulation programme on clinical communication for the deteriorating patient: a randomised controlled trial by Dorothy Breen, Sinead O’Brien, Nora McCarthy, Anthony Gallagher, Nuala Walshe

    Published 2019-07-01
    “…The groups were as follows: (i) E, the Irish Health Service national NEWS e-learning programme only; (ii) E+S, the national e-learning programme plus standard simulation; and (iii) E+PBP, the national e-learning programme plus PBP simulation.Main outcome measures The primary outcome was the proportion in each group reaching a predefined proficiency benchmark comprising a series of predefined steps, errors and critical errors during the performance of a standardised, high-fidelity simulation assessment case which was recorded and scored by two independent blinded assessors.Results 6.9% (2/29) of the E group and 13% (3/23) of the E+S group demonstrated proficiency in comparison to 60% (15/25) of the E+PBP group. …”
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  5. 3485

    The Effect of Processing Techniques on the Classification Accuracy of Brain-Computer Interface Systems by András Adolf, Csaba Márton Köllőd, Gergely Márton, Ward Fadel, István Ulbert

    Published 2024-12-01
    “…The objective of this study is to assess the effects of different processing steps on classification accuracy in EEG-based BCI systems. …”
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  6. 3486

    Implementation of Coaching Leadership Style by Principals to Enhance Learner Success by Ndoyisile Moses Majola, Wendy Setlalentoa, Ratokelo Willie Thabane

    Published 2024-10-01
    “…In the discussion with the participants, the researchers concluded that necessary steps should be taken to empower the principals on CLS. …”
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  7. 3487

    Law Journals: From Discourse to Pedagogy by Ilija Vickovich

    Published 2015-01-01
    “…This article focuses on the benefits of experiential learning in a pro bono teaching clinic and considers the advantages of consciously incorporating service learning into such a clinic, with reference to a case study of a successful commercial law teaching clinic established within a university law faculty. …”
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  8. 3488
  9. 3489

    Development of a Biology Virtual Laboratory (V-Lab) for Microscopic Observations about Onion Cells and Cassava Plant Cells by Laili Rahmi, Nidia Zuhara

    Published 2025-06-01
    “…This research aims to develop a virtual laboratory (v-lab) using Adobe Animate cc 2023 with a project-based evaluation to help students get to know microscopes and understand the steps of their use, especially observe about onion cells and cassava plant cells. …”
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  10. 3490

    Model-Based Detection of Coordinated Attacks (DCA) in Distribution Systems by Nitasha Sahani, Chen-Ching Liu

    Published 2024-01-01
    “…The developed learning algorithm identifies the most probable attack path to reach the attacker’s objective by predicting the next attack steps. …”
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  11. 3491

    Role of active patient involvement in undergraduate medical education: a systematic review by Stijntje Willemijn Dijk, Edwin Johan Duijzer, Matthias Wienold

    Published 2020-07-01
    “…Drivers for patient involvement included policy requirements and patients’ own motivations to contribute to society and learning. Patients were engaged in a variety of educational settings in and outside of the hospital. …”
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  12. 3492

    SLA-MLP: Enhancing Sleep Stage Analysis from EEG Signals Using Multilayer Perceptron Networks by Farah Mohammad, Khulood Mohammed Al Mansoor

    Published 2024-11-01
    “…<b>Results</b>: SLA-MLP leverages advanced deep learning techniques to enhance the classification of sleep stages from EEG signals. …”
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  13. 3493

    Shaping embodied neural networks for adaptive goal-directed behavior. by Zenas C Chao, Douglas J Bakkum, Steve M Potter

    Published 2008-03-01
    “…The acts of learning and memory are thought to emerge from the modifications of synaptic connections between neurons, as guided by sensory feedback during behavior. …”
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  14. 3494

    How to Encourage Student Voice: Obtaining Effective Feedback from Law Students in Course Evaluation by Vicci Y.J. Lau

    Published 2019-09-01
    “…Based on the results of empirical analysis, this article proposes a ‘motivation-driven student evaluation cycle’ which provides a more comprehensive model in setting out the crucial and ideal steps in a student evaluation process to achieve enhancement in students’ learning and teachers’ teaching effectiveness. …”
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  15. 3495

    A Drug-Target Interaction Prediction Method Based on Attention Perception and Modality Fusion by PENG Yang, ZHU Xiaofei, HU Dongdong

    Published 2025-05-01
    “…[Purposes] Predicting drug-target interactions is a critical step in drug discovery. The existing prediction methods based on graph neural networks have achieved good results, but there are still two challenges: first, how to extract the deep features and rich semantic information in drugs and targets more efficiently; and second, how to explicitly model and learn the interactions between drugs and targets for better prediction and interpretation. …”
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  16. 3496

    The role of socioeconomic status in uterine fibroid awareness and treatment: a narrative review by Joyvina Evans, Kennedy Jones

    Published 2024-11-01
    “…Recognition of the treatment barriers and decisions due to socioeconomic status is a critical step in ensuring equitable treatment options for women diagnosed with uterine fibroids. …”
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  17. 3497

    Some Episodes from E. Turauskas' Life and Activities by Aldona Vasiliauskienė

    Published 1999-12-01
    “…In this way, a lot of people learned of E. Turauskas, a striking personality of our nation. …”
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  18. 3498

    USE OF COMPUTER ANALYSIS OF OCCLUSAL CONTACTS IN ORTHOPEDIC PATIENTS WITH SECONDARY DEFORMITIES OF DENTITION (LITERATURE REVIEW) by O.V. Fedorova

    Published 2018-03-01
    “…Information is stored on a hard disk and can be used for an analysis step by step by means of video with a sentinel criterion. …”
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  19. 3499

    PRAWO RZYMSKIE W INTERNECIE by Zuzanna Służewska

    Published 2017-03-01
    “…Encouraging students to use the Internet while learning Roman law may inspire them to more detailed studies on selected subjects, not limited to information included in popular manuals and, as the next step, in creating their own www sites devoted to particular problems in the field of Roman law. …”
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  20. 3500

    Analysis of mutations in precision oncology using the automated, accurate, and user-friendly web tool PredictONCO by Rayyan Tariq Khan, Petra Pokorna, Jan Stourac, Simeon Borko, Adam Dobias, Joan Planas-Iglesias, Stanislav Mazurenko, Ihor Arefiev, Gaspar Pinto, Veronika Szotkowska, Jaroslav Sterba, Jiri Damborsky, Ondrej Slaby, David Bednar

    Published 2024-12-01
    “…The tool models the structure of the mutant protein in the first step. Next, it calculates the protein stability change, pocket level information, evolutionary conservation, and changes in ionisation of catalytic amino acid residues, and uses them as the features in the machine-learning predictor. …”
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