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    Computer-aided assessment for enlarged fetal heart with deep learning model by Siti Nurmaini, Ade Iriani Sapitri, Muhammad Taufik Roseno, Muhammad Naufal Rachmatullah, Putri Mirani, Nuswil Bernolian, Annisa Darmawahyuni, Bambang Tutuko, Firdaus Firdaus, Anggun Islami, Akhiar Wista Arum, Rio Bastian

    Published 2025-05-01
    “…This paper proposes a deep learning approach using the You Only Look Once (YOLO) architecture to automate fetal heart enlargement assessment. …”
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    Assessment of Language Education Lecturers’ Computer and Digital Literacy Skills towards E-Learning by Sunday Adejimola Amuseghan, Falakemi Oyeyemi Adeniyi Egbeola, Cyril Abioye Charles Olowoyeye

    Published 2022-07-01
    “…The aims of this study analyses assessment of language education lecturers’ computer and digital literacy skills towards e-learning. …”
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    Challenges and solutions for the implementation of computer-based test learning evaluation at SMKN 2 Bandung by Azzahra Putri Imanda, Dea Apriliyani, Dewi Allyya Suci Putri Anjani

    Published 2024-06-01
    “…This article explores the implementation of Computer-Based Testing (CBT) as a summative assessment method at SMK Negeri 2 Bandung, aiming for success and sustained benefits in the Indonesian education system. …”
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    Development of A Holistic Assessment Instrument Based on Computer Based Test on Environmental Pollution Learning by Dini Rosdiane Rusdiyanto, Bibin Rubini, Irvan Permana

    Published 2024-12-01
    “…This study aims to develop a holistic assessment instrument based on Computer Based Test (CBT) that meets the criteria of good assessment in the context of learning Environmental Pollution in Junior High School, especially grade VII. …”
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    3D-BCLAM: A Lightweight Neurodynamic Model for Assessing Student Learning Effectiveness by Wei Zhuang, Yunhong Zhang, Yuan Wang, Kaiyang He

    Published 2024-12-01
    “…This achievement not only validates the effectiveness of the 3D-BCLAM model, but also provides strong support for promoting the innovation of student learning effectiveness assessment.…”
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    MineObserver: A Deep Learning Framework for Assessing Natural Language Descriptions of Minecraft Imagery by Jay Mahajan, Samuel Hum, Jeff Ginger, H. Chad Lane

    Published 2022-05-01
    “…We apply techniques from Computer Vision and Natural Language Processing to create an AI framework called MineObserver for assessing the accuracy of learner-generated descriptions of science-related images. …”
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