International Journal of ICT Application Research
Online ISSN : 2758-9420
Current issue
Displaying 1-4 of 4 articles from this issue
  • Hidetsugu Kohzaki
    2024 Volume 1 Issue 1 Pages 1-6
    Published: February 23, 2024
    Released on J-STAGE: February 23, 2024
    JOURNAL OPEN ACCESS
    Background: In Japan, it is extremely difficult to acquire the minimum required knowledge of infectious diseases in such a situation. This study examines the effects of this curriculum on student knowledge. Methods: At first, a competency test in biology and chemistry was administered immediately after enrollment. And beginning in the middle of the first year of nursing school, this curriculum allows students who have not studied infectious diseases until high school to easily acquire this knowledge based on Gagne's Nine Events of Instruction. Results: A comparison of student performance on the mid-term exam, in which lessons were conducted based on Gagne's Nine Events of Instruction, and the final exam, in which lessons were not conducted based on these event results suggested that while the lectures were not exactly the same, the curriculum enabled students without basic academic knowledge about infectious diseases to effectively acquire this knowledge. Conclusion: Following such a curriculum may enable nurses to pursue education in other complicated subject areas, such as genetics.
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  • Arina Moriyama, Hirotaka Uoi
    2024 Volume 1 Issue 1 Pages 7-13
    Published: February 23, 2024
    Released on J-STAGE: February 23, 2024
    JOURNAL OPEN ACCESS
    In these days, we can create a depth map from parallax pictures, LIDAR sensor or Machine Learning. However, those need multiple pictures or special hardware. The purpose of this paper is estimating the distance by subjected person form in one picture.
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  • Masayuki UENO, Tomoyuki TAKAMI
    2024 Volume 1 Issue 1 Pages 14-19
    Published: February 23, 2024
    Released on J-STAGE: February 23, 2024
    JOURNAL OPEN ACCESS
    In board games where effective strategies and tactics are unknown, such as ancient chess and modern board games, an educational environment is needed to train players and study strategies and tactics. By machine learning how a human learner behaves in a given situation, we can construct an imitation learning agent that behaves like a human. Furthermore, by visualizing how the imitation learning agent evaluates the board using XAI technology, it can be used to learn strategies that it and others have.
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  • Naoki Fujisaka, Mitsuho Yamada, Eriko Ishii, Yuko Hoshino
    2024 Volume 1 Issue 1 Pages 20-25
    Published: February 23, 2024
    Released on J-STAGE: February 23, 2024
    JOURNAL OPEN ACCESS
    Programming novices, especially those who are just beginning to learn one or more programming languages, have difficulty guessing exactly what a compile error message indicates during the learning process. Among other things, it is difficult for beginners to notice errors when accidentally mixing different programming languages or using double-byte parentheses or double-byte spaces commonly used in Japanese. Therefore, we prototype a web-based programming learning support system to improve learning efficiency by identifying compile errors in programs that are difficult for beginners to understand. The system then describes the errors and corrects the grammar in an easy-to-grasp form.
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