Jul 11 – 12, 2026
Kansai Medical University, Faculty of Medicine
Asia/Tokyo timezone
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Session

[05] General Topics 2A

GT2A
Jul 11, 2026, 12:50 PM
[2F] Room A

[2F] Room A

Presentation materials

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  1. Hitoshi Ohuji (Laboratory Department, Yokohama Rosai Hospital)
    7/11/26, 12:50 PM
    Technology (T6)
    Oral

    We are living in the era of AI. People often use AI in their daily lives, but even among those who already use it, many have never actually spoken to it using their own voice. We’ve focused on experiencing how comfortable voice-based interaction with AI can be and the effects it brings. This approach is quick and easy. We believe that people are drawn to this sense of ease, and that through...

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  2. Cosmin Florescu (University of Tsukuba)
    7/11/26, 1:05 PM
    Technology (T6)
    Oral

    Speech-recognition technologies are increasingly promoted as tools for supporting spoken language practice in computer-assisted language learning (CALL). However, far less attention has been given to the practical challenges of implementing such tools in authentic educational settings. This study reports on the real-world deployment of a speech-recognition–based application designed to support...

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  3. Keito Horie (Kansai Medical University)
    7/11/26, 1:20 PM
    Technology (T6)
    Oral

    AI動画生成を用いた分岐型医学英語教材の開発と実装上の課題

    本研究の背景には、eラーニングを活用した医学英語教材作成の手技習得の必要性がある。そこで、一次救命に関する医学英語を学習し、その知識を基に実践へとつなげる教材の開発を本研究の目的とした。特にAI動画生成技術の活用に焦点を当て、教材の臨場感および理解促進効果の向上を図った。
    教材作成にはH5P Lumiを用い、Information Wall、Branching Scenario、Essayの3種のコンテンツを構築した。中でもBranching...

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