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    武

    武蔵野学院大学

    Musashino Gakuin University
    院校EST. 1912
    14论文总数
    30引用总数

    .

    论文量&引用量时间轴

    机构学者

    排序
    Yutaka Kigawa
    Yutaka Kigawa
    Fac Int Commun, Musashino Gakuin Univ
    论文:5引用:0H-index:0
    Kiyoshi Nagata
    Kiyoshi Nagata
    Stella pharma Corp.
    论文:5引用:0H-index:0
    Tomoko Aoki
    Tomoko Aoki
    Fac Law, Heisei Int Univ
    论文:4引用:0H-index:0
    Tetsuro Kakeshita
    Tetsuro Kakeshita
    Graduate School of Information Science, Saga University
    论文:2引用:0H-index:0
    Yuichi Kogure
    Yuichi Kogure
    Musashino Gakuin University
    论文:2引用:0H-index:0
    Fidel R. Nemenzo
    Fidel R. Nemenzo
    Department of Mathematics, University of the Philippines
    论文:1引用:0H-index:0
    Stephen G. Lambacher
    Stephen G. Lambacher
    Software Engineering Laboratory, University of Aizu
    论文:1引用:0H-index:0
    Takako Nakatani
    Takako Nakatani
    The Open University of Japan, Chiba, Japan
    论文:1引用:0H-index:0
    Haruhiko Okumura
    Haruhiko Okumura
    Faculty of Education|Mie University
    论文:1引用:0H-index:0

    论文(14)

    年份
    起
    –
    止
    排序
    1The Role of Sexuality in the Reordering of Nation States and the Emerging Divide in the International Community:
    Kenji Wada
    2024The Annals of the Japanese Political Science Association(2024)
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    2Research of the Hepato-neuro Protective Effects of Panax Notoginseng / Eucommia Ulmoides -Containing Yojo Food
    Shinhan SHA, Masaru YAMAMOTO
    2023Japanese Journal of Complementary and Alternative Medicine(2023)
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    3Development of IPSJ Data Science Curriculum Standard
    Tetsuro Kakeshita,Kazuo Ishii,Yoshiharu Ishikawa, Hitoshi Matsubara,Yutaka Matsuo,Tsuyoshi Murata, Miyuki Nakano,Takako Nakatani,Haruhiko Okumura,Naoko Takahashi, Norimitsu Takahashi,Gyo Uchida,

    The Information Processing Society of Japan (IPSJ) published a curriculum standard for university-level education majoring in data science (DS) (An English translation of the IPSJ Data Science Curriculum Standard is available at: https://www.ipthree.org/wp-content/uploads/IPSJ-DS-Curriculum_202104_en.pdf ). In this paper, we shall report strategy and development of the DS curriculum standards. Data science education and the development of data scientists are recognised to be quite important in both social and business contexts. The IPSJ DS curriculum standard is developed by integrating various related initiatives and has the following unique features. (1) The DS curriculum standard covers a wide range of related fields to ensure international compatibility through mapping to the ACM Data Science curriculum and the European EDISON Data Science Framework. (2) It collaborates with the IPSJ Data Scientist certification (under development) by referring to the Data Scientist skill checklist (assistant level) developed by the Data Scientist Society of Japan. (3) It clarifies the knowledge and skills required of students majoring in data science. (4) It assigns a time to each educational content so that the curriculum size becomes approximately 675 class hours (60 credits in the Japanese credit system). (5) It collaborates with the Model Curriculum for Mathematics, Data Science and AI Education (literacy level) developed by the Japan Inter-University Consortium for Mathematics and Data Science, supported by the Japanese government.

    2022Digital Transformation of Education and Learning - Past, Present and Future(2022)引用:3
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    4Frontline Chinese Herbal Medicine: the Use of Sanyao Sanfang Against COVID-19
    Shin-Han SHA,Masaru YAMAMOTO

    The rapid spread of COVID-19, which was first reported in Wuhan, China, gave unprecedented impacts to the people around the globe. Since no current established treatments nor medications are available, medical professionals are longing for the effective tools to fight against COVID-19. The true value of Chinese herbal medicine can be seen under such tough circumstances. The effects of Sanyao Sanfang, containing various naturally occurring phytochemicals were reported from the epicenter of COVID-19 in China. The distinctive feature of the Sanyao Sanfang is its ability to strengthen vitality of the body and improved resistance against invasive attacks by viruses and microbes. It also promotes activation of the immune system and its recovery to healthy status. It is obvious that the comprehensive effects of the Sanyao Sanfang do not stem from a single substance. Further studies are warranted for clarification of the mechanism and the role of other raw materials, as well as for the improvement of its formulation, efficacy and safety.

    2020Japanese Journal of Complementary and Alternative Medicine(2020)
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    5Trial for E-Learning System on Information Security Incorporate with Learning Style and Consciousness Factors
    Kiyoshi Nagata,Yutaka Kigawa,Tomoko Aoki

    In Japanese higher educational institutions as in universities, many studies and practices on e-learning have been reported, but the state of trial and errors are still continuing. Thus, we propose the construction of an e-learning system incorporating not only with learner's consciousness but also with their learning style. Our proposing system is consistent of three individual parts and one integration phase. The first part is composed of tools, methods, and facilities used to provide the e-learning environment. The second part is composed of theoretical or practical works on learning styles. The third part is composed of learner’s consciousness factors on information security which we have studied so far. In the integration phase, the components of e-learning discussed in the first part are evaluated from learning style related psychological aspects. In the paper, we propose a trial version of e-learning system which includes several types of content with proper links to information security factors and to learning styles.

    2018INTERNATIONAL JOURNAL OF ENGINEERING PEDAGOGY(2018)引用:5
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    合作机构(19)

    大東文化大學合作论文 4
    萨格大学合作论文 2
    平成国际大学合作论文 2
    Gakushūin School Corporation合作论文 1
    菲律宾大学合作论文 1
    东京工业大学合作论文 1
    名古屋大学合作论文 1
    筑波大学合作论文 1
    帝京平成大学合作论文 1
    津田塾大学合作论文 1

    机构统计