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“S × UKILAM” Collaboration to Connect Local Digital Resources and School Education: Workshop and Archiving to Construct Network of “People” and “Data”

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From Born-Physical to Born-Virtual: Augmenting Intelligence in Digital Libraries (ICADL 2022)

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Abstract

The purpose of this study is to construct a network of people and data to connect diverse local digital resources and school education. Accordingly, we propose the S × UKILAM (School × University, Kominkan, Industry, Library, Archives, and Museum) collaboration, in which school teachers and institutions that hold and publish resources cooperate to create learning materials. As part of the project, three national workshops were held involving participants from 83% of prefectures and 197 institutions. The questionnaire suggested the effectiveness of the workshops and also identified the problems encountered in utilizing the resources. The 62 diverse learning materials co-created based on the workshops were made available as a secondary-use archive, creating a database in a format that can be machine-readably linked to various learning contents and resources.

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Authors and Affiliations

  1. The University of Tokyo, Tokyo, Japan

    Masao Oi, Boyoung Kim & Hidenori Watanave

  2. TRC-ADEAC, Tokyo, Japan

    Masao Oi

Authors
  1. Masao Oi
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  2. Boyoung Kim
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  3. Hidenori Watanave
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Correspondence to Masao Oi .

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Editors and Affiliations

  1. National Taiwan Normal University, Taipei, Taiwan

    Yuen-Hsien Tseng

  2. Doshisha University, Kyoto, Japan

    Marie Katsurai

  3. VNU University of Engineering and Technology, Hanoi, Vietnam

    Hoa N. Nguyen

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© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Oi, M., Kim, B., Watanave, H. (2022). “S × UKILAM” Collaboration to Connect Local Digital Resources and School Education: Workshop and Archiving to Construct Network of “People” and “Data”. In: Tseng, YH., Katsurai, M., Nguyen, H.N. (eds) From Born-Physical to Born-Virtual: Augmenting Intelligence in Digital Libraries. ICADL 2022. Lecture Notes in Computer Science, vol 13636. Springer, Cham. https://doi.org/10.1007/978-3-031-21756-2_10

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  • DOI: https://doi.org/10.1007/978-3-031-21756-2_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-21755-5

  • Online ISBN: 978-3-031-21756-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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