Methods for Diagnosing the Standards-Compliance Status of Latent Teaching Materials

Shoichi Nakamura, Takuya Kobari, Ryo Onuma, Hiroki Nakayama, Hiroaki Kaminaga, Youzou Miyadera

研究成果: Conference contribution

抄録

With the diversification of learning needs, the enhancement of e-learning teaching materials has become more and more important for both authors and users. The expansion of opportunities for e-learning influenced by COVID-19 further strengthened this importance. Despite the existence of international standards such as SCORM, the distribution and utilization of e-learning teaching materials has not progressed as expected. Due to the heavy burdens on authors to create standards-compliant teaching materials, non-compliant teaching materials continue to be used individually only around authors. This problem also makes it difficult for users to obtain the required teaching materials. In this research, we have been working on the development of methods for generating a repository of teaching materials including latent ones that do not conform to the standard. To achieve this goal, we initially developed methods for automatically collecting e-learning materials from the Web. We also developed methods for diagnosing the standards-compliance status of teaching materials. For non-compliant teaching materials, we extract the lacking factors for compliance with the standards and accumulate them in the repository together with the outline and location of the teaching materials. This repository enables to provide the hints that supports the creation of compliant teaching materials by authors. This paper mainly describes the methods for diagnosing the standards-compliance situation of teaching materials. Finally, an experiment on the diagnosis of standards-compliance is described and the validity of our methods is discussed on the basis of the results.

本文言語English
ホスト出版物のタイトル2021 IEEE International Conference on Computing, ICOCO 2021
出版社Institute of Electrical and Electronics Engineers Inc.
ページ61-65
ページ数5
ISBN(電子版)9781665436892
DOI
出版ステータスPublished - 2021
イベント2021 IEEE International Conference on Computing, ICOCO 2021 - Virtual, Online, Malaysia
継続期間: 2021 11月 172021 11月 19

出版物シリーズ

名前2021 IEEE International Conference on Computing, ICOCO 2021

Conference

Conference2021 IEEE International Conference on Computing, ICOCO 2021
国/地域Malaysia
CityVirtual, Online
Period21/11/1721/11/19

ASJC Scopus subject areas

  • 人工知能
  • コンピュータ ネットワークおよび通信
  • コンピュータ サイエンスの応用
  • 情報システムおよび情報管理
  • 安全性、リスク、信頼性、品質管理

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