ePortfolio system using past learners’ history data

• UENO Maomi

  University of Electro-Communications, Graduate school of information systems

Bibliographic Information

Other Title

• 過去の学習者履歴データを利用したｅポートフォリオ・システム
• 第19回情報知識学フォーラム予稿 過去の学習者履歴データを利用したeポートフォリオ・システム
• ダイ19カイ ジョウホウ チシキガク フォーラム ヨコウ カコ ノ ガクシュウシャ リレキ データ オ リヨウ シタ eポートフォリオ ・ システム

Abstract

There are four characteristics that a learning community must have: (1) diversity of expertise among its members, (2) a shared objective of continually advancing the collective knowledge and skills, (3) an emphasis on learning how to learn, and (4) mechanisms for sharing what is learned [5]. To enhance the development of learning communities, we developed an ePortfolio recommendation system. The unique features of this system are as follows: 1. The system recommends excellent other students who have similar learning histories with the user, 2. The system searches diverse others as much as possible. Namely, the system recommends excellent other students with similar learning histories to the target user but dissimilar each other. Actual trial use of the system demonstrates that the system does indeed promote learning from others，and supports sustainability of learning and deeper robust acquisition of knowledge; not superficial learning based on memorization.

Journal

• Joho Chishiki Gakkaishi

  Joho Chishiki Gakkaishi 24 (4), 414-423, 2014

  Japan Society of Information and Knowledge

Keywords

• Constructivism
• Learning assessment
• ePortfolio
• recommendation system
• Peer assessment

Details

• CRID: 1390001204423499904
• NII Article ID: 130004843617
• NII Book ID: AN10459774
• DOI: 10.2964/jsik_2014_039
• ISSN: 18817661
• ISSN: 09171436
• NDL BIB ID: 025968697
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I025968697
• Text Lang: ja
• Data Source:
  • JaLC
  • NDL
  • Crossref
  • CiNii Articles
  • KAKEN
• Abstract License Flag: Disallowed