ダウンロード数: 272
このアイテムのファイル:
ファイル | 記述 | サイズ | フォーマット | |
---|---|---|---|---|
s41039-019-0097-0.pdf | 1.93 MB | Adobe PDF | 見る/開く |
完全メタデータレコード
DCフィールド | 値 | 言語 |
---|---|---|
dc.contributor.author | Ocheja, Patrick | en |
dc.contributor.author | Flanagan, Brendan | en |
dc.contributor.author | Ueda, Hiroshi | en |
dc.contributor.author | Ogata, Hiroaki | en |
dc.contributor.alternative | 上田, 浩 | ja |
dc.contributor.alternative | 緒方, 広明 | ja |
dc.date.accessioned | 2019-07-04T06:31:43Z | - |
dc.date.available | 2019-07-04T06:31:43Z | - |
dc.date.issued | 2019-03-01 | - |
dc.identifier.issn | 1793-7078 | - |
dc.identifier.uri | http://hdl.handle.net/2433/242867 | - |
dc.description.abstract | It is a common practice to issue a summary of a learner’s learning achievements in form of a transcript or certificate. However, detailed information on the depth of learning and how learning or teachings were conducted is not present in the transcript of scores. This work presents the first practical implementation of a new platform for keeping track of learning achievements beyond transcripts and certificates. This is achieved by maintaining digital hashes of learning activities and managing access rights through the use of smart contracts on the blockchain. The blockchain of learning logs (BOLL) is a platform that enable learners to move their learning records from one institution to another in a secure and verifiable format. This primarily solves the cold-start problem faced by learning data analytic platforms when trying to offer personalized experience to new learners. BOLL enables existing learning data analytic platforms to access the learning logs from other institutions with the permission of the learners and/or institution who originally have ownership of the logs. The main contribution of this paper is to investigate how learning records could be connected across institutions using BOLL. We present an overview of how the implementation has been carried out, discuss resource requirements, and compare the advantages BOLL has over other similar tools. | en |
dc.format.mimetype | application/pdf | - |
dc.language.iso | eng | - |
dc.publisher | Springer Nature | en |
dc.rights | © The Author(s) 2019 | en |
dc.rights | This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. | en |
dc.subject | Learning logs | en |
dc.subject | Learning analytics | en |
dc.subject | Blockchain | en |
dc.subject | Privacy | en |
dc.subject | Higher education | en |
dc.subject | k-12 | en |
dc.subject | Lifelong learning | en |
dc.title | Managing lifelong learning records through blockchain | en |
dc.type | journal article | - |
dc.type.niitype | Journal Article | - |
dc.identifier.jtitle | Research and Practice in Technology Enhanced Learning | - |
dc.identifier.volume | 14 | - |
dc.relation.doi | 10.1186/s41039-019-0097-0 | - |
dc.textversion | publisher | - |
dc.identifier.artnum | 4 | - |
dc.address | Graduate School of Informatics, Kyoto University | en |
dc.address | Academic Center for Computing and Media Studies, Kyoto University | en |
dc.address | Academic Center for Computing and Media Studies, Kyoto University | en |
dc.address | Academic Center for Computing and Media Studies, Kyoto University | en |
dcterms.accessRights | open access | - |
出現コレクション: | 学術雑誌掲載論文等 |
このリポジトリに保管されているアイテムはすべて著作権により保護されています。