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Title: Implementing A Blockchain Based Learning Analytics Platform
Authors: Ocheja, Patrick
Flanagan, Brendan
Ogata, Hiroaki  kyouindb  KAKEN_id  orcid (unconfirmed)
Author's alias: 緒方, 広明
Keywords: Learning Analytics
Ubiquitous learning
Polysemous words
Computer Supported Language Learning
Issue Date: 21-Mar-2018
Publisher: Information Processing Society of Japan (IPSJ)
Journal title: IPSJ SIG Technical Reports
Volume: 2018-CLE-24
Issue: 18
Start page: 1
End page: 6
Abstract: Learning records represent the activities of learners on a learning platform. Because learning takes place at different institutions, organizations and
or platforms, it is important to connect learning records belonging to the same learner on these various platforms for a wider spectrum of analytics. With decentralization at the heart of the blockchain technology, we show the implementation of a blockchain based learning analytics platform. By using smart contracts, we enforce restricted access to learner's data and empower learners with more control over their learning records. To ensure that learning records are immutable, we use a hashing strategy to detect changes between earliest version of a learning record and subsequently retrieved versions. Finally, we propose some tests to be carried out and identify some concerns.
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The copyright of this material is retained by the Information Processing Society of Japan (IPSJ). This material is published on this web site with the agreement of the author (s) and the IPSJ. Please be complied with Copyright Law of Japan and the Code of Ethics of the IPSJ if any users wish to reproduce, make derivative work, distribute or make available to the public any part or whole thereof. All Rights Reserved, Copyright (c) 2018 by the Information Processing Society of Japan.
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