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Title: Improving Learning Analytics and Student Performance through Connected Lifelong Learning on the Blockchain
Authors: Ocheja, Patrick
Flanagan, Brendan
Lecailliez, Louis
Ogata, Hiroaki  kyouindb  KAKEN_id  orcid https://orcid.org/0000-0001-5216-1576 (unconfirmed)
Author's alias: 緒方, 広明
Keywords: lifelong learning
learning analytics
user model
privacy
learning record store
learning management system
blockchain
smart contract
Issue Date: Mar-2020
Publisher: Society for Learning Analytics Research (SoLAR)
Journal title: Companion Proceedings 10th International Conference on Learning Analytics & Knowledge (LAK'20)
Start page: 608
End page: 615
Abstract: The use of learning analytics to enhance learning at different levels has continued to gain attention over the past few years. With learning activities taking place in different environments, systems and contexts, capturing and sharing these actions/outcomes continue to pose serious problems. In this paper, we examine how student learning interactions and events across various learning systems such as BookRoll can be accessed, transferred and protected across different learning environment. In facilitating the reusability of past learning interactions, we propose the transferability of user models derived from these learning logs. Finally, we discuss potential areas for advancing the field in connecting and using distributed learning logs for improving learning analytics and students’ performance in general.
Description: [LAK’20: 10th International Learning Analytics and Knowledge] 23-27 March 2020; The University of Frankfurt, Frankfurt, Germany
Rights: This work is published under the terms of the Creative Commons License, Attribution - NonCommercial-NoDerivs 3.0 Unported (CC BY-NC-ND 3.0)
URI: http://hdl.handle.net/2433/268874
Related Link: https://www.solaresearch.org/wp-content/uploads/2020/06/LAK20_Companion_Proceedings.pdf
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