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ICCE2018_w_493-496.pdf1.42 MBAdobe PDF見る/開く
タイトル: Beyond Learning Analytics: Framework for Technology-Enhanced Evidence-Based Education and Learning
著者: OGATA, Hiroaki
MAJUMDAR, Rwitajit
AKÇAPINAR, Gökhan
HASNINE, Mohammad Nehal
FLANAGAN, Brendan
著者名の別形: 緒方, 広明
キーワード: Evidence Based Education
Learning Evidence Analytics Framework
Evidence Analytics
発行日: 24-Nov-2018
出版者: Asia-Pacific Society for Computers in Education (APSCE)
誌名: 26th International Conference on Computers in Education Workshop Proceedings
開始ページ: 493
終了ページ: 496
抄録: Currently eLearning infrastructure across various institutions often includes aLearning Management System (LMS), various ubiquitous and classroom learning tools, Learning Record Stores (LRS) and Learning Analytics Dashboards (LAD). Such aninfrastructure can apply Learning Analytics (LA) methods to process log data and supportvarious stakeholders. Teachers can refine their instructional practices, learners can enhancelearning experiences and researchers can study the dynamics of the teaching-learningprocess with it. While LA platforms gathers and analyses the data, there is a lack of specificdesign framework to capture the technology-enhanced teaching-learning practices. Thisposition paper focuses the research agenda on evidence in a data-driven educationalscenario. We propose the Learning Evidence Analytics Framework (LEAF) and present theresearch challenges involved.
記述: 26th International Conference on Computers in Education, Metro Manila, Philippines, November 26-30, 2018.
著作権等: Copyright 2018 Asia-Pacific Society for Computers in Education. All rights reserved. No part of this book may be reproduced, stored in a retrieval system, transmitted, in any forms or any means, without the prior permission of the Asia-Pacific Society for Computers in Education. Individual papers may be uploaded on to institutional repositories or other academic sites for self-archival purposes.
URI: http://hdl.handle.net/2433/237322
出現コレクション:学術雑誌掲載論文等

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