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Title: Beyond Learning Analytics: Framework for Technology-Enhanced Evidence-Based Education and Learning
Authors: OGATA, Hiroaki
MAJUMDAR, Rwitajit
HASNINE, Mohammad Nehal
Author's alias: 緒方, 広明
Keywords: Evidence Based Education
Learning Evidence Analytics Framework
Evidence Analytics
Issue Date: 24-Nov-2018
Publisher: Asia-Pacific Society for Computers in Education (APSCE)
Journal title: 26th International Conference on Computers in Education Workshop Proceedings
Start page: 493
End page: 496
Abstract: 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.
Description: 26th International Conference on Computers in Education, Metro Manila, Philippines, November 26-30, 2018.
Rights: 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.
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