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Title: GOAL: A System to Support Learner’s Acquisition of Self Direction Skills
Authors: MAJUMDAR, Rwitajit
YANG, Yuan Yuan
LI, Huiyong
OGATA, Hiroaki  kyouindb  KAKEN_id
Author's alias: 緒方, 広明
Keywords: Learning Analytics
Quantified Self
Self-direction skills
wearable and mobile technology
GOAL system
DAPER model
Issue Date: 24-Nov-2018
Publisher: Asia-Pacific Society for Computers in Education (APSCE)
Journal title: 26th International Conference on Computers in Education Main Conference Proceedings
Start page: 406
End page: 415
Abstract: For the 21st century learner, self-direction skill is crucial for developing bothintellectual abilities and maintaining one’s healthy lifestyle. While there are technologysupports for specific self-regulated learning tasks and health monitoring, research is limitedon how to support development of the meta-skill of Self-Direction itself. Our work bridgesLearning Analytics (LA) and Quantified-Self (QS) research to enable technology supportfor self-directed activities of learners. We propose DAPER (Data-Analyze-Plan-Executionmonitoring-Reflect), a data-driven Self-Direction skill execution and acquisition model. Tosupport synchronize-visualize-analyze multisource data regarding learners’ learning andphysical activities, we are developing the GOAL (Goal Oriented Active Learner) system. Inthis paper we present our DAPER model, the initial implementation of the GOAL systembased on that model and pilot study regarding the need and context analysis of this research.
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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