Downloads: 206

Files in This Item:
File Description SizeFormat 
LAK19_Extract_Self.pdf714.04 kBAdobe PDFView/Open
Title: Extracting Self-Direction Strategies and Representing Practices in GOAL System
Authors: Li, Huiyong
Majumdar, Rwitajit
Yang, Yuan Yuan
Flanagan, Brendan  kyouindb  KAKEN_id  orcid https://orcid.org/0000-0001-7644-997X (unconfirmed)
Ogata, Hiroaki  kyouindb  KAKEN_id  orcid https://orcid.org/0000-0001-5216-1576 (unconfirmed)
Author's alias: 李, 慧勇
楊, 媛媛
緒方, 広明
Keywords: Self-direction skills
evidence-based practice
learning analytics
DAPER model
GOAL system
Issue Date: Mar-2019
Publisher: Society for Learning Analytics Research (SoLAR)
Journal title: Companion Proceedings of the 9th International Conference on Learning Analytics and Knowledge (LAK'19)
Abstract: To enable students to engage in lifelong learning, it would require developing self-direction skills (SDS). The use of technology in education is common, however, the available software still offers poor support from a self-direction point of view. From the theories of self-directed learning (SDL) and evidence-based practice (EBP), we proposed a framework to track self-directed actions and represent strategies of practice by the learner. This framework is one of main components of the GOAL (Goal Oriented Active Learner) system. The GOAL system is built to support for acquisition of SDS in the context of learning and health. In this paper we describe how learner interactions in the GOAL system are captured as eXperience API statements and later visualized to enable learners reflect on their strategies.
Description: The 9th International Learning Analytics and Knowledge (LAK) Conference : March 4-8, 2019, Tempe, Arizona, USA
Rights: Creative Commons License, Attribution - NonCommercial-NoDerivs 3.0 Unported (CC BY-NC-ND 3.0)
This is not the published version. Please cite only the published version.
この論文は出版社版でありません。引用の際には出版社版をご確認ご利用ください。
URI: http://hdl.handle.net/2433/244128
Related Link: https://lak19.solaresearch.org/
Appears in Collections:Journal Articles

Show full item record

Export to RefWorks


Export Format: 


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.