A knowledge management framework for e-learning based on human factor engineering

Remote and rural communities are often disadvantaged in terms of access to infrastructure, information and opportunities. Two specific problems are crucial to promote sustainable online learning for the remote communities. First, presenting learning content may not be sufficient to help students to...

Full description

Saved in:

Bibliographic Details
Main Author:	Chin, Sylvia Ping Ping
Format:	Thesis
Published:	2015
Subjects:	QA75.5-76.95 Electronic computers Computer science
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my-mmu-ep.6294
record_format	uketd_dc
spelling	my-mmu-ep.62942016-01-27T08:53:26Z A knowledge management framework for e-learning based on human factor engineering 2015-06 Chin, Sylvia Ping Ping QA75.5-76.95 Electronic computers. Computer science Remote and rural communities are often disadvantaged in terms of access to infrastructure, information and opportunities. Two specific problems are crucial to promote sustainable online learning for the remote communities. First, presenting learning content may not be sufficient to help students to improve their learning as they are not competent to make meaning from the information presented. Second, students are often not competent to articulate information from different perspectives or discuss complex issue. The author investigated whether Knowledge Management (KM) processes, e-learning Principles and Human factors engineering will promote meaningful learning and consequently sustainable online learning for the remote community. The contributions are in five aspects: (i) instructional design of learning activities especially role playing (ii) design of learning content, (iii) design of hint-based teaching-learning strategies to scaffold learning and (iv) design of technology-enhanced collaborative learning and (v) the design and development of an integrated systematic web and system usability evaluation format to help with the design and development of usability-efficient and usability-effective learning activities and consequently, learner-centered, learner effective and cost effective solution. The author has customized the interactive e-learning course content in the KM-e-learning usability framework. This framework has been used for the development of an instructional model incorporating a germane pedagogical setup which coalesce interactive learning activities and learner-centered factors. The author illustrates this process with a unique case study from the SMK Bario, Sarawak to show the proposed framework have been adopted to make a successful transition to a blended learning community approach that combines face-to-face sessions with distance and asynchronous communication. 2015-06 Thesis http://shdl.mmu.edu.my/6294/ http://library.mmu.edu.my/diglib/onlinedb/dig_lib.php phd doctoral Multimedia University Faculty of Computing and Informatics
institution	Multimedia University
collection	MMU Institutional Repository
topic	QA75.5-76.95 Electronic computers Computer science
spellingShingle	QA75.5-76.95 Electronic computers Computer science Chin, Sylvia Ping Ping A knowledge management framework for e-learning based on human factor engineering
description	Remote and rural communities are often disadvantaged in terms of access to infrastructure, information and opportunities. Two specific problems are crucial to promote sustainable online learning for the remote communities. First, presenting learning content may not be sufficient to help students to improve their learning as they are not competent to make meaning from the information presented. Second, students are often not competent to articulate information from different perspectives or discuss complex issue. The author investigated whether Knowledge Management (KM) processes, e-learning Principles and Human factors engineering will promote meaningful learning and consequently sustainable online learning for the remote community. The contributions are in five aspects: (i) instructional design of learning activities especially role playing (ii) design of learning content, (iii) design of hint-based teaching-learning strategies to scaffold learning and (iv) design of technology-enhanced collaborative learning and (v) the design and development of an integrated systematic web and system usability evaluation format to help with the design and development of usability-efficient and usability-effective learning activities and consequently, learner-centered, learner effective and cost effective solution. The author has customized the interactive e-learning course content in the KM-e-learning usability framework. This framework has been used for the development of an instructional model incorporating a germane pedagogical setup which coalesce interactive learning activities and learner-centered factors. The author illustrates this process with a unique case study from the SMK Bario, Sarawak to show the proposed framework have been adopted to make a successful transition to a blended learning community approach that combines face-to-face sessions with distance and asynchronous communication.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Chin, Sylvia Ping Ping
author_facet	Chin, Sylvia Ping Ping
author_sort	Chin, Sylvia Ping Ping
title	A knowledge management framework for e-learning based on human factor engineering
title_short	A knowledge management framework for e-learning based on human factor engineering
title_full	A knowledge management framework for e-learning based on human factor engineering
title_fullStr	A knowledge management framework for e-learning based on human factor engineering
title_full_unstemmed	A knowledge management framework for e-learning based on human factor engineering
title_sort	knowledge management framework for e-learning based on human factor engineering
granting_institution	Multimedia University
granting_department	Faculty of Computing and Informatics
publishDate	2015
_version_	1747829623623778304

A knowledge management framework for e-learning based on human factor engineering

Similar Items