Enhancing learning effectiveness by adopting a knowledge-based usability guideline

Chin, Sylvia Ping Ping and Tsui, Eric and Lee, Chien Sing * (2016) Enhancing learning effectiveness by adopting a knowledge-based usability guideline. VINE Journal of Information and Knowledge Management Systems, 46 (1). pp. 123-152. ISSN 2059-5891

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Abstract

Guidelines for the design of knowledge-based e-learning usability systems are absent from the current recognized set of usability design heuristics and from an established evaluation methodology of e-learning system developments. Such systems can help Web designers and instructional designers design for different user needs and decide which properties are of a higher priority, thus meriting more design and development efforts. The authors aim to help students develop higher-order thinking skills, such as application, evaluation and syntheses of knowledge. The authors applied Merrill’s first principles of instruction and usability properties as pedagogical and usability design guidelines, knowledge management(KM)and hierarchical task analysis as methodological knowledge bases. The authors proposed a KM e-learning usability framework which frames our mapping of Web usability attributes to e-learning usability properties. The authors aim to investigate whether adopting Merrill’s first principles of instruction and usability properties as knowledge-based guidelines/design factors would help learners develop higher-order thinking skills and whether this design would result in positive technology acceptance. The authors also developed a method matrix to map these selected methods of cognitive engineering to its potential uses in the KM e-learning usability framework of this paper and mapped e-learning usability tools with components in the KM e-learning usability system.

Item Type: Article
Uncontrolled Keywords: e-learning; applied knowledge management; knowledge-based development; sustainable development; human factors; team collaboration
Subjects: Q Science > QA Mathematics > QA76 Computer software
Divisions: Sunway University > School of Science and Technology > Dept. Computing and Information Systems
Depositing User: Dr Janaki Sinnasamy
Date Deposited: 13 Dec 2017 08:41
Last Modified: 30 Jan 2018 07:46
URI: http://eprints.sunway.edu.my/id/eprint/705

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