Knowledge exploration with concept association techniques

NCUIR > College of Electrical Engineering & Computer Science > Graduate Institute of Network Learning Technology > journal & Dissertation > Item 987654321/51563

Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/51563

Title:	Knowledge exploration with concept association techniques
Authors:	Liu,CC;Chiang,SHF;Chou,CY;Chen,SY
Contributors:	網路學習科技研究所
Date:	2010
Issue Date:	2012-03-27 18:56:18 (UTC+8)
Publisher:	國立中央大學
Abstract:	Purpose - Exploratory learning is regarded as an important ability for developing knowledge from open environments. During the exploration, learners not only need to acquire new information based on their current interests, but also they need to form new perspectives by incorporating new knowledge into their previous knowledge. This paper seeks to address these issues. Design/methodology/approach - To this end, this paper proposes an approach that includes a concept association bank to recommend related concepts in a domain based on the goal of an exploration. By doing so, learners' knowledge can be expanded beyond their current understanding. An experiment was conducted to investigate how the proposed approach facilitated the learners' exploration. Findings - The results indicated that the concept association bank is a useful mechanism to help learners gain new understanding, including providing exploration directions, reducing complexity and cognitive load, facilitating data- and goal-driven exploration strategies, and commenting on new understanding. The implications of these results are discussed. Originality/value - Current recommendation systems emphasise a data-driven strategy, which seeks isolated pieces of information, instead of suggesting directions related to their exploration goal. The problem with such an approach is that learners' exploration will be limited by their existing knowledge. Thus, this paper presents an approach to support both data- and goal-driven strategies.
Relation:	ONLINE INFORMATION REVIEW
Appears in Collections:	[Graduate Institute of Network Learning Technology] journal & Dissertation

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