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Progress towards intelligent support for human articulation of concepts from examples

Pavel, Gabriela (2010). Progress towards intelligent support for human articulation of concepts from examples. International Journal of Knowledge and Learning, 6(1) pp. 82–97.

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Within this article we present a progress plan and the motivation of the research steps involved within the proposed learning framework. In a technological century, we aim to create a guided learning technology. We aim to use machine learning to support young students to articulate concepts from examples, in particular form images. Therefore, we address here the learning of natural concepts and principles of working memories that can support the learning activities. We focus also on the learning within a visual environment. We analyse then the potential of machine learning techniques to guide the human learning from examples. For this purpose, we propose a framework based on using machine learning to reason from student classifications, which we call HMCD (Human Machine Concept Dance).

Item Type: Journal Article
Copyright Holders: 2010 Inderscience Enterprises Ltd.
ISSN: 1741-1009
Keywords: technology enhanced learning; machine learning; human learning; learning framework; natural concepts; intelligent learning system
Academic Unit/Department: Knowledge Media Institute
Interdisciplinary Research Centre: Centre for Research in Computing (CRC)
Item ID: 32326
Depositing User: Gabriela Pavel
Date Deposited: 02 Feb 2012 16:36
Last Modified: 25 Oct 2012 14:05
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