Title: Progress towards intelligent support for human articulation of concepts from examples

Authors: Gabriela Pavel

Addresses: Knowledge Media Institute (KMi), The Open University, Walton Hall, Milton Keynes, MK76AA, UK

Abstract: 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).

Keywords: technology enhanced learning; machine learning; human learning; learning framework; natural concepts; intelligent learning systems; guided learning technology.

DOI: 10.1504/IJKL.2010.034485

International Journal of Knowledge and Learning, 2010 Vol.6 No.1, pp.82 - 97

Published online: 05 Aug 2010 *

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