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Machine learning support for human articulation of concepts from examples – a learning framework

Pavel, Gabriela (2010). Machine learning support for human articulation of concepts from examples – a learning framework. In: TECH-EDUCATION 2010. Technology Enhanced Learning. Quality of Teaching and Educational Reform , 19-21 May 2010, Athens, Greece.

DOI (Digital Object Identifier) Link: http://dx.doi.org/10.1007/978-3-642-13166-0_12
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Abstract

We aim to show that machine learning methods can provide meaningful feedback to help the student articulate concepts from examples, in particular from images. Therefore we present here a framework to support the learning through human visual classifications and machine learning methods.

Item Type: Conference Item
Copyright Holders: 2010 Springer-Verlag Berlin Heidelberg
Extra Information: Published in: Communications in Computer and Information Science, Volume 73, pp. 80-84
Keywords: concept learning; machine learning; visual environment; learning framework
Academic Unit/Department: Knowledge Media Institute
Interdisciplinary Research Centre: Centre for Research in Computing (CRC)
Item ID: 32328
Depositing User: Gabriela Pavel
Date Deposited: 06 Feb 2012 17:34
Last Modified: 25 Oct 2012 14:05
URI: http://oro.open.ac.uk/id/eprint/32328
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