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: https://doi.org/10.1007/978-3-642-13166-0_12

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.

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About

• Item ORO ID
• 32328
• Item Type
• Conference or Workshop Item
• 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 or School
• Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
  Faculty of Science, Technology, Engineering and Mathematics (STEM)
• Research Group
• Centre for Research in Computing (CRC)
• Copyright Holders
• © 2010 Springer-Verlag Berlin Heidelberg
• Depositing User
• Gabriela Pavel