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.
This work is funded from the SILVER project, EPSRC grant DT/E010350/1.
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Pavel, G. (2010). Machine Learning Support for Human Articulation of Concepts from Examples – A Learning Framework. In: Lytras, M.D., et al. Technology Enhanced Learning. Quality of Teaching and Educational Reform. TECH-EDUCATION 2010. Communications in Computer and Information Science, vol 73. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13166-0_12
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DOI: https://doi.org/10.1007/978-3-642-13166-0_12
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