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Collaborative supervision of machine learning as a tool for Web-based education: A teaching and learning triangle
Citation
Drew, S and Sheridan, P and Venema, S, Collaborative supervision of machine learning as a tool for Web-based education: A teaching and learning triangle, Advances in Web-Based Learning - ICWL 2003, Springer, W Zhou, P Nicholson, B Corbitt, J Fong (ed), Berlin, Germany, pp. 327-338. ISBN 978-3-540-40772-0 (2003) [Research Book Chapter]
Copyright Statement
Copyright 2003 Springer-Verlag Berlin Heidelberg
DOI: doi:10.1007/978-3-540-45200-3_31
Abstract
Machine-learning applications often suffer bottlenecks due to inefficiency
in the human-machine interface. A novel architecture design has been
developed to allow expert supervisors to collaborate and cooperate in real-time
to alleviate the effects of the bottleneck. Replacing supervisors with students,
this architecture also allows for supervised training and collaborative learning
of students as well as machine learners. Our attempts to provide Web-based
courses to distance learners have highlighted the need for more effective use of
the medium for education and appropriate tools to provide the necessary richness
of experience. We present our design and an example application to demonstrate
how we address some of the shortfalls present in Web-based, distance
education.
Item Details
Item Type: | Research Book Chapter |
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Keywords: | web-based education, distance education, machine learning |
Research Division: | Language, Communication and Culture |
Research Group: | Communication and media studies |
Research Field: | Communication technology and digital media studies |
Objective Division: | Expanding Knowledge |
Objective Group: | Expanding knowledge |
Objective Field: | Expanding knowledge in the information and computing sciences |
UTAS Author: | Drew, S (Dr Steve Drew) |
ID Code: | 111941 |
Year Published: | 2003 |
Deposited By: | Curriculum and Academic Development |
Deposited On: | 2016-10-17 |
Last Modified: | 2016-11-03 |
Downloads: | 0 |
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