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Adaptive learning in computing for non-native speakers.

Rimbaud, Yann; McEwan, Tom; Lawson, Alistair; Cairncross, Sandra

Authors

Yann Rimbaud

Sandra Cairncross



Abstract

A significant proportion of e-Learning resources for engineering and computing education appear to be exclusively in English, requiring many learners to adapt themselves to learning within an English language context. Adaptive learning has a role to play in minimizing this adjustment and strengthening the learning. This research plans to understand learning needs, and take a Content and Language Integrated Learning (CLIL) approach to create algorithms to supply online learning experiences and content to meet these needs, adding novel mechanisms to help learners cope, develop their language capabilities, and enhance their ability to learn in another language. This work-in-progress describes the early stages of the research and we welcome insights into taxonomies of adaptive learning techniques, and mixed methods approaches to evaluating learning effectiveness, for those learning in an additional language.

Start Date Oct 22, 2014
End Date Oct 25, 2014
Publication Date 2014
Deposit Date Dec 3, 2014
Peer Reviewed Peer Reviewed
Pages 1-4
Book Title 2014 IEEE Frontiers in Education Conference Proceedings
ISBN 978-1-4799-3921-3
DOI https://doi.org/10.1109/FIE.2014.7044142
Keywords Adaptive learning;
Public URL http://researchrepository.napier.ac.uk/id/eprint/7335
Publisher URL http://dx.doi.org/10.1109/FIE.2014.7044142