A Voice-enabled Framework for Recommender and Adaptation Systems in E-Learning

A Voice-enabled Framework for Recommender and Adaptation Systems in E-Learning

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With the proliferation of learning resources on the Web, finding suitable content (using telephone) has become a rigorous task for voice-based online learners to achieve better performance. The problem with Finding Content Suitability (FCS) with voice E-Learning applications is more complex when the sight-impaired learner is involved. Existing voice-enabled applications in the domain of...
 
Published at Book Chapter 4, IGI Global, Handbook on Integrated Models for Information Communication Systems and Networks: Design and Development. A Book published in the United States of America by Information Science Reference (an imprint of IGI Global).
Pages 71-96
Published in 2013
 
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A. A. Azeta, C. K. Ayo and N. A. Ikhu-Omoregbe
Azeta Ambrose A. » Professor Ambrose A. Azeta got his Bachelor of Science (B.Sc) degree in Computer Science from University of Benin, Nigeria from 1989 to 1992 with a second class (hons) upper division. Thereafter, he was admitted to University of Lagos, Nigeria to read Masters in Science (M.Sc) in Computer Science between 1998 and 1999. He has worked as a consultant in so many Information and Communications... view full profile
Azeta Ambrose A.
 
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