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  • Broschiertes Buch

Telephony applications in the area of education are developed mainly for the visually impaired to address the limitations of user interface of a mobile learner. However, with the proliferation of learning resources on the web, finding suitable content has become a rigorous task for voice-based online learners to achieve better performance. The problem of Finding Content Suitability (FCS) with voice e-Learning applications is more complex when the sight impaired learner is involved. Existing voice-based e-Education applications lack the attributes of adaptive and reusable learning objects to be…mehr

Produktbeschreibung
Telephony applications in the area of education are developed mainly for the visually impaired to address the limitations of user interface of a mobile learner. However, with the proliferation of learning resources on the web, finding suitable content has become a rigorous task for voice-based online learners to achieve better performance. The problem of Finding Content Suitability (FCS) with voice e-Learning applications is more complex when the sight impaired learner is involved. Existing voice-based e-Education applications lack the attributes of adaptive and reusable learning objects to be able to address the FCS problem. This book, therefore, provides a framework for intelligent Voice-based e-Education Systems and an implementation of a system based on the framework with dual user interfaces - voice and web. The results of the usability evaluation shows that the application will not only complement existing mobile and web-based learning systems but will be of immense benefitto users, based on the system's capacity for taking autonomous decisions that are capable of adapting to the needs of both visually impaired and non-visually impaired learners
Autorenporträt
Ambrose A. Azeta studied M.Sc, B.Sc and Ph.D Computer Science from University of Benin, University of Lagos and Covenant University respectively. He is a lecturer at Covenant University, Ota, Nigeria. His current research interests are: Software Engineering, Voice-enabled Dialogue Systems, Algorithm Design and Mobile Computing.