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Title:
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A KNOWLEDGE-AS-A-SERVICE SUPPORT FRAMEWORK FOR AMBIENT LEARNING IN KENYA |
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Author(s):
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Lucy Waruguru Mburu, Richard Karanja and Simon M. Nyaga |
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ISBN:
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978-989-8704-15-3 |
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Editors:
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Miguel Baptista Nunes, Pedro Isaías, Philip Powell and Boyan Bontchev |
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Year:
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2020 |
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Edition:
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Single |
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Keywords:
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Actionable Knowledge, Ambient Learning, Cloud Computing, Decision Trees, KaaS |
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Type:
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Full |
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First Page:
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107 |
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Last Page:
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114 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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Knowledge as a Service (KaaS) is a relatively new model, albeit one that is rapidly gaining popularity within cloud
computing environments. Over the recent years, learners have experienced a constant need to access on demand knowledge
that is fully aligned with the paradigm of cloud computing. This need stems from the knowledge that users will be able to
access applications and the information therein on demand, without the restrictions that are usually imposed by time and
space. The KaaS model terms knowledge as the understanding of information based on its relevance to a specific context
and problem area, thus forming a valuable resource for the human decision-making process. As motivated by the global
sustainable development goal of ensuring inclusive and equitable quality education to promote learning opportunities for
all, this research has developed a framework that is hinged on KaaS and utilizes knowledge from ambient learning systems.
The main aim is to provide a platform for disseminating and exploiting the available knowledge to aid the learning process
and, thus, to improve the quality of education on the ambient learning system. The research further explores how
collaborative effort can be used to form a knowledge network that allows access to heterogeneous sources of knowledge.
The research outcomes will benefit knowledge consumers such as the developers of ambient learning systems. |
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