Analysis of Adaptive Learning Knowledge Model Based on Cloud Computing

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Abstract:

There is a clear lack of respect about traditional network adaptive learning system teaching on individualized assessment knowledge and building tacit knowledge, and this paper presents a knowledge model that supports personalized knowledge assessment, knowledge stored in the cloud computing environment, and construct tacit knowledge for learning body, to provide a personalized learning services for learners to achieve user to adapt the system to adapt to the user's system and two-way adaptation, this paper has guiding significance for further studies of adaptive learning systems.

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241-244

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August 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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