Adaptive learning in smart products based on context and learner preference modes
Abstract:
An approach is provided in which the approach converts a set of learning content into a teaching content vector representation. The approach determines a learning preference mode of a user based on a set of user responses responding to a set of learning type segments, and computes an environmental context vector representation of a physical environment surrounding the user. The approach conducts a conversation with the user based on the learning preference mode, the environmental context vector representation, and the teaching content vector representation.
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