Identifying patterns in learner's behavior Using Markov chains and n-gram models

Authors:
Pavel Čech
Affiliations:
Faculty of Informatics and Management, University of Hradec Kralove, Hradec Králové, Czech Republic
Venue:
CSCC'11 Proceedings of the 2nd international conference on Circuits, Systems, Communications & Computers
Year:
2011

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Abstract

The paper aims at the utilization of Markov chains and n-gram models in order to determine common patterns in the learner's behavior. The patterns represent sequences of units of learning that are visited by various users. The patterns would be used to recommend next units of learning with regard to previously visited units of learning. In this way a novice student might easily navigate through a complex structure of units of learning in a specific domain of interest without prior knowledge of the structure and links between topics.