Visualization of learner's state and learning paths with knowledge structures

Authors:
Yu Nakamura;Hiroshi Tsuji;Kazuhisa Seta;Kiyota Hashimoto;Dietrich Albert
Affiliations:
Osaka Prefecture University, Osaka, Japan;Osaka Prefecture University, Osaka, Japan;Osaka Prefecture University, Osaka, Japan;Osaka Prefecture University, Osaka, Japan;University of Graz, Graz, Austria and Graz University of Technology, Graz, Austria
Venue:
KES'11 Proceedings of the 15th international conference on Knowledge-based and intelligent information and engineering systems - Volume Part IV
Year:
2011

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Abstract

To visualize learner's state and learning path, CMMI-based learning system and knowledge space theory have been integrated. Our CMMI-based learning system, called SPICE, provides framework for learner's capabilities and their maturity while the knowledge space theory provides lattices for possible learning order. The proposed lattices visualizes (1) a group's learning states as well as an individual's state in the knowledge structure and (2) exceptional learning paths as well as the conventional learning path in the knowledge structure. As reverse engineering, the method also identifies the learning structure on the basis of the learners' audit.