Proposed Optimal Growth Pathfinding Method Based on Growth Trajectories

Niu Woyuan, Ryosuke Saga, Hiroshi Tsuji and Yukie Majima
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Niu Woyuan: Department of Computer Science and Intelligent System, Osaka Prefecture University, Sakai, Japan
Ryosuke Saga: Department of Computer Science and Intelligent System, Osaka Prefecture University, Sakai, Japan
Hiroshi Tsuji: Department of Computer Science and Intelligent System, Osaka Prefecture University, Sakai, Japan
Yukie Majima: Department of Computer Science and Intelligent System, Osaka Prefecture University, Sakai, Japan

International Journal of Knowledge and Systems Science (IJKSS), 2015, vol. 6, issue 4, 70-89

Abstract: In this study, the authors propose an optimal growth pathfinding method to support learners in effectively mastering a set of capabilities. Under the assumption of prerequisite relationships among learning objectives, the main processes of the method are as follows: (1) extracting the capability structure from growth trajectories, (2) remodeling the problem as a traveling salesman problem with restrictions among learning objectives, and (3) generating the cost matrix and obtaining the optimal growth path. In addition, a flexible approach to data standardization as a step of capability structure extraction is discussed. The proposed method is also applied to a software engineer growth dataset with 30 responders.

Date: 2015
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