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Proposed Optimal Growth Pathfinding Method Based on Growth Trajectories

Author

Listed:
  • 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)

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.

Suggested Citation

  • Niu Woyuan & Ryosuke Saga & Hiroshi Tsuji & Yukie Majima, 2015. "Proposed Optimal Growth Pathfinding Method Based on Growth Trajectories," International Journal of Knowledge and Systems Science (IJKSS), IGI Global, vol. 6(4), pages 70-89, October.
    • Handle: RePEc:igg:jkss00:v:6:y:2015:i:4:p:70-89
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