Proposed Optimal Growth Pathfinding Method Based on Growth Trajectories

نویسندگان

  • Woyuan Niu
  • Ryosuke Saga
  • Hiroshi Tsuji
  • Yukie Majima
چکیده

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. Proposed Optimal Growth Pathfinding Method Based on Growth Trajectories

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عنوان ژورنال:
  • IJKSS

دوره 6  شماره 

صفحات  -

تاریخ انتشار 2015