Visualization of Learner’s State and Learning Paths with Knowledge Structures

Proceedings of the 13th International Conference on Knowledge Management and Knowledge Technologies

Ichinotsubo

et al. 2013

Self Cite

To extract learning order dependencies, we propose a method for analyzing growth trajectories. Due to limitations of the ISM-based method, weaker dependencies considered negligible for most learners' growth are likely to be lost. The proposed method, which is based on sequential pattern mining and minimum support, is expected to extract such dependencies. In addition, for complex dependencies, we can uniquely determine learning order by applying a pruning method based on supports. A case study of offshore software development is also discussed to verify the applicability of the proposed method.

Section: Dependency In Learning and Ex-traction Methods 21 Dependencymentioning

confidence: 99%

Dependency Extraction from Growth Trajectory using Sequential Pattern

Aoki

Proceedings of the 13th International Conference on Knowledge Management and Knowledge Technologies

Ichinotsubo

et al. 2013

Self Cite

“…We use the Spiral Capability Enhancement Support System (SPICE) [7,8], a system that we developed to support growth, and propose the use of a two-dimensional (2D) plane to represent the processes of maturation of various capabilities in offshore software development, along with their dependency structure, as a means of showing the intercapability growth sequence in the maturation process.…”

Section: Introductionmentioning

confidence: 99%

“…Thus, in this paper, we discuss the performance of analyses based on process growth visualization, with a focus on the necessary capacities for the nurturing of offshore software development. We use the Spiral Capability Enhancement Support System (SPICE) , a system that we developed to support growth, and propose the use of a two‐dimensional (2D) plane to represent the processes of maturation of various capabilities in offshore software development, along with their dependency structure, as a means of showing the intercapability growth sequence in the maturation process.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Offshore Software Development by Process Growth Visualization

Ichinotsubo

Nakamura

et al. 2015

Elect Comm in Japan

Self Cite

SUMMARYTo create criteria for the activities involved in offshore software development, this paper proposes a method to visualize the status of an organization. The basic premises in this research are that there are 12 capabilities and each capability has five levels. First, this paper introduces a knowledge management system called SPICE, which has a visualization function. The function includes the growth path of an individual, the growth path of a group, and a dependency structure. Then, to explain the use of method in the realm of offshore software development, this paper describes an experimental analysis and the accompanying visualization. The future possibilities of the method are also examined in detail. C⃝

“…An algorithm based on the interpretive structural modeling (ISM) method (Warfield, 1982) was proposed for capability structure extraction. Although trajectory mining is theoretically feasible, it results in some problems in practical application, such as the spiral capability enhancement (SPICE) support system (Nakamura et al, 2011). Although the reachability of each learning objective (whether level A can be mastered) is identified, cost elements (time or money) are omitted.…”

Section: Introductionmentioning

confidence: 99%

Proposed Optimal Growth Pathfinding Method Based on Growth Trajectories

Niu

International Journal of Knowledge and Systems Science

Tsuji

et al. 2015

Self Cite

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.