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Copyright © 2019 CCC-TIES All rights reserved. 1
May 2020
Masumi Hori, Seishi Ono, Kensuke Miyashita, Toshihiro Kita and Takao Terano
E-mail: hori@cccties.org
Toward Sustainable Learning
Economy through a Block-
Chain Based Management
System
CSEDU2020

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Copyright © 2019 CCC-TIES All rights reserved. 2
Index
1. Learning Economy Model (LEM)
2. Competency Based Learning
(CBL) in the LEM
3. Attributes of CBL
4. Conclusion

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Learning Economy Model
(LEM)
Management of
Intellectual Property
Management of
Intellectual Property
Goods & Services Market
Knowledge
Knowhow Skill
Factor Market
BlogsSNS
Awareness
Blockchain
Learners Fabricants

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SNS
CHiLO Knowledge
Blockchain
(Hyperledger
Fabric)
Agent
OUTPUT Method
Learners
Fabricant
MRC (Metadata of
resources configuration)
Meta Data Meta Data Meta Data
Contract Contract Contract

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Experimental results
 Effect of learning support system
based on learning economy
 Externalize know-how and tacit knowledge
 Virtual currency as an indicator for
proactiveness
▸ Evaluation of learning outcomes
 Virtual currency motivates learning
▸ Motivation

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The Challenge of LEM
 Challenge
 Takes time to assure the quality of the
knowledge in the market
 Solution
 Provide well thought out competency-
based learning (CBL)

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Installing CBL in LEM
Management of
Intellectual Property
Management of
Intellectual Property
CBL AgentLearners
Goods & Services Market
Factor Market
Blockchain
CBL
(Competency Based Learning)
Behavioral data
Learning logs
Self Assessment
（1）
（2）
（3） （4）
Knowledge
DB
Academic
Papers
OER

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Research for competency
graph structure
 Specimen : iCompetency Dictionary (iCD)
▸ A freely available competency dictionary
▸ Consists of 4,500 task dictionaries
▸ 10,000 skill dictionaries included
▸ Created for human IT development
▸ Established by the Information Processing Agency
Japan.
 Validation issues
 Examination of iCD parameter of property
 Finding the graph structure peculiar to competency

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Bipartite graph
Task-nodes(n=639) Skill-nodes(n=491)
• Edges concentrate on
specific nodes
Edges

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Order distribution
Task-nodes Skill-nodes
Degree: Number of edges connected to the node
Hub Hub

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Power distribution
Scale-free network structure
R2=0.75，5.40-1.20log(x) R2=0.78，5.13-1.27log(x)
Task-nodes Skill-nodes

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Discussion : Scale-free network
 Complex network structure
- GAFA, air traffics, Bacon numbers
 Hub
- Edges concentrate on specific nodes
 Growing network
- New nodes are likely to connect to hubs
- Network structure is robust.

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New nodes connect to
existing hubs at a high rate
2014 version
Task-nodes
(n=639)
Skill-nodes
(n=491)
Task-nodes
(n=495)
Skill-nodes
(n=424)
2018 version
New nodes added

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Conclusion
 Competency is the structure of a complex
network
 Task-Skill graph is scale-free
 Small world of skills and tasks monograph
 The centrality of the graph indicates the importance of
competency
 LEM using blockchain and CBL
 LEM is not required teachers, just keep learners motivated
 CBL in LEM can provide competencies tailored to learners'
desired learning

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Please feel free to ask questions.
hori@cccties.org
Thank you.