Authors:
Masumi Hori
1
;
Seishi Ono
1
;
Kensuke Miyashita
2
;
Toshihiro Kita
3
and
Takao Terano
4
Affiliations:
1
NPO CCC-TIES, Nara, Japan
;
2
Kyoto Women's University, Kyoto, Japan
;
3
Kumamoto University, Kumamoto, Japan
;
4
Chiba University of Commerce, Chiba, Japan
Keyword(s):
Blockchain, Open Online Education, Competency based Learning, Bipartite Graph, Distributed Artificial Intelligence.
Abstract:
This paper proposes Sustainable Learning Economy (SLE) based on market principles. SLE will utilize the blockchain technology in order to let learners trade their learning results in cryptocurrencies, which in turn gives the learners a strong motivation to acquire the knowledge independently to gain their rewards. The main challenge in SLE has been guaranteeing learning quality; however, this could be resolved using competency-based learning (CBL), an efficient learning method to prioritize acquired knowledge over knowledge acquisition. Unfortunately, due to social, corporate, and educational demands, competency models require significant time, manpower, and expertise. While Conventional Competency Management Systems (CMS) reduces costs by providing an integrated environment for CBL operations, it is not able to reduce development costs. Therefore, to reduce development costs, this paper developed a Smart CMS, which harnessed concepts of distributed artificial intelligence, the power
of internet resources, and network analysis technology to automatically develop competencies tailored to the purpose, strengths, and characteristics of individual learners.
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