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Knowledge Construction Methodology

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Book cover Knowledge Construction Methodology

Part of the book series: Translational Systems Sciences ((TSS,volume 20))

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Abstract

The knowledge construction methodology consists of a knowledge construction system model, a dialectic knowledge construction method, and a set of knowledge justification principles called constructive objectivism. To emphasize the universality of the knowledge construction system model, this chapter first shows that the model is derived naturally from the new tactics creation method by Yoshiharu Habu, a permanent grand master of Japanese chess. This model suggests that knowledge is created and justified by the five abilities of actors in the four knowledge domains. This chapter introduces an application of the knowledge construction method in detail in the end, so it first explains constructive objectivism. As an application of the knowledge construction methodology, this chapter reports on the creation of stories that promote classroom lessons for a traditional Chinese instrument in Japan.

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Notes

  1. 1.

    Deep learning is a kind of machine learning. It became famous recently because a computer program called AlphaGo strengthened by deep learning defeated the strongest human Go player in 2016.

  2. 2.

    Confucius’s (551 BC–479 BC) disciples gathered and compiled his words in this book after his death. It is one of the “Four Books” in Confucianism. The others are Mengzi, The Great Learning, and The Doctrine of the Mean.

  3. 3.

    Fei Meng, born in Dalian, China, received a Ph.D. in knowledge science from Japan Advanced Institute of Science and Technology. She teaches many Japanese people the performances of the erhu in Kanazawa, Japan.

  4. 4.

    Portamento is a performance technique that moves smoothly and gradually while changing the pitch when moving from one sound to another.

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Nakamori, Y. (2020). Knowledge Construction Methodology. In: Knowledge Construction Methodology. Translational Systems Sciences, vol 20. Springer, Singapore. https://doi.org/10.1007/978-981-13-9887-2_5

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