DOI: 10.14704/nq.2017.15.3.1051

Artificial Mind: Interdisciplinary Learning

Daegene Song

Abstract


In recent years, the importance of interdisciplinarity has been realized in the field of education, particularly to prepare students faced with practical real-world problems by mixing disciplines such as science, technology, engineering, and mathematics, an approach known as STEM. While this approach may provide a great opportunity in terms of enhancing creativity and collaboration, potentially more rewarding interdisciplinarity may be provided by the interconnection between STEM and arts-related areas. The present paper relates several interdisciplinary (i.e., the interconnection between science and arts by applying mathematical or algorithmic methods to artistry) education cases that have occurred in the last several years. More recently, with an enormous increase in the amount of data and the increasing speed of computing technology, data and artificial intelligence (AI) based approaches have been used in the stock market. Stock investment education based on simple AI-type algorithmic procedures is also described. In particular, it is significant that most participants had little or no previous experience in stock investment and limited knowledge of algorithms and mathematics, yet abundant business and market intuition combined with simple procedures resembling AI produced fruitful and interesting results.

Keywords


Information, Interdisciplinarity, Artificial Intelligence, STEAM

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References


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Supporting Agencies

This work was supported by the research grant of the Chungbuk National University in 2015.



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