Development of Humanities Based Teaching-Learning Contents for Types of Machine Learning

Authors

  • Yuri Hwang, Namje Park

DOI:

https://doi.org/10.17762/msea.v71i3.185

Abstract

Artificial intelligence education applied with humanities elements is necessary to cultivate learners' humanities knowledge and desirable personality while inducing motivation and enhancing effects of teaching-learning.Proposed teaching-learning contents in this paper aims to educate elementary school learners the principles of artificial intelligence based on humanistic elements such as traditional fairy tales and folk tales.For the development of the teaching-learning content, referring to the current pre-developed elementary and secondary artificial intelligence education content standards by KOFAC, the types of machine learning were selected as a topic. After analyzing several Korean traditional fairy tales, a story similar to machine learning supervised learning had chosen, and it was intended to correspond to individual elements in the artificial intelligence principle. On the other hand, unsupervised learning was planned to learn naturally through activities in which learners group animals in traditional Korean paintings. The worksheet developed for the activity was also converted as an online worksheet for being used in both face-to-face and non-face-to-face teaching-learning situations. A Korean traditional fairy tale “The Fan Merchant and the Umbrella Merchant” has similarity with supervised learning, because a woman in the story predicts preferred merchandise according to certain day’s weather. Another humanities element that is expected to maintain the connection of learning and arouse learners' interest is traditional painting. Therefore, the proposed teaching-learning content is designed to experience unsupervised learning process of machine learning using animals in folk paintings as training data. Learners can also access this teaching-learning content in non-face-to-face environment by shared online worksheet.The teaching-learning contents proposed in this paper is expected to not only educate machine learning types, also encourage elementary learners to cultivate sound values so that eventually become ethical AI users.

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Published

2022-06-09

How to Cite

Yuri Hwang, Namje Park. (2022). Development of Humanities Based Teaching-Learning Contents for Types of Machine Learning. Mathematical Statistician and Engineering Applications, 71(3), 472 –. https://doi.org/10.17762/msea.v71i3.185

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Section

Articles