Exploring the AI topic composition of K-12 using NMF-based topic modeling

Ho Sung Woo; Jae Hong Kim; Ja Mee Kim; Won Gyu Lee

doi:10.18517/ijaseit.10.4.12787

Exploring the AI topic composition of K-12 using NMF-based topic modeling

Ho Sung Woo, Jae Hong Kim, Ja Mee Kim, Won Gyu Lee

Research output: Contribution to journal › Article › peer-review

Abstract

Recently, artificial intelligence has become more prevalent due to the combination of more data, faster processing power, and more powerful algorithms. AI technology has been introduced into almost all industries and is also affecting the education sector. The objective of this study was to explore AI topics through an analysis of literature related to AI education for grades K-12 and provide implications for the composition of a system for AI education. For this purpose, 27 materials released at the 2018 and 2019 AI4K12 Symposiums were collected. Besides, artificial intelligence integration across subjects and artificial intelligence curriculum published by CBSE of India were collected for analysis. The frequency of words, word cloud, and topic modeling was performed for each collected document. According to the analysis, content on the necessary future direction for AI education and introductions to educational tools were extracted from the 2018 symposium, whereas the 2019 symposium contained more concrete discussions on how to conduct AI education in schools. Meanwhile, content involving the principles of integration for how to integrate AI with other subjects and AI-based teaching and learning methods were extracted from Artificial Intelligence Integration Across Subjects. Finally, Artificial Intelligence Curriculum covered the theories and principles of AI. This study has significance in that it analyzed how much discussion about AI education is being conducted in K-12 based on topic modelling and suggested future directions for AI education.

Original language	English
Pages (from-to)	1471-1476
Number of pages	6
Journal	International Journal on Advanced Science, Engineering and Information Technology
Volume	10
Issue number	4
DOIs	https://doi.org/10.18517/ijaseit.10.4.12787
Publication status	Published - 2020

Keywords

AI curriculum
K-12 AI curriculum
Topic analysis
Topic model

ASJC Scopus subject areas

Computer Science(all)
Agricultural and Biological Sciences(all)
Engineering(all)

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10.18517/ijaseit.10.4.12787

Cite this

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title = "Exploring the AI topic composition of K-12 using NMF-based topic modeling",

abstract = "Recently, artificial intelligence has become more prevalent due to the combination of more data, faster processing power, and more powerful algorithms. AI technology has been introduced into almost all industries and is also affecting the education sector. The objective of this study was to explore AI topics through an analysis of literature related to AI education for grades K-12 and provide implications for the composition of a system for AI education. For this purpose, 27 materials released at the 2018 and 2019 AI4K12 Symposiums were collected. Besides, artificial intelligence integration across subjects and artificial intelligence curriculum published by CBSE of India were collected for analysis. The frequency of words, word cloud, and topic modeling was performed for each collected document. According to the analysis, content on the necessary future direction for AI education and introductions to educational tools were extracted from the 2018 symposium, whereas the 2019 symposium contained more concrete discussions on how to conduct AI education in schools. Meanwhile, content involving the principles of integration for how to integrate AI with other subjects and AI-based teaching and learning methods were extracted from Artificial Intelligence Integration Across Subjects. Finally, Artificial Intelligence Curriculum covered the theories and principles of AI. This study has significance in that it analyzed how much discussion about AI education is being conducted in K-12 based on topic modelling and suggested future directions for AI education.",

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Exploring the AI topic composition of K-12 using NMF-based topic modeling

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Keywords

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