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 journalArticlepeer-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 languageEnglish
Pages (from-to)1471-1476
Number of pages6
JournalInternational Journal on Advanced Science, Engineering and Information Technology
Volume10
Issue number4
DOIs
Publication statusPublished - 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)

Fingerprint

Dive into the research topics of 'Exploring the AI topic composition of K-12 using NMF-based topic modeling'. Together they form a unique fingerprint.

Cite this