Integrating artificial intelligence into steam education

Yu Shan Chang, Chia hui Chou*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

The development of artificial intelligence has revolutionized impact on education. Cramming education will no longer exist, and students have to learn more than memorizing. Secondly, artificial intelligence can provide a variety of effective learning methods, not only students can record learning content, but also make learning more effective. Teachers can also analyze the students’ learning and get feedback from the students so that they can learn from each other. STEAM education is increasingly valued by many countries, such as the ITEEA’s Education by Design, 6E Learning by DeSIGN STEM courses, and NASA-sponsored robot STEAM courses. South Korea have further promoted STEAM education (such as Incheon University) to propose the Wheel Model (STEAM & HUG). STEAM’s goals combining with design thinking, cross-domain learning, and teamwork form the main spirits of Taiwan’s 12-year national curriculum, which are “taking the initiative, engaging the public, and seeking the common good”. Those main components of artificial intelligence are knowledge reasoning, planning, machine learning, natural language processing, computer vision, and robotics. Artificial intelligence becomes an important learning and educational tool for students. Meanwhile, students learn through artificial intelligence products. Based on artificial intelligence components and STEAM education, how to develop instruction model and learning modules will be a most important theme. Through effectiveness artificial intelligence STEAM instruction, students’ higher-order thinking ability, creativity, problem solving ability, and the literacy of artificial intelligence will be improved effectively.

Original languageEnglish
Title of host publicationCognitive Cities - 2nd International Conference, IC3 2019, Revised Selected Papers
EditorsJian Shen, Yao-Chung Chang, Yu-Sheng Su, Hiroaki Ogata
PublisherSpringer
Pages469-474
Number of pages6
ISBN (Print)9789811561122
DOIs
Publication statusPublished - 2020
Event2nd International Cognitive Cities Conference, IC3 2019 - Kyoto, Japan
Duration: 2019 Sept 32019 Sept 6

Publication series

NameCommunications in Computer and Information Science
Volume1227 CCIS
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Conference

Conference2nd International Cognitive Cities Conference, IC3 2019
Country/TerritoryJapan
CityKyoto
Period2019/09/032019/09/06

Keywords

  • Artificial intelligence
  • STEAM
  • Teaching effectiveness

ASJC Scopus subject areas

  • General Computer Science
  • General Mathematics

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