Influence of online STEAM hands-on learning on AI learning, creativity, and creative emotions

Yu Shan Chang, Yen Yin Wang*, Yu Te Ku

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

Given the importance of innovation, artificial intelligence (AI) education, and online learning during the COVID-19 pandemic, we explored the effects of science, technology, engineering, art, and mathematics (STEAM) hands-on learning on online AI learning and creativity. We also analyzed the effects of creative emotions on AI learning using facial expressions. We recruited 25 preservice teachers at a public university as participants. A pretest–post-test nonequivalent comparison group design was adopted. AI learning was applied to experimental teaching. The experimental and control groups received online STEAM hands-on learning and standard teaching, respectively. The findings were as follows: STEAM hands-on learning had a significant positive effect on the conjunction item, example item, and total AI concept scores, and an even greater positive effect on AI attitude scores, particularly for AI processing and output; the effect size of STEAM hands-on learning on AI creativity was large, and the effect was positive in terms of design novelty, elaboration, and usability; and participants had higher anger levels in the designing and drawing AI learning stages, implying a high degree of focus and engagement. Finally, recommendations for instruction include the use of more online resources and engaging practical software to improve professional learning and enjoyment.

Original languageEnglish
JournalInteractive Learning Environments
DOIs
Publication statusAccepted/In press - 2023

Keywords

  • AI
  • STEAM
  • creativity
  • facial expression
  • hands-on

ASJC Scopus subject areas

  • Education
  • Computer Science Applications

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