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

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

*此作品的通信作者

研究成果: 雜誌貢獻期刊論文同行評審

8 引文 斯高帕斯(Scopus)

摘要

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.

原文英語
頁(從 - 到)4719-4738
頁數20
期刊Interactive Learning Environments
32
發行號8
DOIs
出版狀態已發佈 - 2024

ASJC Scopus subject areas

  • 教育
  • 電腦科學應用

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