STEM-based Artificial Intelligence Learning in General Education for Non-Engineering Undergraduate Students

• Published in: Educational Technology ＆ Society Vol. 24; no. 3; pp. 224 - 237
• Main Authors: Lin, Chun-Hung, Yu, Chih-Chang, Shih, Po-Kang, Wu, Leon Yufeng
• Format: Journal Article
• Language: English
• Published: Palmerston North International Forum of Educational Technology ＆ Society 01.07.2021; International Forum of Educational Technology & Society
• Subjects: Artificial Intelligence; artificial intelligence literacy; College students; Deep learning; Digital literacy; Engineering education; Ethics; Foreign Countries; General Education; Instructional Effectiveness; Knowledge Level; Learning Activities; Literacy; Machine learning; Majors (Students); Mathematics; Methods; non-engineering students; Nonmajors; Sciences education; Special Issue Articles; STEM Education; Students; Study and teaching; Teaching Methods; Technical education; Undergraduate Students; Undergraduate study; Web services; Taiwan; Non-engineering students; STEM education; Artificial intelligence literacy; Artificial intelligence; General education

This article describes STEM education with artificial intelligence (AI) learning, particularly for non-engineering undergraduate students. In the designed three-week learning activities, students were encouraged to put their ideas about AI into practice through two hands-on activities, utilizing a p...