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

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...

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Published inEducational 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
LanguageEnglish
Published Palmerston North International Forum of Educational Technology & Society 01.07.2021
International Forum of Educational Technology & Society
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Abstract 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 provided deep learning-based web service. This study designed pre-test and post-test surveys to investigate the performance of students in different aspects of AI. With 328 students involved in these learning activities, we discovered from the surveys that the proposed learning method can effectively improve AI literacy among non-engineering students. This study also found that students' AI literacy correlated significantly with their awareness of AI ethical issues and that the STEM-based AI curriculum increased the awareness of AI ethical issues among low-AI-literate learners. This article discusses the association between learning activities and different aspects of AI learning. The proposed method can be used by teachers who want to introduce AI knowledge into general education courses.
AbstractList 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 provided deep learning-based web service. This study designed pre-test and post-test surveys to investigate the performance of students in different aspects of AI. With 328 students involved in these learning activities, we discovered from the surveys that the proposed learning method can effectively improve AI literacy among non-engineering students. This study also found that students’ AI literacy correlated significantly with their awareness of AI ethical issues and that the STEM-based AI curriculum increased the awareness of AI ethical issues among low-AI-literate learners. This article discusses the association between learning activities and different aspects of AI learning. The proposed method can be used by teachers who want to introduce AI knowledge into general education courses.
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 provided deep learning-based web service. This study designed pre-test and post-test surveys to investigate the performance of students in different aspects of AI. With 328 students involved in these learning activities, we discovered from the surveys that the proposed learning method can effectively improve AI literacy among non-engineering students. This study also found that students' AI literacy correlated significantly with their awareness of AI ethical issues and that the STEM-based AI curriculum increased the awareness of AI ethical issues among low-AI-literate learners. This article discusses the association between learning activities and different aspects of AI learning. The proposed method can be used by teachers who want to introduce AI knowledge into general education courses. Keywords: Artificial intelligence, STEM education, General education, Non- engineering students, Artificial intelligence literacy
Audience Higher Education
Postsecondary Education
Academic
Author Po-Kang Shih
Chun-Hung Lin
Chih-Chang Yu
Leon Yufeng Wu
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SubjectTerms 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
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STEM Education
Students
Study and teaching
Teaching Methods
Technical education
Undergraduate Students
Undergraduate study
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