文章基本信息

标题：Educing AI-Thinking in Science, Technology, Engineering, Arts, and Mathematics (STEAM) Education
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作者：Meng-Leong How ; Wei Loong David Hung
期刊名称：Education Sciences
电子版ISSN：2227-7102
出版年度：2019
卷号：9
期号：3
页码：1-41
DOI：10.3390/educsci9030184
出版社：MDPI Publishing
摘要：In science, technology, engineering, arts, and mathematics (STEAM) education, artificial intelligence (AI) analytics are useful as educational scaffolds to educe (draw out) the students’ AI-Thinking skills in the form of AI-assisted human-centric reasoning for the development of knowledge and competencies. This paper demonstrates how STEAM learners, rather than computer scientists, can use AI to predictively simulate how concrete mixture inputs might affect the output of compressive strength under different conditions (e.g., lack of water and/or cement, or different concrete compressive strengths required for art creations). To help STEAM learners envision how AI can assist them in human-centric reasoning, two AI-based approaches will be illustrated: first, a Naïve Bayes approach for supervised machine-learning of the dataset, which assumes no direct relations between the mixture components; and second, a semi-supervised Bayesian approach to machine-learn the same dataset for possible relations between the mixture components. These AI-based approaches enable controlled experiments to be conducted in-silico, where selected parameters could be held constant, while others could be changed to simulate hypothetical “what-if” scenarios. In applying AI to think discursively, AI-Thinking can be educed from the STEAM learners, thereby improving their AI literacy, which in turn enables them to ask better questions to solve problems.
关键词：STEAM education; STEM education; science; technology; engineering; arts; mathematics; Bayesian; artificial intelligence; AI Thinking; human-centric; explainable AI STEAM education ; STEM education ; science ; technology ; engineering ; arts ; mathematics ; Bayesian ; artificial intelligence ; AI Thinking ; human-centric ; explainable AI