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Article

Educing AI-Thinking in Science, Technology, Engineering, Arts, and Mathematics (STEAM) Education

National Institute of Education, Nanyang Technological University Singapore, Singapore 639798, Singapore
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Educ. Sci. 2019, 9(3), 184; https://doi.org/10.3390/educsci9030184
Received: 29 June 2019 / Revised: 9 July 2019 / Accepted: 9 July 2019 / Published: 15 July 2019
(This article belongs to the Special Issue Trends in STEM Education)
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. View Full-Text
Keywords: 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
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MDPI and ACS Style

How, M.-L.; Hung, W.L.D. Educing AI-Thinking in Science, Technology, Engineering, Arts, and Mathematics (STEAM) Education. Educ. Sci. 2019, 9, 184. https://doi.org/10.3390/educsci9030184

AMA Style

How M-L, Hung WLD. Educing AI-Thinking in Science, Technology, Engineering, Arts, and Mathematics (STEAM) Education. Education Sciences. 2019; 9(3):184. https://doi.org/10.3390/educsci9030184

Chicago/Turabian Style

How, Meng-Leong, and Wei L.D. Hung 2019. "Educing AI-Thinking in Science, Technology, Engineering, Arts, and Mathematics (STEAM) Education" Education Sciences 9, no. 3: 184. https://doi.org/10.3390/educsci9030184

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