Please use this identifier to cite or link to this item: http://hdl.handle.net/10497/21950
Title: 
Authors: 
Subjects: 
STEAM education
STEM education
Science
Technology
Engineering
Arts
Mathematics
Bayesian
Artificial intelligence
AI Thinking
Human-centric
Explainable AI
Issue Date: 
2019
Citation: 
How, M. L., & Hung, D. W. L. (2019). Educing AI-thinking in Science, Technology, Engineering, Arts, and Mathematics (STEAM) education. Education Sciences, 9(3), Article 184. https://doi.org/10.3390/educsci9030184
Abstract: 
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.
URI: 
ISSN: 
2227-7102 (online)
DOI: 
File Permission: 
Open
File Availability: 
With file
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