The development of best practices that deliver quality STEM education to all students, while minimizing achievement gaps, have been solicited by several national agencies. ABMS is a feasible approach to provide insight into global behavior based upon the interactions amongst agents and environments. In this review, we systematically surveyed several modeling and simulation approaches and discussed their applications to the evaluation of relevant theories in STEM education. It was found that ABMS is optimal to simulate STEM education hypotheses, as ABMS will sensibly present emergent theories and causation in STEM education phenomena if the model is properly validated and calibrated.
Simpson-Singleton, Shanna R. and Che, Xiangdong
"AGENT-BASED MODELING AND SIMULATION APPROACHES IN STEM EDUCATION RESEARCH,"
Journal of International Technology and Information Management: Vol. 28:
3, Article 1.
Available at: https://scholarworks.lib.csusb.edu/jitim/vol28/iss3/1
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