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Visual Models for Abstract Concepts Towards Better Learning Outcomes and Self-Efficacy
2014 ASEE Annual Conference & Exposition Proceedings
unpublished
We constructed and analyzed an evidence-based practice case to see if visual models help students develop a better understanding of abstract concepts and enhance their self-efficacy when solving engineering problems. Abstract concepts without corresponding physical phenomena are often found in the domains of industrial engineering, engineering management, and systems engineering. In this study, we focus on inventory control of a supply chain, which is typically a junior level undergraduate
doi:10.18260/1-2--23296
fatcat:b5vxuuxbmragxpswsh4qg4xbky