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Creating Data-Driven Undergraduate Student Engineering Typologies to Shape the Future of Work

This research provides data driven insights that can be used by engineering educators to better understand distinct segments of undergraduate students. Three clusters emerged that delineated students into three distinct typologies: Steadiness Compliance (SC); Influencing Steadiness (IS) and Dominance Influencing (DI) typology. This affirms once again that students are unique and individual differences require different teaching and learning approaches.