July 26, 2021
July 26, 2021
July 19, 2022
College Industry Partnerships
Creating Data-Driven Undergraduate Student Engineering Typologies to Shape the Future of Work
The engineering profession is overwhelmingly practiced in complex organizational settings. An engineering student graduating today will likely have to navigate an interdisciplinary and intergenerational maze. Compounding matters is that engineering curricula have struggled to keep pace with the acceleration of emerging technologies. Thus, it is not inconceivable that graduating engineers could find themselves working with people from three other generations (Baby Boomers to Gen Y) from different disciplines (engineering and otherwise) on technologies that are not part of their core training. Thus, there is little room for misalignment in personal characteristics within workgroups. This can be best remedied if engineering students develop a deep understanding of themselves and, more importantly, if they are able to articulate that understanding during the hiring, onboarding processes.
There are a number of ways where a student can gain such deep understanding. In this work, the TTI TriMetrix® DNA assessment suite was used. The TTI TriMetrix® DNA assessment suite is designed to increase the understanding of an individual's talents in three distinct areas: competencies, motivators and behavioral traits. There is extensive information in the individual TTI reports (over fifty dimensions) that informs and guides the student toward a deep understanding. However, that can be a double-edged sword in that it is hard to communicate out and even harder for engineering programs and hiring organizations to find it actionable.
It is the need for actionability that has driven the necessity to distill the TTI dimensions into typologies that are the central part of this work. For engineering education programs, these typologies will make it possible to devise curricular and co-curricular elements to help students improve themselves and ultimately become effective in the workplace in a shorter period of time. They could also better inform a student’s choice of core-curriculum courses, electives and selecting minors or micro credentialing. For hiring organizations, these typologies will better inform their hiring decision and, more importantly, the placements of undergraduate engineering students where they can be most successful, productive and create work life balance.
The typologies are statistically derived from the TTI reports of over 200 students who took the assessment suite between 2017 and 2020. These typologies are matched with generalized categories of engineering jobs to provide new insights and techniques for strengthening the engineering talent pipeline and proactively help shape the future of work.
Pistrui, D., & Rayess, N. E. (2021, July), Creating Data-Driven Undergraduate Student Engineering Typologies to Shape the Future of Work Paper presented at 2021 ASEE Virtual Annual Conference Content Access, Virtual Conference. 10.18260/1-2--36873
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