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U.S. graduate engineering programs traditionally follow a “one-size-fits-all” approach that prioritizes research skills, is slow to adapt to industry trends, and defaults to training students for academic careers. Further, these programs implicitly assume that students start at the same knowledge level, disregarding differences in educational preparation and students’ backgrounds, including socioeconomic and sociocultural factors, prior work experience, and professional development. Through a National Science Foundation Innovations in Graduate Education award, the University of Pittsburgh Swanson School of Engineering is creating and validating a five-component personalized learning model (PLM) for graduate education within the Department of Chemical and Petroleum Engineering. This model, designed around the students' self-identified goals, aims to modernize graduate STEM education through a student-centered approach, advancing existing knowledge on the relationship between personalized learning and student outcomes. The first three components provide an intentional approach to learning: Instructional Goals developed for each student based on a learner profile and individual development plans (IDP), a purposeful Task Environment that breaks the traditional three-credit coursework into modules and co-curricular professional development streams, and a persistent approach to Scaffolding Instruction that leads to students’ mastery. The last two components provide feedback and reflection: Assessment of Performance Learning and Reflection and Evaluation. This paper reports on the methodology, results, and application of work conducted on the second component of the model, the Task Environment. This component purposefully breaks the traditional three-credit coursework into single-credit classes, specifically one-credit fast-paced fundamentals review, one-credit graduate-level core content, and one-credit graduate-level specialized content. This change provides a flexible and personalized learning experience. It enables students to customize their education to fit program requirements and align with their interests, thus allowing students to have agency on the breadth and depth of their intellectual development. To create the modularized curriculum, we initiated a collaborative process that leveraged the collective expertise of our chemical engineering faculty and external subject matter experts (SMEs), including chemical engineers from industry, government, academia, and start-ups. Starting with our faculty's existing learning objectives from each core course, we employed GroupWisdom group concept mapping software to (1) brainstorm on additional graduate-level chemical engineering learning objectives, (2) group the learning objectives into one of three levels: fundamental, graduate core, and specialized topics for each course topic, and (3) rate the importance of each learning objective. The multi-session group concept mapping technique leveraged 25 SMEs. Two sets of learning objectives were produced. The first was a prioritized set of learning outcomes for each content area organized according to the three levels. The second set comprised learning outcomes necessary for graduate students to be successful post-graduation, including technical and non-technical learning objectives. For the first set, faculty have formed a learning community to interpret the results and collectively work on restructuring course content and pedagogy. For the second set, the same SMEs rated the importance of each learning objective, which informed the priority of incorporation into the revised curriculum.
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Understanding the Professional, Non-Academic Experience of Engineering Faculty
The literature in both Engineering Management (EM) and the nascent field of Engineering Leadership (EL) periodically discusses the relative importance of industry experience for faculty engaged in these areas. Recent work in both fields found that EM / EL faculty appear to have considerable industry experience. However, this finding runs counter to the commonly accepted knowledge summarized by former leaders of the National Academy of Engineering Wulf and Fischer as “Present engineering faculty tend to be very capable researchers, but too many are unfamiliar with the worldly issues of ‘design under constraint’ simply because they’ve never actually practiced engineering.” While this knowledge is commonly accepted, prior reviews of the literature were unable to identify any studies that quantified this lack of practice experience among engineering faculty. A finding further supported by discussions with engineering education programs officers at the NAE. This work seeks to close that gap through examination of the backgrounds of a representative national sample of engineering faculty. The collection looked at faculty from fifteen different universities representing each of the three Carnegie research classifications. For each university, faculty backgrounds from three different programs were collected and examined using faculty’s publicly available curriculum vita and professional social media identity (i.e. LinkedIn). Through this analysis a composite profile is created that shows the differences in practice backgrounds of faculty, considering type of appointment (level, tenurable vs. non-tenurable) and engineering field. Significant differences are found in many categories, supporting some aspects of the commonly held beliefs.
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- Award ID(s):
- 1664231
- PAR ID:
- 10089983
- Date Published:
- Journal Name:
- Proceedings of the American Society for Engineering Management (ASEM) International Annual Conference (IAC)
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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