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Title: Systems Engineering Initiative for Student Success (SEISS) Framework for Transforming Organizational Designs
In this paper, we present the Systems Engineering Initiative for Student Success (SEISS) framework we are developing for enabling educational organizations to scan, evaluate and transform their operations to achieve their diversity, equity, and inclusion goals in student recruitment, retention, and graduation. The underlying structure and logic in our SEISS framework is that an organization such as a college of engineering is a sociotechnical system (STS) consisting of a social subsystem and a technical subsystem. The social subsystem consists of people, their roles and is a model of who talks to whom about what. The technical subsystem consists of all the activities, programs, policies, and operations that help the organization achieve its goals. In a sociotechnical system, the social and technical subsystems are interdependent in their functioning, and they must be jointly optimized from an organizational design perspective. Our SEISS framework which views a college or a similar organizational unit as a sociotechnical system lends the organizational designer a unique systems lens with which to view, analyze and design the operations and organize the capacities and resources in the college. The systems lens views an organizational unit, its sub-systems, components, and its corresponding capacities not in isolation, but as entities that interact with each other. With support from an NSF IUSE grant, we have been developing the SEISS framework and have piloted the framework in a predominantly white college of engineering to identify existing and potential technical and social system capacities for underrepresented minority (URM) students to succeed in the college. Preliminary results from our qualitative analyses of URM student interviews reveal the utility of the SEISS framework and the STS lens in unearthing the barriers and enablers for these students in the social and technical subsystems in the college. We also model the interactions between the social and technical subsystem elements in the SEISS framework, revealing latent opportunities for leveraging the connections between the social and technical subsystem capacities and resources.  more » « less
Award ID(s):
2042363
PAR ID:
10463565
Author(s) / Creator(s):
; ; ;
Date Published:
Journal Name:
ASEE 2023 Annual Conference and Exposition
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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