Learning Resources

Abstract: When St. Cloud State University found itself with too much aging infrastructure but not enough right-sized spaces or enough funding or rationale for new facilities, their comprehensive facilities planners took a deep dive into data. They used a highly inclusive process to create a CFP that guided strategic decisions and shifted institutional culture.

Abstract: The City University of New York's (CUNY) Accelerated Study in Associate Programs (ASAP) assists students in earning associate degrees within three years by providing a comprehensive range of financial, academic, and personal supports. Completion rates at community colleges remain extremely low; however, CUNY's ASAP students earned their associate degrees at substantially higher rates than non-ASAP students, even when a longer timeframe was considered. In this session, you will learn about CUNY's ASAP model, how it receives operating and capital funding, and how the physical spaces that support the program were identified, designed, and renovated.

Abstract: Data is only as powerful as your understanding around it. Analytics makes possible new understandings of students and their needs, and creates an advanced ability to improve student success through use of new software being implemented on campuses around the world.

This handbook is designed to help any higher ed leader unleash the power of data that is always available but seldom leveraged. It helps to answer the questions, (1) How does a campus strategically develop a plan for use of analytics in better supporting their students? (2) Once a culture is in place, how do leaders effectively move new evidence into action? This primer walks readers through each step of the analytics adoption.

Abstract: The newly consolidated Augusta University implemented an annual planning and resource alignment process to streamline procedures and integrate strategic efforts across the institution. This process fosters transparency in each unit's accomplishments, challenges, and priorities by holding annual open hearings that culminate with executive-level feedback on units’ annual plans and prioritization for fiduciary support. You will gain ideas for implementing such a process at your institution by exploring timing considerations, content of hearings, planning templates, and follow-up reporting and monitoring.

Abstract: Academic strategic planning can be difficult given the bevy of stakeholders and often multiple sets of accreditation criteria. Recognizing the limits of the traditional SWOT model, our program chose to use the Strategic Planning Engine model. The model itself is quite laborious, and to increase its usability, we simplified the environmental assessments. Our results proved to be useful and relevant, and we developed a series of feasible objectives. In this article, we describe and evaluate our experience. In comparison to SWOT, we found this process to be more objective and replicable, scalable and responsive to multiple criteria, flexible to accommodate changing strategic plans or criteria, and transparent. With that being said, we caution about the level of labor required and organization and communication needed. Finally, we recommend implementing a leadership team, a communication plan, and a plan on how to respond to uncontrollable circumstances and developing a level of comfort with limited resource allocation.

Abstract: In this second of a two-part series, the author details the progression of steps needed to complete a typical capital improvement project. There are a lot of moving parts, and the article carefully explains how each must mesh to achieve a satisfactory conclusion. Educators and administrators alike will benefit from this overview of procedures that many may not be familiar with. With this guidance, even the most complex project can be accomplished effectively and efficiently.

Abstract: Planners and institutional leaders need to understand the relevance of digital capabilities and IT capacity as they relate to student success. This session will improve your understanding of digital capabilities needed to achieve student success and discuss how you can inform integrated planning efforts with IT benchmarking data. You will learn how to assess your institution’s digital capacity for student success technologies so you can affect costs and improve outcomes with new analytics tools and services.

Abstract: Institutions are managing numerous student success initiatives simultaneously, but they lack the necessary data and infrastructure to evaluate outcomes. They also struggle to clearly link a particular initiative to a specific individual outcome. Using prediction-based propensity score matching (PPSM), a methodology compliant with the U.S. Department of Education’s What Works Clearinghouse’s requirements, we facilitated the analysis of key initiatives to measure efficacy, ensuring that outcomes of students participating are compared to control students with similar propensity. The recent work explored in this article helps two institutions understand the impact of their innovation and more precisely scale student support.