Learning Resources

Abstract: Planners are being asked to define programs earlier to facilitate the public-private partnership (P3) selection process for increasingly complex build types. This session will focus on how University of California Merced defined an academic and research science program for an unknown group of scientists to allow for a selection process, the resultant design dilemma faced by the architects, and how the team took on the challenge of modifying the generic laboratories.

Abstract: Through cross-disciplinary collaboration, Pennovation Works at the University of Pennsylvania has become a successful place for entrepreneurship in the 21st century. The Philadelphia campus unites research and private venture in a central innovation incubator and generates a diverse community, new economy, and enhanced visibility for its institution. We will reveal our methodology for how institutions can generate new economies, define an innovation campus identity, and utilize brownfields. Come learn how integrated design of collaborative space can inform a non-traditional innovation campus.

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 demand for graduates and technicians in the academic fields of science, technology, engineering, and mathematics (STEM) is influencing the design of specialized educational facilities in community colleges. Community colleges are increasingly aligning their academic programs to the specific economic development priorities and projected demand for skilled labor in the geographic regions they serve. It is expected that partnerships with local industry will increasingly shape curriculum development and facilities design. This trend is rapidly developing in California, where community colleges are incorporating sophisticated simulation laboratories, makerspaces, and innovation centers outfitted with advanced infrastructure and equipment, along with spaces that support the full spectrum of competencies required for graduates to succeed in the STEM labor market.

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.

Abstract: This article introduces an emerging, innovative practice in higher education: Integrated Planning and Advising for Student Success (iPASS). A research-based iPASS implementation framework is examined through a case study of Guttman Community College (CUNY), which is one year into its iPASS work. This case study, which shares practices and initial findings that include high levels of student, faculty, and staff engagement, is relevant to practitioners and academic leaders considering the use of, or in the early stages of, an iPASS approach, as well as those interested in effectively integrating technology that leads to improved student success and transformative institutional change.