Learning Resources

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: Within the last several years, higher education institutions have embraced the language of an “anchor mission” to define their place-based commitments. This case analysis details the role of data in promoting systematic local change in six institutions participating in the Anchor Dashboard Learning Cohort. These institutions committed to measuring community impact through the Anchor Dashboard, a tool to understand and enhance local commitments along several social and economic dimensions. This article details the promises and pitfalls of developing an institution-wide, place-based mission led from different institutional levels—from the president’s office to faculty-led centers—using this data tool.

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.

Abstract: The community colleges in the State University of New York system leveraged “systemness”—the idea that working together can greatly enhance the possibility of positive results—in creating a statewide program to retrain dislocated TAA-eligible workers and returning veterans for high-quality, high-paying jobs in the skilled manufacturing sector. By aligning with the strengths of each college, curricula in areas such as photonics, optics, advanced manufacturing and machining, and semiconductors and mechatronics were created, leading to a diploma or certification and thus to increased probability of hiring. Regional employers and government workforce agencies were also part of the leadership teams, helping to create programming that was specifically focused on the needs of these vital industries.