Learning Resources

Abstract: Literature points out that big data and analytics (BDA) still fails to positively influence institutional planning—even though it's promoted as a novel approach to improving efficiency and effectiveness. What limits the usefulness of BDA? Researchers point to a lack of conceptual models that translate information into meaningful signals. Nonsense! We're using a metrics-based planning framework that's producing remarkable outcomes. We'll share our framework and how you can apply this concept at your institution.

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: 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: In 2009 the Arizona University System (supporting over 130,000 enrollments) through its Board of Regents directed its board president and the presidents of Arizona State University, University of Arizona, and Northern Arizona University to create an operational plan that reflected the board’s vision, goals, and strategic directions. A primary objective was to transform the system (or enterprise) vision into concrete goals and outcomes that would directly connect to financial decision making at the system and university level. The backdrop for higher education planning and budgeting expectations included the continuation of severe reductions in state funding, rapidly increasing student tuition and fees, and a call for greater accountability. The planning processes were characterized by the integration of board and presidential discussions, inclusion of constituent debate, identification of strategic choices, and approval of outcomes focused on measuring performance. The integration ran across and within three organizations or levels that included the Arizona Board of Regents, its system administration, and the three universities.

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: This article explores how the University of the West Indies can become economically sustainable and relevant by using its human capital to generate wealth and develop strong linkages between academia, the private sector, and governments. It makes a clear distinction between institutional and research-driven innovations, listing examples and best practices found throughout the university. Further, it presents a practical road map for enhancing both organizational- and research-based innovations within the university while aligning its vision of becoming an innovative institution with government policies and the private sector agenda. It also proposes key performance indicators to benchmark innovations at the university that can be emulated by other tertiary level institutions regionally and internationally.