Learning Resources

Abstract: In this conversation, William Knight, Assistant Provost for Institutional Research and Effectiveness, Miami University, addresses how his team has developed data dashboards for administration and faculty to provide insight into Learning Management System (LMS) use, enrollment projections, and overall student access and success. He then discusses trends he’s noticed at HLC and thoughts on how campuses can begin discussions around staff capacity, curriculum success, and sunsetting programs, ultimately strengthening their sustainability and easing accreditation work.

Dr. Bill Knight has two roles on campus—working on IR and IE, and serving as the accreditation liaison. He is also a peer reviewer for the Higher Learning Commission (HLC).

Host: Nicholas Santilli, Senior Director of Learning Strategy, SCUP, and Former Provost, John Carroll University

Abstract: FLEXSpace—The Flexible Learning Environments eXchange—and the Learning Space Rating System (LSRS) are tools that can help you plan, design, assess, and improve learning spaces on your campus. In this session, you will learn about the newly released FLEXspace 2.0 along with the LSRS. We'll cover the features and benefits of both tools and how they can be incorporated into the planning process. Come learn how to use these tools to inform designs and support end users from planning through post occupancy.

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: 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: 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.