Learning Resources

Abstract: This article applies the three stages of change (mobilization, implementation, and institutionalization) to the academic curricular process change that occurred during the 2014–2015 academic year at the Indiana University of Pennsylvania. Reflecting on the manner in which this major initiative was conceptualized and executed has revealed an inadvertent yet seamless application of Curry’s (1992) organizational change model. Throughout each stage of this organizational change, some inherent principles were maintained while balancing the required condensed timeline for completion. These principles included consistent and transparent consultation with many branches of the university community and revision of proposed processes based on feedback from community members. The goal of the authors in sharing the change process at IUP is to provide potential insights for others on recognizing a need for organizational process revision. The authors highlight the actions taken at IUP, offer recommendations, and identify potential hazards to institutions contemplating organizational change.

Abstract: From demographics and social change to politics and technology, many trends impact planning in higher education. SCUP’s Trends for Higher Education is designed to help you and your institution make sense of the most significant evolutionary forces.

This edition focuses broadly on change in higher education. We look through an array of different lenses to gain some perspective on issues and opportunities that appear to be on the horizon—or at our doors.

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: The past two decades have seen great social change and both massive consolidation and expansion of institutions of higher education, clearly presenting circumstances warranting the use of formal approaches to planning. Varying planning theories, past failures and successes, and differing circumstances have generated several partially contrasting planning models to guide organizational change. Therefore, institutions of higher education have a variety of such approaches from which to choose. This article presents a case study illustrating the use of several approaches to planning that is distinctive because it relies heavily upon experience-based planning, examples of which are unfortunately lacking in the literature base.

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.

Abstract: Tri-County Technical College in northwestern South Carolina developed a proactive academic program strategy to determine which programs will be offered in the future, including where, how, and when. The process also evaluates which existing programs will be maintained or grown. Business and industry have long used product strategies to determine what will be delivered to market to best meet consumer needs; similarly, Tri-County created a program strategy to be more responsive in meeting employer and community needs. The approach is necessarily nimble, responding to labor market changes, political interests, governance assessment requirements, and the need for continuous program improvement. Using this proactive approach, academic programming decisions can strategically impact curriculum design, enrollment management, learner support and engagement, student transitions programming, and facilities design. Processes and tools were co-created by faculty and staff and incorporated into their roles, negating the need for initial buy-in. Overall, an effective program strategy improves both student access and success while helping the college be more nimble in meeting emerging labor market needs.

Abstract: Student success analytics promise to dramatically improve our capacity to increase student success across the entire spectrum of the student life cycle and throughout the student experience. Institutions will move beyond institutional accountability statistics to improve performance at the level of student success processes, practices, and interventions. Ultimately, these new processes, practices, and interventions promise to enable institutions to reinvent and personalize approaches to success.
By leveraging analytics and data science, leading-edge institutions “optimize” student success for individuals and cohorts by making student success a mission-critical, overarching institutional strategy. “Student success science” is a critical ingredient in reimagining higher education. This article provides a road map for institutional leaders on how to raise their analytics IQ so that they can leverage these practices to better serve their students, improve performance, and demonstrate value.
The use of analytics is potentially a key ingredient in sense making and decision making in all aspects of institutional performance and is critical in improving student success. Enlightened higher education leaders are committing to analytics and data science that deliver active interventions that improve student success.