Learning Resources

Abstract: Scenario planning generates multiple well-crafted contradictory narratives about the future to anticipate possible outcomes of environmental forces with the potential to impact an institution. It is important to note that scenario planning does not seek to predict an uncertain future. Instead, engaging in scenario planning provides an institution with the capacity to plan for potential outcomes that may interrupt institutional progress.

Abstract: “Smart change” requires an understanding of when and how to employ routine, strategic, and transformative change. Amid COVID-19, we face an existential threat that demands institutions reimagine higher education as more inclusive, affordable, relevant, and successful. To do so, planners/leaders must emphasize the well-being and success of student/faculty/staff; develop scenarios for sustainable business models; design, develop, deliver, and train instructors to teach across and with all modalities; build collaborative networks within and across institutions; and connect with local, state, and regional businesses and industry.

Abstract: An Optimizing Academic Balance (OAB) analysis provides colleges and universities with effective tools to use in making strategic academic decisions needed to stay competitive in the context of institutional mission, program quality, market potential, cost, and revenue. The Association of Independent Kentucky Colleges and Universities recently completed a three-year statewide OAB project with the participation of 13 higher education institutions. The results supported the colleges and universities in making tough decisions.

Abstract: Jim Downey, VP for planning and institutional effectiveness at Pittsburgh Theological Seminary, and Chris McCord, acting executive VP and provost, Northern Illinois University, moderated this Coffee Chat on Scenario Planning.

Abstract: Data analytics related to student and institutional performance have evolved quite rapidly—and continue to advance—as the field of data science captures more attention across the higher education sector. And while data-informed decisions can help institutional leaders achieve their goals, there are increasing examples of analyses or visualizations that, when presented without the proper framework, result in misinterpretation and inaccurate conclusions. Context is critical, and erroneous deductions may lead to decisions that adversely affect student performance, program development, and policy changes.

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: 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.

Abstract: The contemporary university operates within a global context characterized by ever-increasing uncertainty and complexity. Strategic planning must, therefore, be cognizant of future trends and how those trends will affect the university by creating both threats and opportunities. Our hypothesis is that an approach we refer to as “strategic foresight” can provide us with the tools, methodology, and process to creatively address uncertainty and complexity in our working environment. Dublin City University has taken the lead in Ireland in terms of its emphasis on strategic planning. Its 2005–2008 strategic plan, Leadership Through Foresight, was part of an ambitious foresight exercise that was aimed at informing subsequent strategic cycles. This article reports on this process in the context of the wider literature examining the value of foresight/futures thinking as applied to universities. The article commences with a review of current uncertainties and complexities in the current operating environment. It broadly outlines foresight/futures thinking and then examines universities specifically. It continues by focusing on Dublin City University’s foresight exercise as an example of how foresight operates in practice. Finally, the article concludes by exploring what a strategic foresight approach to planning might look like based on that experience.

Abstract: Using a case study, this article describes a method by which higher education institutions construct and use multiple future scenarios and simulations to plan strategically: to create visions of their futures, chart broad directions (mission and goals), and select learning and delivery strategies so as to achieve those broad directions. The four scenarios described in this article are written by combining two assumed “external” sets of future trends and conditions with two “internal” sets of institutional policies. Simulation of future college enrollment under each scenario enables planners not only to mitigate uncertainty and explore implications of different numbers of students but also to analyze the characteristics of these students to design educational content and delivery that is learning centered and, therefore, likely to be effective. The simulations also frame fiscal issues for a broad range of future conditions, thereby alerting planners to long-range strategies and options such as distance learning, partnering, and differential pricing, among others, that might not otherwise have been pursued.

Abstract: Book Review of A Guide to Decision Making in Student Affairs: A Case- Study Approach, by Stanley R. Levy and Charles E. Kozoll. Charles C. Thomas, Publishers, Ltd., 1998. 178 pages. ISBN 0-398-06871-2