Learning Resources

Abstract: In 2013, the article Planning for the Future: The Impact on the Public University Diversity Budget in Time of Recession reported the impact of the 2008 recession on college and university student affairs diversity unit budgets. Colleges are again faced with another economic downturn with looming budget cuts. The purpose of this article is to revisit the idea of whether primarily student affairs diversity units are hit harder than other institutional units in fiscal cuts and the potential effect that current events related to diversity programming initiatives have had on campus planning. The article explores the status of these budgets during fiscal uncertainty and the social awareness around campus-wide diversity, equity, and inclusion and its prioritization.

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: 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: The article presents a framework for integrating assessment, strategic planning, and resource allocation at all levels of an institution. For that purpose, data are collected from academic departments and non-academic units. They are then integrated with strategic planning metrics into an assessment report that identifies the resources that need to be allocated, and to evaluate progress toward developing a strategic plan. The framework can be applied at the departmental or unit level, as well as at the institutional level. It provides valuable input for the budget process and can be used for updates in strategic planning.

Abstract: The thickening and expanding digital layer of our world has prompted us to reevaluate how we navigate through it and also what, why, where, when, and how we read the things within it. In an institutional setting, reading for learning and research is no longer confined to the printed page or the campus; this has led to a hubbub by those who fear an embrace of digital technologies will in some way diminish students culturally, intellectually, creatively, and emotionally. Sorting through the hubbub, there is reason to be optimistic as examples abound of how the digital layer enhances learning and knowledge creation. Institutions have an important role here: they have the heft to help drive innovative practices, policies, technologies, materials, and spaces for reading now and tomorrow in this hybrid physical-digital information landscape.

Abstract: U.S. transportation data suggest that the number of vehicle miles traveled has far surpassed new capacity, resulting in increased traffic congestion in many communities throughout the country. This article reports on traffic congestion around a university campus located within a small town. The mix of trip purposes varies considerably in this context, with the majority of trips related to student movement to and from classes. The university itself becomes a major traffic generator, but in a complex way. This article describes how congestion in a university setting differs from that in a nonuniversity setting; what components drive this congestion; how best to reduce this congestion while adhering to overall university planning objectives; and how to set a foundation for traffic management strategies that provide environmental, social, and economic benefit to the university and, importantly, to the surrounding community. The information presented here applies beyond the campus setting to any community that contains nontraditional traffic generators and shows why context does matter when analyzing and managing traffic.

Abstract: A simple and readily understandable visual display of quantitative measures of academic efficiency and productivity is demonstrated in this article. This graphical construction facilitates annual comparisons of unit efficiency and productivity as well as an analysis of temporal changes in unit activity. By establishing a common framework upon which a data-driven conversation regarding unit activity is constructed, this method produces a single graphical representation of the activities of any academic unit. As such, this technique assists academic decision makers with goal setting, resource allocation and reallocation, and the program prioritization process.