Learning Resources

Reduce Curriculum Costs While Increasing Student Enrollment

Optimizing Academic Balance Analyses Let Kentucky Institutions Stay Competitive

By: Kenneth L. Hoyt

Results of the study supplied evidence needed to support tough institutional decisions. The 13 Kentucky colleges and universities that participated in the research now have critically important data to use in making choices about how they best serve their students, maximize scarce resources, and sustain financial stability.

From Volume 48 Number 3 | April–June 2020

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.

A Follow-Up

An introduction to the Optimizing Academic Balance process and early results of the research were published in the 2015 Planning for Higher Education article, “Reshaping Your Curriculum to Grow the Bottom Line,”. The current article, with final research data, represents the study’s wrap-up report.

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Visualization of Academic Efficiency and Productivity

By: Carl N. Drummond

The author describes a method to display a variety of quantitative information in a compact, easy-to-understand way, providing an analytical tool useful in analyzing and comparing the relative strengths and weaknesses of an academic unit over time or in comparison with others.

From Volume 34 Number 3 | April–June 2006

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.