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Planning for Higher Education Journal

Published
November 15, 2021

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Book Review: Big Data on Campus

Data Analytics and Decision Making in Higher Education

From Volume 50 Number 1 | October–December 2021

Abstract: Edited by Karen L. Webber and Henry Y. Zheng
Johns Hopkins University Press: Baltimore: 2020
324 pages
ISBN: 978-1-4214-3903-7

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Planning for Higher Education Journal

Published
May 15, 2020

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Reduce Curriculum Costs While Increasing Student Enrollment

Optimizing Academic Balance Analyses Let Kentucky Institutions Stay Competitive

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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Planning for Higher Education Journal

Published
April 16, 2020

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Can You Trust Your Eyes?

Learn How to Minimize Misinterpretation of Data Reports and Visualizations

Volumes of data are available to administrators to support decision-making. But that doesn’t mean that what’s been presented is accurate. When data are misused or misconstrued, senior leaders at higher education institutions may make the wrong conclusions, ineffective policies may be enacted, and students may not be successful in completing their academic goals.

From Volume 48 Number 2 | January–March 2020

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.

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Planning for Higher Education Journal

Published
January 1, 2018

An Approach to the Preparation or Revision of a Master Plan for a Nigerian Polytechnic

Whether preparing a plan for a proposed institution or revising a plan for an existing institution, following a carefully designed approach greatly facilitates the realization of the institution’s vision and mission.

From Volume 46 Number 2 | January–March 2018

Abstract: This article presents an approach for the preparation of a feasible master plan for a proposed polytechnic. It identifies and discusses key steps common to all methods used in the preparation of an institutional master plan. The object is to provide pertinent information to guide the preparation of a master plan that ensures a successful implementation and fulfillment of the institution’s objectives. It was concluded that the adoption and implementation of an appropriate master plan for a named polytechnic greatly facilitates the realization of the institution’s vision and mission.

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Planning for Higher Education Journal

Published
July 1, 2017

Eight Themes in Strategic Planning

Reflections from a Year of Focused Learning

Strategic planning and how higher education leaders use strategic planning to move their institutions forward are changing to remain relevant in today’s highly competitive and fast-moving environment.

From Volume 45 Number 4 | July–September 2017

Abstract: A year of focused learning on strategic planning at colleges and universities across the nation revealed eight key themes in strategic planning as well as how university leaders are using strategic planning to move their institutions forward and how strategic planning is changing. Strategic plans (1) have shorter time spans, (2) include goals in broad brush strokes, (3) have strong communication plans, (4) present their complex goals in simplified form, (5) use data, (6) distinguish their institutions, (7) are aligned with other plans, and (8) require strong leadership.

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Planning for Higher Education Journal

Published
January 1, 2017

The Creation of an Integrated Services Division to Advance University Strategic Initiatives

Combining the typically siloed services required to support the strategic work of universities into one department results in more effective integrated planning and institutional advancement.

From Volume 45 Number 2 | January–March 2017

Abstract: The services required to support the strategic work of universities often exist in silos, and this disconnection can impede the advancement of new initiatives. To prepare for a complex new program, a number of analytical processes need to occur—background research, environmental scans, and benchmarking. To develop the initiative, strong facilitation and project management skills are also required. To ensure the initiative’s success, careful space planning and financial planning must exist along with the development of evaluative measures to monitor progress. This article describes how one university combined these services into a single department to more effectively support the strategic work of schools, divisions, and campus-wide programs.

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Planning for Higher Education Journal

Published
October 1, 2007

Traffic Congestion on a University Campus

A Consideration of Unconventional Remedies to Nontraditional Transportation Patterns

Universities are in a special position to take information related to the patterns and causes of congestion and apply it to their planning goals. In particular, they can work effectively to reduce demand.

From Volume 36 Number 1 | October–December 2007

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.

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Planning for Higher Education Journal

Published
April 1, 2006

Visualization of Academic Efficiency and Productivity

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.

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