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Conference Presentations

Published
July 8, 2017

2017 SCUP–52 Annual Conference | July 2017

Benchmark Your Digital Capabilities to Improve Student Success

You will learn how to assess your institution’s digital capacity for student success technologies so you can affect costs and improve outcomes with new analytics tools and services.
Abstract: Planners and institutional leaders need to understand the relevance of digital capabilities and IT capacity as they relate to student success. This session will improve your understanding of digital capabilities needed to achieve student success and discuss how you can inform integrated planning efforts with IT benchmarking data. You will learn how to assess your institution’s digital capacity for student success technologies so you can affect costs and improve outcomes with new analytics tools and services.

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Planning for Higher Education Journal

Published
July 1, 2013

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Assessing the True Cost of Student Housing for Community Colleges

A campus housing project can only truly be successful if it is in line with the strategic mission of the institution.

From Volume 41 Number 4 | July–September 2013

Abstract: Introducing housing on a community college campus will affect several areas of campus life including dining, security, recreation, and student programming. Unlike four-year institutions, community colleges have limited activity after a certain hour with the exception of library and recreational facilities. Additional programs and services will be needed to support a 24-hour operation, which will have an impact on the overall operating costs of the college. This article is intended to identify the direct and indirect costs involved and assess the overall financial impact of operating student housing.

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Planning for Higher Education Journal

Published
April 1, 2010

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What Drives Instructional Costs in Two-Year Colleges

Data from the Kansas Study of Community College Instructional Costs and Productivity

In community colleges, who delivers instruction is more important in driving costs than what is taught.

From Volume 38 Number 3 | April–June 2010

Abstract: Until recently, there has been no credible, reliable source for instructional cost data on a national basis for two-year colleges in the United States. To fill this need, the Kansas Study of Community College Instructional Costs and Productivity was designed and implemented as a national data collection and reporting consortium. Based on the four-year college and university Delaware Study of Instructional Costs and Productivity, the Kansas Study collects and reports community college instructional costs and faculty workload at the academic discipline level of analysis. This article analyzes aggregate national data from the Kansas Study to determine the major instructional cost drivers for community colleges nationwide.

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Planning for Higher Education Journal

Published
April 1, 2010

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Understanding the Cost of Public Higher Education

In the case of higher education costs, diametrically opposed views have persisted over time. Why?

From Volume 38 Number 3 | April–June 2010

Abstract: This article explains the cost of education in public research universities. “Price,” meaning “tuition,” is often incorrectly substituted for “cost,” meaning expenditures by the university that make the education possible. University cost is disaggregated to enable readers to distinguish between the costs associated with providing education to students and the costs of other non-educational activities that tend to produce their own revenue. While tuition has increased rapidly, real cost per student for providing education has been roughly constant for nearly 20 years. Increased revenue from tuition has been almost precisely offset by reduced revenue from state appropriations.

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Report

Published
January 1, 2008

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2007 Campus Facilities Inventory (CFI) Report

How are institutions using their space? This report from the SCUP Campus Facilities Inventory (CFI) aggregates space data submitted to the CFI survey from 2006 and 2007.
Abstract: This report from the SCUP Campus Facilities Inventory (CFI) aggregates space data submitted to the CFI survey from 2006 and 2007. Institutions submitting a CFI survey quantify how their space is allocated using classifications from the National Center for Education Statistics (NCES) Facilities Inventory and Classification Manual (FICM).

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Planning for Higher Education Journal

Published
March 1, 2005

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Planning for Cost-Efficiencies in Online Learning

Planning and planners must take the lead in ensuring that the design of on-line learning programs is both cost-efficient and productive. This must happen with some urgency because the gap between online learning models and implementation has been closing more rapidly than planners’ knowledge about online learning has been growing.

From Volume 33 Number 3 | March–May 2005

Abstract: This article proposes a framework that can help institutions break down and analyze the costs of online learning so they can make decisions about how to improve the cost-efficiencies of online education. The framework involves looking at costs across elements (which include the two stages of development and delivery plus administration of the enterprise) and seven factors: students, faculty, other staff, course design, content, infrastructure, and policy. The elements and factors may combine and interact, thereby improving (or not improving) cost-efficiencies. Where possible, current research results are included and areas where research is needed are identified.

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Planning for Higher Education Journal

Published
March 1, 2005

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Understanding Higher Education Costs

Colleges and universities must be more proactive in describing to a wider public their of fiscal and human resources because, among other reasons, a careful analysis reveals counterintuitive results that support a finding that higher education has been fiscally responsible.

From Volume 33 Number 3 | March–May 2005

Abstract: Public discussion of higher education costs frequently confuses price with expenditure. This article examines factors associated with increases in the sticker price of a college education and the expenditures incurred by institutions in delivering that education. The discussion suggests that while growth in college tuition is real, access to higher education has not been reduced. Moreover, data indicate that colleges and universities have been responsible fiscal stewards in containing costs over which they have control.

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Planning for Higher Education Journal

Published
December 1, 2004

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An Integrative Model for College and University Programs

A new method for program planning is proposed, based on identifying and benchmarking “student-winners” and “student-qualifiers,” that may find its most appropriate use in vertically-integrated planning within an academic unit such as a business school.

From Volume 33 Number 2 | December–February 2004

Abstract: A strategic planning model for colleges and universities is presented which integrates competitive benchmarking and an adaptation of Hill’s manufacturing strategy model. Hill’s model is altered to focus on student-winners and is used to design programs of study and supporting services. Benchmarking is used as a key component of the planning process. This model is based on integrating program strategy with recruiting strategy to satisfy the needs of stakeholders including students, faculty and industry recruiters. A planning context is developed and a modeling example is presented. This paper responds to the need for improvements in traditional strategic planning in higher education to develop a more holistic and integrative approach.

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