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Report

Published
July 12, 2021

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2021 Campus Facilities Inventory (CFI) Report

The 2021 Campus Facilities Inventory (CFI) report’s valuable facilities benchmarking data will help college and university leaders understand not only what they have now and how it compares, but also how things might change in the future.
Abstract: As leaders of colleges and universities continue to analyze changes today and plan for the future, the knowledge and insight from the SCUP community is critical. The 2021 Campus Facilities Inventory (CFI) report’s valuable facilities benchmarking data will help college and university leaders understand not only what they have now and how it compares, but also how things might change in the future.

The CFI report consists of three sections that provide a holistic picture of today—while enabling institutions to crowd-source a vision for the future: Current space use data, anticipated changes to space, and qualitative space changes.

Data are reported only in aggregate, protecting the privacy of each institution. Reporting focuses on findings and comparison tables by institution type (i.e., four-year public, four-year private, and two-year public), location (i.e., urban, suburban, rural), and size (i.e., enrollment, ­ 20,000).

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Conference Recordings

Published
October 20, 2020

2020 North Central Regional Conference | October 2020

Minnesota Sustainable Building Guidelines

Improving Human Experience on Campus

The University of Minnesota follows the state’s sustainable building guidelines, specifically Indoor Environmental Quality (IEQ), and uses post-occupancy evaluations (POE) to measure user satisfaction with campus buildings. In this session, we’ll demonstrate how to implement sustainability initiatives, which have a significant impact on campus building performance and by extension, user performance and wellbeing.
Abstract: The University of Minnesota follows the state’s sustainable building guidelines, specifically Indoor Environmental Quality (IEQ), and uses post-occupancy evaluations (POE) to measure user satisfaction with campus buildings. In this session, we’ll demonstrate how to implement sustainability initiatives, which have a significant impact on campus building performance and by extension, user performance and wellbeing. Establishing a system of post-occupancy evaluation can provide you with the IEQ intelligence you need for data-driven design criteria. Come learn how to design sustainable user-friendly environments and evaluate measurable facility user outcomes on your campus.

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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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Conference Presentations

Published
July 14, 2019

2019 Annual Conference | July 2019

Post-Occupancy Evaluation for Active Learning Environments

Methodologies, Results, and Impacts

We will explore exemplary active-learning environments and the evaluation methodology we used to measure how these environments have elicited learning behaviors that foster student engagement.
Abstract: Post-occupancy evaluation (POE) of learning space is now an essential tool for institutions to align capital decisions with student performance. We will explore exemplary active-learning environments and the evaluation methodology we used to measure how these environments have elicited learning behaviors that foster student engagement. You will learn which aspects of the learning environment are important to measure, how to measure them, and how the collected data connects to metrics that matter to institutions.

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Conference Presentations

Published
March 27, 2019

2019 Pacific Regional Conference | March 2019

Using Data to Drive Peer Group Selection

You will learn an approach for developing a data-informed peer group and how benchmarking with a peer group can inform your institution's governing board and be linked to mission.
Abstract: Institutional data trends over time is important to show progress or areas of concern. It can be equally important to compare oneself to like institutions. Have you ever thought about how a peer group gets determined? If you have a peer group, have you ever wanted to evaluate the group using data? You will learn an approach for developing a data-informed peer group and how benchmarking with a peer group can inform your institution's governing board and be linked to mission.

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Conference Presentations

Published
March 27, 2019

2019 Pacific Regional Conference | March 2019

Taking POE to the Next Level to Measure Space Performance

Taking post-occupancy evaluation (POE) to the next level, tools have been developed to reveal the measurable factors defined by users’ actions: frequency, duration, and usage of a desk, room, building, and campus.
Abstract: Measuring environmental comfort and user preferences gives insights into qualities of space that enhance health and educational performance. Taking post-occupancy evaluation (POE) to the next level, tools have been developed to reveal the measurable factors defined by users’ actions: frequency, duration, and usage of a desk, room, building, and campus. Unveiling the data and recognizing the trends provides actionable outcomes for operations and maintenance as well as the design of future projects.

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Planning for Higher Education Journal

Published
January 1, 2019

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Developing a Benchmarking Survey for Academic Members of an International Academy

How to Create and Refine Tools and Collect Data for Measuring Performance

Toward sharing metrics between institutions and their academic programs, we discuss ways to identify critical components to be measured, navigate process challenges, and transfer knowledge.

From Volume 47 Number 2 | January–March 2019

Abstract: Benchmarking surveys assist programs with measuring performance and are widely used in a variety of organizations and disciplines, including institutions of higher education. One challenge facing institutions concerns a lack of shared metrics among those with similar programs. This article details the history and creation process of developing a benchmarking survey for an international academy. The purpose is to highlight the need for shared metrics between institutions, and to provide an account of the approach used for developing a benchmarking survey for academic programs. A detailed narrative of survey creation, refinement, and data collection associated with four survey iterations is included. Recommendations are provided for benchmarking development processes that may be beneficial for various institutions and disciplines regarding survey development, survey deployment, and survey project team composition.

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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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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
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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