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Webinar Recordings

Published
August 27, 2020

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Academic Program Portfolio Planning

Preparing to Thrive

In a competitive landscape, it is more important than ever to ensure the programs you offer align with demand in the market. We will discuss the data you need, and where to find it to evaluate market demand for academic programs, including critical data on student demand that is often overlooked.

This is part one of a three-part program series, “Integrated Planning to Build a Thriving Academic Program Portfolio.”

Abstract: This is part one of a three-part program series, “Integrated Planning to Build a Thriving Academic Program Portfolio.” These discussions will help you build a strategic and sustainable program portfolio that is mission-centered, data-informed, student-centered, and focused on growth opportunities.

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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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Example Plans

Published
February 26, 2020

Unit Plan

Private Doctoral/Research University (Massachusetts, United States)

The ten-year goals and strategic unit plan for the chemistry department at the university.

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Conference Presentations

Published
October 28, 2019

2019 North Central Regional Conference | October 2019

Predictive Analytics

Harness Digital Information for a Current Master Plan

We will discuss a computational metrics mobile app and how Miami University uses it for master planning.
Abstract: Long-range master plans make assumptions about the future, but historic data is actually a more reliable predictor. A master plan built on data, not assumptions, is also easier to adapt to changes. We will discuss a computational metrics mobile app and how Miami University uses it for its master plan. With practical tools and processes in hand, you will be able to prioritize available data, make more informed planning decisions, and align your team before executing future planning priorities on your campus.

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Free

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Planning for Higher Education Journal

Published
October 1, 2019

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Using Big Data

How Moneyball and an Ardent Baseball Fan Shaped Successful Metrics-Based University Planning

Over the last three decades, the University of Texas at El Paso has refined its planning system and integrated metrics within a comprehensive planning framework—to produce dramatic outcomes.

From Volume 48 Number 1 | October–December 2019

Abstract: Big data and analytics are promoted as an approach that can improve educational quality, student success, strategic and operational decision-making, and knowledge discovery. Over the last three decades, the University of Texas at El Paso has refined its planning system and integrated metrics within a comprehensive planning framework—to produce dramatic outcomes. The article describes the institution’s metrics-based planning approach and the context that produced it.

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Blog Post

Published
September 6, 2019

Higher Ed’s Missing Link: Turning Your Big Data Into Institutional Change

Most think there’s a tension between access and excellence—you have to choose one of the two. Not so, according to two planners from University of Texas El Paso (UTEP). Read this short recap from their presentation at the SCUP 2019 Annual Conference.

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Conference Presentations

Published
July 14, 2019

2019 Annual Conference | July 2019

Student Success

What's Space Got To Do With It?

We'll focus on tools and solutions that your institution can incorporate into its facilities planning process to ensure your learning spaces contribute to student success.
Abstract: There is increased demand to provide facilities that encourage student success. But how do you know if a space "works"? We will focus on how you can link your facilities planning to measurable student success. After reviewing broader national trends, we'll discuss metrics for student success and how space contributes to student success. Finally, we'll focus on tools and solutions that your institution can incorporate into its facilities planning process to ensure your learning spaces contribute to student success.

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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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Free

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Free