SCUP
 

Learning Resources

Your Higher Education Planning Library

Combine search terms, filters, institution names, and tags to find the vital resources to help you and your team tackle today’s challenges and plan for the future. Get started below, or learn how the library works.

FOUND 30 RESOURCES

REFINED BY:

  • Tags: Datax

Clear All
ABSTRACT:  | 
SORT BY:  | 
Example Plans

Published
September 14, 2020

Supporting Document

Public Doctoral/Research University (California, United States)

This layperson-friendly document lists the institution’s publicly accessible dashboards, what data each provides, and sample questions that each can help answer.

Member Price:
Free  | Login

Member-only Resource

Join now to have access

Webinar Recordings

Published
August 27, 2020

Featured Image

Academic Program Portfolio Planning

Preparing to Thrive

By: Steve Probst, Senior Partner, Gray Associates, Inc. (Moderator) | William Massy, Professor Emeritus and Former CFO, Stanford University; Former President, The Jackson Hole Higher Education Group, Inc. | Antoinette Farmer-Thompson, Deputy Vice President, Educational Outreach & Student Services, ASU University; Design Institute Expert in Residence; Former Dean and Senior Vice President, Institutional Effectiveness | Nicholas Santilli, Senior Director for Learning Strategy, Society for College and University Planning (SCUP); Professor Emeritus of Psychology, John Carroll University

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.

Member Price:
Free

Non-Member Price:
Free

Planning for Higher Education Journal

Published
May 15, 2020

Featured Image

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.

Member Price:
Free  | Login

Member-only Resource

Join now to have access

Planning for Higher Education Journal

Published
April 16, 2020

Featured Image

Can You Trust Your Eyes?

Learn How to Minimize Misinterpretation of Data Reports and Visualizations

By: Karen L. Webber

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.

Member Price:
Free  | Login

Member-only Resource

Join now to have access

Conference Presentations

Published
October 28, 2019

2019 North Central Regional Conference | October 2019

Predictive Analytics

Harness Digital Information for a Current Master Plan

By: Robert R. Bell, Zachary E. Zettler

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.

Member Price:
Free

Non-Member Price:
Free

Blog Post

Published
September 6, 2019

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

By: Sadie Wutka, Director of Content Strategy, SCUP

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.

Member Price:
Free

Non-Member Price:
Free

Conference Presentations

Published
March 27, 2019

2019 Pacific Regional Conference | March 2019

Using Data to Drive Peer Group Selection

By: Lyrae A. Williams

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.

Member Price:
Free

Non-Member Price:
Free

Conference Presentations

Published
March 20, 2019

2019 Mid-Atlantic Regional Conference | March 2019

Innovative Data Tools That Support Capital and Facilities Planning

By: Julianna Carney, David DeBoer

In this session, we will discuss data strategies for capital and facilities planning that enable real-time mobile access to planning tools, automated project tracking, metrics, and building transparency in order to support the planning and execution process.
Abstract: Innovative leaders must promote and cultivate a data culture that informs decision making across an institution. In this session, we will discuss data strategies for capital and facilities planning that enable real-time mobile access to planning tools, automated project tracking, metrics, and building transparency in order to support the planning and execution process. Come learn about agile development of available open source tools that enable cost-effective data strategies, including automated processes, and the development and implementation of planning and execution tools.

Member Price:
Free

Non-Member Price:
Free

Planning for Higher Education Journal

Published
October 1, 2007

Traffic Congestion on a University Campus

A Consideration of Unconventional Remedies to Nontraditional Transportation Patterns

By: David H. Kaplan,Thomas Clapper

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.

Member Price:
Free  | Login

Member-only Resource

Join now to have access

Planning for Higher Education Journal

Published
April 1, 2006

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.

Member Price:
Free  | Login

Member-only Resource

Join now to have access