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Conference Presentations

Published
July 23, 2024

Open-concept Faculty Neighborhoods for More Collaboration and Communication

Traditional, siloed faculty offices are no longer the best option for serving student and staff needs.
Abstract: Traditional, siloed faculty offices are no longer the best option for serving student and staff needs. Open-concept faculty neighborhoods benefit staff by creating a collaborative working environment, and they benefit students by providing space for them to speak openly with professors. This session will demonstrate how innovative faculty neighborhoods increase collaboration and dialogue, supporting the working and learning experience for faculty, students, and the whole institution. We'll demonstrate how you can get the most out of your campus working environments by implementing creative layouts that are designed to boost collaboration and connection while retaining space for personal reflection and rejuvenation.

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Example Plans

Published
June 30, 2023

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Planning for Higher Education Journal

Published
March 24, 2023

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Transforming Data into Meaningful Information

Put Methodologies in Action with Data-Driven Integrated Planning

Leaders in two different accreditation regions share best practices and lessons learned from their integrated planning evolution and its impact on operational efficiency and student learning.

From Volume 51 Number 2 | January–March 2023

Abstract: Institutional success depends on long-term sustainability, connecting investments with outcomes, and creating a culture that is data-informed. As the role of institutional effectiveness expands across higher education, designing a comprehensive integrated planning process is critical. Integrated planning requires a unified approach to utilizing academic and administrative data for continuous improvement. However, this can be an overwhelming process for institutions, with many unsure of where to start. Learn from leaders in two different accreditation regions as they share best practices and lessons learned associated with their integrated planning evolution and its impact on operational efficiency and student learning.

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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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Blog Post

Published
October 15, 2021

Back to The Future

Institutional Research, Then and Now

October 2021 marks Planning for Higher Education’s 50th issue! To celebrate, we’re looking back at earlier articles in Planning to reflect on how things change (and, sometimes, how they don’t). Although not a totally new concept, the need for data-informed decision-making in higher education today requires contemporary knowledge and skill from institutional research (IR) colleagues. They transform data into actionable information nuanced with contextualized insights that are essential in integrated academic planning.

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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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Planning for Higher Education Journal

Published
January 1, 2013

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Unbundling the Issue of Faculty Productivity

Unbundling how faculty spend their time is a key driver of higher education purpose, institutional intent, and cost. It deserves to be unbundled into its component parts.

From Volume 41 Number 2 | January–March 2013

Abstract: The issue of better measurement of faculty productivity is securing increasing attention from national and state sources. Most discussion of this important topic focuses solely on the instructional component of how faculty spend their time. Productivity, to be assessed more completely, needs to be unbundled into its three component parts: instruction, research, and service. In addition, productivity alone is inadequate as a measure of faculty outcomes; what is required is a coupling of output with quality indicators. This article disaggregates productivity into its three parts and suggests quality measures to provide a fuller explanation of institutional behavior.

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Planning for Higher Education Journal

Published
December 1, 2004

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Faculty Mentoring: What the Boyer Commission Forgot

A proposed mentoring program using “strategic collaboration” to improve learning by motivating and enabling faculty to become better undergraduate teachers is suggested in support of the Boyer Commission’s goals.

From Volume 33 Number 2 | December–February 2004

Abstract: In 1998, a Carnegie Foundation Commission Report criticized America’s 123 research universities for failing our educational system by ignoring undergraduate education. Notably absent from the Commission's list of recommendations was mentoring research university faculty as a strategy to improve their teaching. This article discusses strategic collaboration, a mentoring model that can contribute significantly to achieving this objective. Such a network can also create an environment conducive to interdisciplinary research that, because of its increased value and rewards at such universities, can provide an added incentive for faculty participation.

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