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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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Conference Presentations

Published
July 14, 2019

2019 Annual Conference | July 2019

Problem-Solving Skills

Identifying and Using Your Team's Creative Strengths

Abstract: FLEXSpace—The Flexible Learning Environments eXchange—and the Learning Space Rating System (LSRS) are tools that can help you plan, design, assess, and improve learning spaces on your campus. In this session, you will learn about the newly released FLEXspace 2.0 along with the LSRS. We'll cover the features and benefits of both tools and how they can be incorporated into the planning process. Come learn how to use these tools to inform designs and support end users from planning through post occupancy.

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Planning for Higher Education Journal

Published
July 1, 2018

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Modifying the Strategic Planning Engine

A Case Study

Using the Strategic Planning Engine model resulted in a more objective, replicable, scalable, flexible, and transparent planning process with useful and relevant results.

From Volume 46 Number 4 | July–September 2018

Abstract: Academic strategic planning can be difficult given the bevy of stakeholders and often multiple sets of accreditation criteria. Recognizing the limits of the traditional SWOT model, our program chose to use the Strategic Planning Engine model. The model itself is quite laborious, and to increase its usability, we simplified the environmental assessments. Our results proved to be useful and relevant, and we developed a series of feasible objectives. In this article, we describe and evaluate our experience. In comparison to SWOT, we found this process to be more objective and replicable, scalable and responsive to multiple criteria, flexible to accommodate changing strategic plans or criteria, and transparent. With that being said, we caution about the level of labor required and organization and communication needed. Finally, we recommend implementing a leadership team, a communication plan, and a plan on how to respond to uncontrollable circumstances and developing a level of comfort with limited resource allocation.

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Planning for Higher Education Journal

Published
July 1, 2016

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A Call to Action for Student Success Analytics

Optimizing student success should be Institutional Strategy #1.

From Volume 44 Number 4 | July–September 2016

Abstract: Student success analytics promise to dramatically improve our capacity to increase student success across the entire spectrum of the student life cycle and throughout the student experience. Institutions will move beyond institutional accountability statistics to improve performance at the level of student success processes, practices, and interventions. Ultimately, these new processes, practices, and interventions promise to enable institutions to reinvent and personalize approaches to success.
By leveraging analytics and data science, leading-edge institutions “optimize” student success for individuals and cohorts by making student success a mission-critical, overarching institutional strategy. “Student success science” is a critical ingredient in reimagining higher education. This article provides a road map for institutional leaders on how to raise their analytics IQ so that they can leverage these practices to better serve their students, improve performance, and demonstrate value.
The use of analytics is potentially a key ingredient in sense making and decision making in all aspects of institutional performance and is critical in improving student success. Enlightened higher education leaders are committing to analytics and data science that deliver active interventions that improve student success.

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Planning for Higher Education Journal

Published
October 1, 2015

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A Model for Creating a Campus Sustainability Plan

Institutions of higher education have a special obligation to lead sustainability efforts in order to provide the next generation of young adults with the information and tools needed to take on the challenges of the future.

From Volume 44 Number 1 | October–December 2015

Abstract: Campuses are increasingly interested in “greening” as a response to climate change, in recognition of a resource-challenged future, and based on a desire to prepare current and future generations for a world faced with new environmental, social, and economic threats. But where to start? We often look to our facilities personnel to lead the charge with energy efficiency measures and LEED-certified buildings, but how do we institutionalize sustainability and make it part of the fabric of the university? A useful tool for beginning this process or coordinating existing efforts is the creation of a campus sustainability plan that can serve as both a strategic planning document and an implementation guide with specific action items, benchmarks, and accountability strategies. This article provides a script for anyone looking to take on this task and includes a case study from a large public institution with the aim of assisting others in this endeavor and easing their transitions to more sustainable campuses.

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Planning for Higher Education Journal

Published
April 1, 1999

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Decision-Making Challenges in Student Affairs

From Volume 27 Number 3 | Spring 1999

Abstract: Book Review of A Guide to Decision Making in Student Affairs: A Case- Study Approach, by Stanley R. Levy and Charles E. Kozoll. Charles C. Thomas, Publishers, Ltd., 1998. 178 pages. ISBN 0-398-06871-2

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ebook

Published
January 1, 1996

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Doing Academic Planning

Effective Tools for Decision Making

This reader was developed to provide academic planners with tools to facilitate the transformation of higher education institutions from provider-centered cultures and organizations to leamer-centered franchises.
Abstract: Facing storms of change within and outside the academy, higher education officials have realized that major realignments are underway creating demographic, economic, political, and cultural imperatives. Quality, accountability, and institutional effectiveness have become part of the culture for stakeholders in higher education. Program directors, department chairpersons, academic deans and their associates, and academic vice presidents are anticipating continued change and are ready to respond in a timely fashion using new planning approaches and techniques.

In assembling this reader, the selection of materials was guided by a sensitivity to provide academic planners with tools to facilitate the transformation of higher education institutions from provider-centered cultures and organizations to leamer-centered franchises. Readings examine partnerships and alliances needed for higher education institutions to survive, if not lead, the transformation of society into the information age.

This book tells how planners can best situate themselves and their organizations in the emerging network of collaborative resources. It is organized into the following sections: Environmental Scanning, Curriculum Planning, Enrollment Management, Human Resources Planning, Planning for Information Technology, Student Services, Academic Planning Within the Larger Context, and Linking Quality and Accountability.

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Planning for Higher Education Journal

Published
April 1, 1973

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Consortia

The Decision-Makers

Consortia, their impact on cooperating institutions, and critical factors in inter-institutional planning were the subject of a recent study for the United States Office of Education. This article, by staff members of one of the the studied consortia, is devoted to a discussion of the process of consortium decision-making.

From Volume 2 Number 2 | April 1973

Abstract: Consortia, their impact on cooperating institutions, and critical factors in inter-institutional planning were the subject of a recent study for the United States Office of Education, directed by Harold L. Hodgkinson of the Center for Research and Development in Higher Education at the University of California at Berkeley. The critical issues, according to the study findings, are problems of reciprocity and autonomy, coordination of programs among diverse institutions, and strategies for campus involvement and leadership. The following article, by three staff members of the New Hampshire College and University Council—one of the consortia in the Hodgkinson study—is devoted to a discussion of the process of consortium decision-making, touching on the three key issues. The authors are: Lynn G. Johnson, the Council's associate director in charge of academic programs; Dr. William W. Barnard, consultant and coordinator of a two-year Cooperative Curriculum Project, and Douglas W. Lyon, coordinator of January Term Programs and communications coordinator.

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