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Planning for Higher Education Journal

Published
February 26, 2021

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American University of Beirut’s Meta-Assessment Framework

Rubrics Improve Evaluation Processes, Set Clear Expectations, and Help in Decision-Making

In a higher education setting, it is important to evaluate assessment processes, establish clear expectations, and efficiently make decisions. Doing so will support program and unit outcomes and periodic program and unit reviews, aligning with the institution’s strategic plan and optimizing budget allocation.

From Volume 49 Number 2 | January–March 2021

Abstract: This article presents a framework for developing a meta-assessment process for evaluating assessment practices in higher education institutions. Meta-assessment is important for improving assessment processes, setting clear expectations, and efficient decision-making. The comprehensive literature on this topic that is included in this article suggests that developing meta-assessment rubrics is an effective method for evaluating assessment. The meta-assessment results can be used in combination with qualitative resources to encourage program self-improvement. At the American University of Beirut, different meta-assessment checklists were developed based on best practices for evaluating program learning outcomes assessment, unit outcomes assessment, periodic program review, and periodic unit review.

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Planning for Higher Education Journal

Published
December 11, 2020

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Streamlining the Process of Student Success and Persistence

Curriculum Complexity Analyses Can Deploy Timely Academic Support Services

A combination of course prerequisite simplification and focused efforts by academic advising and tutoring services, when and where needed most, can substantially improve student achievement and degree attainment.

From Volume 49 Number 1 | October–December 2020

Abstract: Curriculum complexity impacts several aspects of student success, including time to degree, persistence, and the accumulation of student debt. This article describes the process of measuring and analyzing course prerequisites and sequencing. It outlines strategies to engage campus leadership and faculty in effectively improving curriculum and ensuring that support services are focused on the greatest area of need.

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Planning for Higher Education Journal

Published
November 9, 2020

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Trends in Accreditation

How Will Accreditors Once Again Become Relevant for Higher Education?

Dr. Lynn Priddy answers questions posed by education writer Stephen G. Pelletier related to changes in accreditation and their effect on institutions and students.

From Volume 49 Number 1 | October–December 2020

Abstract: Having been on both the inside of regional accreditation and outside looking back on it, Lynn Priddy knows that accreditation has long tried to revolutionize itself, while at the same time increasingly becoming subject to federal regulatory burdens and expectations from the Department of Education. That has backed it into becoming a bureaucracy at the very time it needed to break out to focus on innovation, learning, and student success.

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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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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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Planning for Higher Education Journal

Published
October 1, 2017

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Connecting the Dots

Accountability, Assessment, Analytics, and Accreditation

Calls for accountability, outcomes assessment, evidence of institutional performance, and student success must be answered by integrated planning and decision making across higher education.

From Volume 46 Number 1 | October–December 2017

Abstract: Challenging times continue for higher education: calls for more accountability, assessment of outcomes, evidence of institutional performance, relevance for life and careers, and student success. Integrated strategic planning and decision making in this ever-changing environment is critical for campus leadership. To maximize accountability, assessment, analytics, and accreditation, it is imperative for campus leaders to develop an integrated approach that begins with standard metrics, aligns with performance-based goals, and connects with accreditation requirements. Analytics, learning analytics, and learning management systems provide the crucial link to learning standards that support the reporting, monitoring, and improvement of student learning.

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Planning for Higher Education Journal

Published
July 1, 2017

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Balanced Scorecard Implementation in a School of Nursing

A Case Study Analysis

Implementing the balanced scorecard measurably improved the overall effectiveness of planning activities and increased individual involvement in and understanding of the strategic planning process.

From Volume 45 Number 4 | July–September 2017

Abstract: This article describes execution of the balanced scorecard (BSC) strategic framework in a School of Nursing (SoN). The SoN strategy map was the outcome of the development phase. The two-year implementation phase incorporated balanced scorecards that linked outcome measures to the priority strategies. Thirty-two percent of the defined outcome measures were met. Factors in adopting the BSC framework included development of a strategic plan that supports the college mission and vision, improved communication within the SoN, a united effort to institute strategies to sustain the SoN’s future, and establishment of performance indicators to measure success in achieving those strategies.

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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
January 1, 2010

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Creating and Sustaining a Culture of Assessment

The guiding principles of institutions that have established a culture of assessment can be described as internally driven.

From Volume 38 Number 2 | January–March 2010

Abstract: Many institutions of higher education develop assessment systems to demonstrate evidence of value added and to meet accreditation requirements. The sustainability of such assessment systems is usually defendant on creating a culture of assessment, which entails establishing shared values and principles and implementing practices designed to meet organizational goals. A survey of 119 assessment professionals revealed both the challenges and facilitating factors in creating and sustaining a culture of assessment. This article presents the survey results organized by an institution’s stage of development in establishing a culture of assessment: beginning, progress, or maturation. The article also provides specific examples to help institutions move along the continuum or improve their current practices and concludes with a discussion of policy implications

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Planning for Higher Education Journal

Published
April 1, 2009

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Dueling Scorecards

How Two Colleges Utilize the Popular Planning Method

Learn from this in-depth comparison of the “balanced scorecards” implemented by two small institutions.

From Volume 37 Number 3 | April–June 2009

Abstract: The Balanced Scorecard is a planning model used extensively in business to provide direction and accountability to an organization. Despite the demonstrated success of the model, it has not been widely used in higher education. This article compares and contrasts the use of the Balanced Scorecard by two small, private colleges. The article includes examples of how the model was implemented, how it is used for cyclical improvement, and how it can be used to improve communication concerning institutional planning.

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