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Planning for Higher Education Journal

Published
July 10, 2024

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Democratizing Data to Close Equity Gaps

Engage Teams to Dismantle Systemic Barriers That Impede Student Success

By: Neva Lozada, EdD, Carlos Rodriguez, EdD, Michael Salvatore, PhD, and Joseph Youngblood, II, JD, PhD

Kean University strategically reframed and visualized student data, merged planning processes, and harnessed analytics to dismantle impediments to bridging equity gaps in higher education.

From Volume 52 Number 3 | April–June 2024

Abstract: Through the inception of the Division of Strategic Analytics and Data Illumination (SADI), Kean University has cultivated a capacity for data literacy and analytics, empowering its community to employ data for evidence-based decision-making to overcome barriers to student success.
Employing optimal practices in integrated planning, SADI unified disparate offices into one cohesive data team to strategically reframe and visualize student data, identifying specific needs for continual improvement. This article underscores SADI’s initiatives in democratizing data, merging planning processes, and harnessing analytics to dismantle impediments to student success, particularly in bridging equity gaps in higher education.

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Example Plans

Published
November 13, 2023

Example Plan

Private Doctoral/Research University (Maryland, United States)

The research university’s 2023 strategic plan.

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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

By: Douglas Masterson, PhD, Christopher M. Davis, PhD, and Suzanne Carbonaro, MEd

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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Webinar Recordings

Published
December 7, 2022

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The Provost Bookshelf: Start, Stop, or Grow?

A Data-informed Approach To Academic Program Evaluation And Management

By: Robert Gray Atkins, Gray Associates | Nicholas Santilli, Society for College and University Planning

Author, and founder of Gray Associates, Robert Gray Atkins joins us for a conversation about his book Start, Stop, or Grow?: A Data-informed Approach To Academic Program Evaluation And Management.
Abstract: Author, and founder of Gray Associates, Robert Gray Atkins joins us for a conversation about his book Start, Stop, or Grow?: A Data-informed Approach To Academic Program Evaluation And Management. Along with moderator Nick Santilli, Senior Director for Learning Strategy at SCUP, we will explore a mission-driven, data-informed program review process outlining how provosts can lead a robust academic planning process focused on determining which programs to start, stop, or grow.

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Conference Recordings

Published
July 16, 2021

2021 Annual Conference | July 2021

Actionable Data

Creating Unit-level Dashboards to Drive Institutional Performance

By: Nasrin Fatima, Binghamton University

This session will share how Binghamton University has established an integrated data collection and tracking process and the ways in which the pandemic has affected this process and shifted institutional priorities.
Abstract: Although many institutions have clear processes for collecting data at the institutional level, we often overlook unit-level data collection aligned with institutional metrics, resulting in hindered outcomes. In order to achieve institutional outcomes, we must collect actionable data on key performance indicators at different unit levels. This session will share how Binghamton University has established an integrated data collection and tracking process and the ways in which the pandemic has affected this process and shifted institutional priorities. Come learn from examples of departmental-, divisional-, and institutional-level dashboards and find out how to use them to inform planning and improve performance.

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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

By: Hiba Itani, M.Ed, MEM, Dania Salem, M.Ed, MEM, and Ali El-Hajj, PhD

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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