How Colleges Use Data
How Colleges Use Data

Author: Jonathan S. Gagliardi

Publisher: JHU Press

Published: 2022-12-20

Total Pages: 233

ISBN-13: 1421445204

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What does a culture of evidence really look like in higher education? The use of big data and the rapid acceleration of storage and analytics tools have led to a revolution of data use in higher education. Institutions have moved from relying largely on historical trends and descriptive data to the more widespread adoption of predictive and prescriptive analytics. Despite this rapid evolution of data technology and analytics tools, universities and colleges still face a number of obstacles in their data use. In How Colleges Use Data, Jonathan S. Gagliardi presents college and university leaders with an important resource to help cultivate, implement, and sustain a culture of evidence through the ethical and responsible use and adoption of data and analytics. Gagliardi provides a broad context for data use among colleges, including key concepts and use cases related to data and analytics. He also addresses the different dimensions of data use and highlights the promise and perils of the widespread adoption of data and analytics, in addition to important elements of implementing and scaling a culture of evidence. Demystifying data and analytics, the book helps faculty and administrators understand important topics, including: • How to define institutional aspirations using data • Equity and student success • Strategic finance and resource optimization • Academic quality and integrity • Data governance and utility • Implicit and explicit bias in data • Implementation and planning • How data will be used in the future How Colleges Use Data helps college and university leaders understand what a culture of evidence in higher education truly looks like.

Big Data on Campus
Big Data on Campus

Author: Karen L. Webber

Publisher: Johns Hopkins University Press

Published: 2020-11-03

Total Pages: 337

ISBN-13: 1421439034

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Webber, Henry Y. Zheng, Ying Zhou

Data Strategy in Colleges and Universities
Data Strategy in Colleges and Universities

Author: Kristina Powers

Publisher: Routledge

Published: 2019-10-16

Total Pages: 187

ISBN-13: 042979441X

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This valuable resource helps institutional leaders understand and implement a data strategy at their college or university that maximizes benefits to all creators and users of data. Exploring key considerations necessary for coordination of fragmented resources and the development of an effective, cohesive data strategy, this book brings together professionals from different higher education experiences and perspectives, including academic, administration, institutional research, information technology, and student affairs. Focusing on critical elements of data strategy and governance, each chapter in Data Strategy in Colleges and Universities helps higher education leaders address a frustrating problem with much-needed solutions for fostering a collaborative, data-driven strategy.

Big Data on Campus
Big Data on Campus

Author: Karen L. Webber

Publisher: JHU Press

Published: 2020-11-03

Total Pages: 337

ISBN-13: 1421439042

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How data-informed decision making can make colleges and universities more effective institutions. The continuing importance of data analytics is not lost on higher education leaders, who face a multitude of challenges, including increasing operating costs, dwindling state support, limits to tuition increases, and increased competition from the for-profit sector. To navigate these challenges, savvy leaders must leverage data to make sound decisions. In Big Data on Campus, leading data analytics experts and higher ed leaders show the role that analytics can play in the better administration of colleges and universities. Aimed at senior administrative leaders, practitioners of institutional research, technology professionals, and graduate students in higher education, the book opens with a conceptual discussion of the roles that data analytics can play in higher education administration. Subsequent chapters address recent developments in technology, the rapid accumulation of data assets, organizational maturity in building analytical capabilities, and methodological advancements in developing predictive and prescriptive analytics. Each chapter includes a literature review of the research and application of analytics developments in their respective functional areas, a discussion of industry trends, examples of the application of data analytics in their decision process, and other related issues that readers may wish to consider in their own organizational environment to find opportunities for building robust data analytics capabilities. Using a series of focused discussions and case studies, Big Data on Campus helps readers understand how analytics can support major organizational functions in higher education, including admission decisions, retention and enrollment management, student life and engagement, academic and career advising, student learning and assessment, and academic program planning. The final section of the book addresses major issues and human factors involved in using analytics to support decision making; the ethical, cultural, and managerial implications of its use; the role of university leaders in promoting analytics in decision making; and the need for a strong campus community to embrace the analytics revolution. Contributors: Rana Glasgal, J. Michael Gower, Tom Gutman, Brian P. Hinote, Braden J. Hosch, Aditya Johri, Christine M. Keller, Carrie Klein, Jaime Lester, Carrie Hancock Marcinkevage, Gail B. Marsh, Susan M. Menditto, Jillian N. Morn, Valentina Nestor, Cathy O'Bryan, Huzefa Rangwala, Timothy Renick, Charles Tegen, Rachit Thariani, Chris Tompkins, Lindsay K. Wayt, Karen L. Webber, Henry Y. Zheng, Ying Zhou

Who Gets In and Why
Who Gets In and Why

Author: Jeffrey Selingo

Publisher: Scribner

Published: 2020-09-15

Total Pages: 336

ISBN-13: 1982116293

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From award-winning higher education journalist and New York Times bestselling author Jeffrey Selingo comes a revealing look from inside the admissions office—one that identifies surprising strategies that will aid in the college search. Getting into a top-ranked college has never seemed more impossible, with acceptance rates at some elite universities dipping into the single digits. In Who Gets In and Why, journalist and higher education expert Jeffrey Selingo dispels entrenched notions of how to compete and win at the admissions game, and reveals that teenagers and parents have much to gain by broadening their notion of what qualifies as a “good college.” Hint: it’s not all about the sticker on the car window. Selingo, who was embedded in three different admissions offices—a selective private university, a leading liberal arts college, and a flagship public campus—closely observed gatekeepers as they made their often agonizing and sometimes life-changing decisions. He also followed select students and their parents, and he traveled around the country meeting with high school counselors, marketers, behind-the-scenes consultants, and college rankers. While many have long believed that admissions is merit-based, rewarding the best students, Who Gets In and Why presents a more complicated truth, showing that “who gets in” is frequently more about the college’s agenda than the applicant. In a world where thousands of equally qualified students vie for a fixed number of spots at elite institutions, admissions officers often make split-second decisions based on a variety of factors—like diversity, money, and, ultimately, whether a student will enroll if accepted. One of the most insightful books ever about “getting in” and what higher education has become, Who Gets In and Why not only provides an unusually intimate look at how admissions decisions get made, but guides prospective students on how to honestly assess their strengths and match with the schools that will best serve their interests.

Building a Smarter University
Building a Smarter University

Author: Jason E. Lane

Publisher: State University of New York Press

Published: 2014-09-30

Total Pages: 344

ISBN-13: 1438454546

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The Big Data movement and the renewed focus on data analytics are transforming everything from healthcare delivery systems to the way cities deliver services to residents. Now is the time to examine how this Big Data could help build smarter universities. While much of the cutting-edge research that is being done with Big Data is happening at colleges and universities, higher education has yet to turn the digital mirror on itself to advance the academic enterprise. Institutions can use the huge amounts of data being generated to improve the student learning experience, enhance research initiatives, support effective community outreach, and develop campus infrastructure. This volume focuses on three primary themes related to creating a smarter university: refining the operations and management of higher education institutions, cultivating the education pipeline, and educating the next generation of data scientists. Through an analysis of these issues, the contributors address how universities can foster innovation and ingenuity in the academy. They also provide scholarly and practical insights in order to frame these topics for an international discussion.

Data Science for Undergraduates
Data Science for Undergraduates

Author: National Academies of Sciences, Engineering, and Medicine

Publisher: National Academies Press

Published: 2018-11-11

Total Pages: 139

ISBN-13: 0309475597

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Data science is emerging as a field that is revolutionizing science and industries alike. Work across nearly all domains is becoming more data driven, affecting both the jobs that are available and the skills that are required. As more data and ways of analyzing them become available, more aspects of the economy, society, and daily life will become dependent on data. It is imperative that educators, administrators, and students begin today to consider how to best prepare for and keep pace with this data-driven era of tomorrow. Undergraduate teaching, in particular, offers a critical link in offering more data science exposure to students and expanding the supply of data science talent. Data Science for Undergraduates: Opportunities and Options offers a vision for the emerging discipline of data science at the undergraduate level. This report outlines some considerations and approaches for academic institutions and others in the broader data science communities to help guide the ongoing transformation of this field.

How College Works
How College Works

Author: Daniel F. Chambliss

Publisher: Harvard University Press

Published: 2014-02-17

Total Pages: 262

ISBN-13: 0674727037

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A Chronicle of Higher Education “Top 10 Books on Teaching” Selection Winner of the Virginia and Warren Stone Prize Constrained by shrinking budgets, can colleges do more to improve the quality of education? And can students get more out of college without paying higher tuition? Daniel Chambliss and Christopher Takacs conclude that the limited resources of colleges and students need not diminish the undergraduate experience. How College Works reveals the surprisingly decisive role that personal relationships play in determining a student's collegiate success, and puts forward a set of small, inexpensive interventions that yield substantial improvements in educational outcomes. “The book shares the narrative of the student experience, what happens to students as they move through their educations, all the way from arrival to graduation. This is an important distinction. [Chambliss and Takacs] do not try to measure what students have learned, but what it is like to live through college, and what those experiences mean both during the time at school, as well as going forward.” —John Warner, Inside Higher Ed

Demographics and the Demand for Higher Education
Demographics and the Demand for Higher Education

Author: Nathan D. Grawe

Publisher: JHU Press

Published: 2018

Total Pages: 189

ISBN-13: 1421424134

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"The economics of American higher education are driven by one key factor--the availability of students willing to pay tuition--and many related factors that determine what schools they attend. By digging into the data, economist Nathan Grawe has created probability models for predicting college attendance. What he sees are alarming events on the horizon that every college and university needs to understand. Overall, he spots demographic patterns that are tilting the US population toward the Hispanic southwest. Moreover, since 2007, fertility rates have fallen by 12 percent. Higher education analysts recognize the destabilizing potential of these trends. However, existing work fails to adjust headcounts for college attendance probabilities and makes no systematic attempt to distinguish demand by institution type. This book analyzes demand forecasts by institution type and rank, disaggregating by demographic groups. Its findings often contradict the dominant narrative: while many schools face painful contractions, demand for elite schools is expected to grow by 15+ percent. Geographic and racial profiles will shift only slightly--and attendance by Asians, not Hispanics, will grow most. Grawe also use the model to consider possible changes in institutional recruitment strategies and government policies. These "what if" analyses show that even aggressive innovation is unlikely to overcome trends toward larger gaps across racial, family income, and parent education groups. Aimed at administrators and trustees with responsibility for decisions ranging from admissions to student support to tenure practices to facilities construction, this book offers data to inform decision-making--decisions that will determine institutional success in meeting demographic challenges"--

Creating a Data-Informed Culture in Community Colleges
Creating a Data-Informed Culture in Community Colleges

Author: Brad C. Phillips

Publisher: Harvard Education Press

Published: 2020-10-08

Total Pages: 235

ISBN-13: 1682531260

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Brad C. Phillips and Jordan E. Horowitz offer a research-based model and actionable approach for using data strategically at community colleges to increase completion rates as well as other metrics linked to student success. They draw from the fields of psychology, neuroscience, and behavioral economics to show how leaders and administrators can build good habits for engaging with data constructively. At the core of their approach is a strategic effort to help administrators and faculty identify leading indicators that they can affect and monitor before student failure occurs. The book also helps educators make better use of common sources of data, clarify problems to be solved, match research-based interventions to problems, and evaluate results. The authors incorporate strategies for college personnel to engage with data more effectively by integrating student stories into presentations and embedding these discussions into existing meetings and routines. Three case studies from Long Beach City College, Southwestern College, and Odessa College further illustrate how this approach was implemented as part of comprehensive reform efforts. Based on two decades of experience working with colleges across the country, Creating a Data-Informed Culture in Community Colleges promises to be a valuable contribution to the ongoing conversation about information use in education to improve student outcomes.