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The analytics revolution in higher education : big data, organizational learning, and student success /
Co-published with AIR. Co-published with ACE. In this era of "Big Data," institutions of higher education are challenged to make the most of the information they have to improve student learning outcomes, close equity gaps, keep costs down, and address the economic needs of the communities...
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | , , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Sterling, Virginia :
Stylus Publishing, LLC.,
2018.
|
| Edición: | First edition. |
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 245 | 0 | 4 | |a The analytics revolution in higher education : |b big data, organizational learning, and student success / |c edited by Jonathan S. Gagliardi, Amelia Parnell, and Julia Carpenter-Hubin ; foreword by Randy L. Swing. |
| 250 | |a First edition. | ||
| 264 | 1 | |a Sterling, Virginia : |b Stylus Publishing, LLC., |c 2018. | |
| 264 | 4 | |c ©2018 | |
| 300 | |a 1 online resource (xv, 220 pages) | ||
| 336 | |a text |b txt |2 rdacontent | ||
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| 520 | |a Co-published with AIR. Co-published with ACE. In this era of "Big Data," institutions of higher education are challenged to make the most of the information they have to improve student learning outcomes, close equity gaps, keep costs down, and address the economic needs of the communities they serve at the local, regional, and national levels. This book helps readers understand and respond to this "analytics revolution," examining the evolving dynamics of the institutional research (IR) function, and the many audiences that institutional researchers need to serve. Internally, there is a growing need among senior leaders, administrators, faculty, advisors, and staff for decision analytics that help craft better resource strategies and bring greater efficiencies and return-on-investment for students and families. Externally, state legislators, the federal government, and philanthropies demand more forecasting and more evidence than ever before. These demands require new and creative responses, as they are added to previous demands, rather than replacing them, nor do they come with additional resources to produce the analysis to make data into actionable improvements. Thus the IR function must become that of teacher, ensuring that data and analyses are accurate, timely, accessible, and compelling, whether produced by an IR office or some other source. Despite formidable challenges, IR functions have begun to leverage big data and unlock the power of predictive tools and techniques, contributing to improved student outcomes. | ||
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a The analytics revolution in higher education / Jonathan S. Gagliardi -- Higher education decision support : building capacity, adding value / Daniel Cohen-Vogel -- Cultural and organizational structures and functions of institutional research / Julia Carpenter-Hubin and Jason Sullivan -- Data analytics for student success : elaborate profusion of institutional research into student affairs / Amelia Parnell -- The IT-IR nexus : three essentials for driving institutional change through data and analytics / Timothy Chester -- Pursuit of analytics and the challenge of organizational change management for institutional research / Angela Y. Baldasare -- Enrollment to career : dynamics of education and the workforce / Stephanie Bond-Huie -- State system research : increasing products, data, roles, and stakeholders / Angela Bell -- Moving from data to action : changing institutional culture and behavior / Desdemona Cardoza and Jeff Gold -- New and emerging frameworks for decision analytics : a data governance perspective / Ronald L. Huesman and Steve A. Gillard -- Examining how the analtics revolution matters to higher education policy makers : data analytics, systemness, and enabling student success / Jason E. Lane -- Evolving from reflective to predictive : Montgomery County Community College and analytics / Celeste Schwartz, Kent Phillipe, David Kowalski, and Angela Polec -- Unpacking the messiness of harnessing the analytics revolution / Jonathan S. Gagliardi. | |
| 588 | 0 | |a Online resource; title from digital title page (viewed on June 21, 2019). | |
| 590 | |a eBooks on EBSCOhost |b EBSCO eBook Subscription Academic Collection - Worldwide | ||
| 650 | 0 | |a Education, Higher |x Research |z United States |x Data processing. | |
| 650 | 0 | |a Education, Higher |x Research |z United States |x Statistical methods. | |
| 650 | 0 | |a Educational statistics. | |
| 650 | 0 | |a Universities and colleges |z United States |x Administration |x Data processing. | |
| 650 | 6 | |a Enseignement supérieur |x Recherche |z États-Unis |x Informatique. | |
| 650 | 6 | |a Enseignement supérieur |x Recherche |z États-Unis |x Méthodes statistiques. | |
| 650 | 6 | |a Statistique de l'éducation. | |
| 650 | 7 | |a EDUCATION |x Higher. |2 bisacsh | |
| 650 | 7 | |a Education, Higher |x Research |x Data processing. |2 fast |0 (OCoLC)fst00903094 | |
| 650 | 7 | |a Educational statistics. |2 fast |0 (OCoLC)fst00903606 | |
| 650 | 7 | |a Universities and colleges |x Administration |x Data processing. |2 fast |0 (OCoLC)fst01161607 | |
| 651 | 7 | |a United States. |2 fast |0 (OCoLC)fst01204155 | |
| 655 | 4 | |a Electronic books. | |
| 700 | 1 | |a Gagliardi, Jonathan S., |e editor. | |
| 700 | 1 | |a Parnell, Amelia R., |e editor. | |
| 700 | 1 | |a Carpenter-Hubin, Julia, |e editor. | |
| 776 | 0 | 8 | |i Print version: |t Analytics revolution in higher education. |b First edition. |d Sterling, Virginia : Stylus Publishing, LLC., 2018 |z 9781620365779 |w (DLC) 2017055080 |w (OCoLC)1025396841 |
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