Karen l webber (94 risultati)

Hardcover. Condizione: Fair. With dust jacket. The item might be beaten up but readable. May contain markings or highlighting, as well as stains, bent corners, or any other major defect, but the text is not obscured in any way.

Condizione: acceptable. Used - Acceptable: All pages and the cover are intact, but shrink wrap, dust covers, or boxed set case may be missing. Pages may include limited notes, highlighting, or minor water damage but the text is readable. Item may be missing bundled media.

Paperback. Condizione: Very Good. ****GREAT CONDITION***CLEANPAGES*** Light cover wear. Light edge wear to cover. We specialize in non-fiction books. Follow us on Facebook and Instagram.

Hardback. Condizione: Good. 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.…

Hardback. Condizione: Good. 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.…

Condizione: As New. Unread book in perfect condition.

Soft cover. Condizione: New. 1st Edition. Contributions by: Dudley Blauwet, Ryan Bowling, Alexander U. Falster, Sarah L. Hanson, Jaroslav Hyrsl, Peter Lyckberg, Odulio Jose Marensi de Moura, Milan Novak, Federico Pezzotta, George R. Rossman, William B. Simmons, Gloria A. Staebler, Karen L. Webber Edited by: William B. Simmons, Gloria A. Staebler, David W. Bunk, Alexander U. Falster, Sarah L. Hanson, Karen W. Webber Taking its name from the Latin rubellus, meaning "reddish," rubellite was rare in the ancient world. Its unique properties set it apart from other hard, red gemstones, generically known then as "ruby" or "carbuncle." That distinction was lost during the Dark Ages but revived in the Enlightenment, as science undertook its quest to understand the nature of things. For two and a half centuries, rubellite has had a part of that great unraveling. Today "rubellite" refers to the pink to red variety of tourmaline, a large group of borosilicates. Coveted most for its endless combinations of vivid colors, just a handful of species —elbaite, liddicoatite, rossmanite —form rubellite, which is found as large, gemmy, euhedral crystals in pegmatites across the globe. With articles covering history, culture, science, and localities, our expert authors explore the fascinating world of rubellite and its complicated mineral family. Extraordinary imagery illuminates their stories, enticing readers into the paradox of rubellite and its tourmaline brethren.…

HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Condizione: New.

HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Soft cover. Condizione: As New. 1st Edition. As new, great condition. Rare in the ancient world. Its unique properties set it apart from other hard, red gemstones, generically known as "ruby" or "carbuncle." That distinction was lost during the Dark Ages but revived in the Enlightenment, as science undertook its quest to understand the nature of things. For two and a half centuries rubellite has had a part of that great unraveling. Today "rubellite" refers to the pink to red variety of tourmaline, a large group of borosilicates. Coveted most for its endless combinations of colors, just a handful of species - elbaite, liddicoatite, rossmanite - form rubellite, which is found as large, gemmy, euthedral crystals in pegmatites across the globe.…

Brossura. Condizione: fine. 2009; br., pp. 103, cm 15x22,5. Libro.

Hardback or Cased Book. Condizione: New. Big Data on Campus: Data Analytics and Decision Making in Higher Education. Book.

Condizione: New. 2020. Hardcover. . . . . .

Hardcover. Condizione: New. Brand new book, sourced directly from publisher. Dispatch time is 3-4 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

Condizione: New.

Hardback. Condizione: New. 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.…

Hardback. Condizione: New. New copy - Usually dispatched within 4 working days.

Condizione: As New. Unread book in perfect condition.

Condizione: New. 2020. Hardcover. . . . . . Books ship from the US and Ireland.

Condizione: New. In English.

Hardcover. Condizione: new. Hardcover. 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 "This edited collection by leading data scientists and higher ed leaders explains what data analytics can contribute to improving the administration of colleges and universities. The book includes several case studies of effective data analytics as applied to the areas of admissions, enrollment and retention, student life and engagement, academic advising, and learning assessment"-- Shipping may be from multiple locations in the US or from the UK, depending on stock availability. …

Paperback. Condizione: New. Brand new book, sourced directly from publisher. Dispatch time is 7-8 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: New.

Hardcover. Condizione: Brand New. 288 pages. 9.00x6.00x1.01 inches. In Stock.

Paperback / softback. Condizione: New. New copy - Usually dispatched within 4 working days.

Condizione: As New. Unread book in perfect condition.

Condizione: New.