karen webber (111 risultati)

paperback. Condizione: Very Good. Crease on cover and a few pages*.

Condizione: Good. Good condition. A copy that has been read but remains intact. May contain markings such as bookplates, stamps, limited notes and highlighting, or a few light stains.

paperback. Condizione: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority!

Condizione: Very Good. Very Good condition. A copy that may have a few cosmetic defects. May also contain light spine creasing or a few markings such as an owner's name, short gifter's inscription or light stamp. Bundled media such as CDs, DVDs, floppy disks or access codes may not be included.

Paperback. Condizione: As New. No Jacket. Pages are clean and are not marred by notes or folds of any kind. ~ ThriftBooks: Read More, Spend Less.

Paperback. Condizione: Very Good. No markings. Historic Oklahoma Bookstore on Route 66. Packages shipped daily, Mon-Friday.

paperback. Condizione: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority!

Condizione: Good. 4th Edition. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Paperback. Condizione: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.

Condizione: Very Good. 1778481333. 5/11/2026 6:35:33 AM.

Condizione: Good. 4th Edition. Former library copy. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Paper Back. Condizione: Good.

Paperback. Condizione: Very Good. Listening to the Beliefs of Emerging Churches: Five Perspectives (0), Vol. 0 by Mark Driscoll; John Burke; Dan Kimball; Doug Pagitt; Karen Ward. Zondervan, 2007. 240pp. Language: English. Note: Light wear. Binding is tight. Pages are clean and unmarked. May have writing, a stamp or sticker from the previous owner.

Soft Cover. Condizione: Very Good. Minor browning to pages, tight and clean.

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.

Hardcover. Condizione: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!

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.

Condizione: good.

Paperback. Condizione: Brand New. 220 pages. 6.00x0.55x9.00 inches. In Stock.

Condizione: As New. Unread book in perfect condition.

Condizione: Good. 2nd Edition. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

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

Condizione: New.

Paperback. Condizione: Brand New. 264 pages. 6.00x0.66x9.00 inches. In Stock.

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.

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.

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.