000			03720cam a2200253 4500
003			MIUC
005			20200313090652.0
008			170502s2014 nyu b s101 | eng
020			_a9781438454528
040			_aMIUC _beng _cMIUC
082	0		_a378.0028
245	0	0	_aBuilding a smarter university : _bbig data, innovation, and analytics / _cedited by Jason E. Lane ; foreword by Nancy L. Zimpher.
260			_aAlbany : _bSUNY Press, _c2014.
300			_axxiii, 318 p. ; _c24 cm.
336			_2rdacontent _atext
490	0		_aSUNY series, critical issues in higher education
504			_aIncludes bibliographical references and index.
505	0	0	_gPt. 1. _tOverview -- _gCh. 1. _tFostering smarter colleges and universities: data big, big data, and analytics / _rJason E. Lane and B. Alex Finsel -- _gCh. 2. _tLegal issues associated with big data in higher education: ethical considerations and cautionary tales / _rJeffrey C. Sun -- _gCh. 3. _t Education and big data versus big-but-buries data / _rElizabeth L. Bringsjord and Selmer Bringsjord -- _gPt. 2. _tAccess, completion, success -- _gCh. 4. _tBig data's impact on college admission practices and recruitment strategies -- _rJay W. Goff and Christopher M. Shaffer -- _gCh. 5. _tWho is the big data student? / _rFred Fonseca and Michael Marcinkowski -- _gCh. 6. _tNudge nation: a new way to use data to prod students into and through college / _rBen Wildavsky -- _gCh. 7. _tUnanticipated data-driven innovation in higher education systems: from student success to course equivalencies / _rTaya L. Owens and Daniel J. Knox -- _gPt. 3. _tPolicy development and institutional decision making -- _gCh. 8. _tIntegrating data analytics in higher education organization and student success / _rLisa Helmin Foss -- _gCh. 9. _tThe opportunities, challenges, and strategies associated with the use of operations-oriented (big) data to support decision making within universities / _rJohn Cheslock, Rodney P. Hughes, and Mark Umbricht. -- _gCh. 10. _tMeasuring the internationalization of higher education: data, big data, and analytics / _rJason E. Lane and Rajika Bhandari -- _gCh. 11. _tBig data and human capital development and mobility / _rBrian T. Presscott.
520			_aDemonstrates how universities can use Big Data to enhance operations and management, improve the education pipeline, and educate the next generation of data scientists.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.
650		0	_93012 _aEducation, Higher _zUnited States _xData processing _vCongresses
700	1		_93578 _aLane, Jason E. _4edt
740	0		_aChildren's crusade.
942			_2ddc _cBK