Using Data To Improve Higher Education
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Using Data To Improve Higher Education
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Author : Maria Eliophotou Menon
language : en
Publisher: Springer
Release Date : 2014-11-26
Using Data To Improve Higher Education written by Maria Eliophotou Menon and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-11-26 with Education categories.
In recent decades, higher education systems and institutions have been called to respond to an unprecedented number of challenges. Major challenges
Big Data And Learning Analytics In Higher Education
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Author : Ben Kei Daniel
language : en
Publisher: Springer
Release Date : 2016-08-27
Big Data And Learning Analytics In Higher Education written by Ben Kei Daniel and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-08-27 with Education categories.
This book focuses on the uses of big data in the context of higher education. The book describes a wide range of administrative and operational data gathering processes aimed at assessing institutional performance and progress in order to predict future performance, and identifies potential issues related to academic programming, research, teaching and learning. Big data refers to data which is fundamentally too big and complex and moves too fast for the processing capacity of conventional database systems. The value of big data is the ability to identify useful data and turn it into useable information by identifying patterns and deviations from patterns.
Using Evidence Of Student Learning To Improve Higher Education
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Author : George D. Kuh
language : en
Publisher: John Wiley & Sons
Release Date : 2015-01-20
Using Evidence Of Student Learning To Improve Higher Education written by George D. Kuh and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-01-20 with Education categories.
American higher education needs a major reframing of student learning outcomes assessment Dynamic changes are underway in American higher education. New providers, emerging technologies, cost concerns, student debt, and nagging doubts about quality all call out the need for institutions to show evidence of student learning. From scholars at the National Institute for Learning Outcomes Assessment (NILOA), Using Evidence of Student Learning to Improve Higher Education presents a reframed conception and approach to student learning outcomes assessment. The authors explain why it is counterproductive to view collecting and using evidence of student accomplishment as primarily a compliance activity. Today's circumstances demand a fresh and more strategic approach to the processes by which evidence about student learning is obtained and used to inform efforts to improve teaching, learning, and decision-making. Whether you're in the classroom, an administrative office, or on an assessment committee, data about what students know and are able to do are critical for guiding changes that are needed in institutional policies and practices to improve student learning and success. Use this book to: Understand how and why student learning outcomes assessment can enhance student accomplishment and increase institutional effectiveness Shift the view of assessment from being externally driven to internally motivated Learn how assessment results can help inform decision-making Use assessment data to manage change and improve student success Gauging student learning is necessary if institutions are to prepare students to meet the 21st century needs of employers and live an economically independent, civically responsible life. For assessment professionals and educational leaders, Using Evidence of Student Learning to Improve Higher Education offers both a compelling rationale and practical advice for making student learning outcomes assessment more effective and efficient.
Big Data On Campus
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Author : Karen L. Webber
language : en
Publisher: Johns Hopkins University Press
Release Date : 2020-11-03
Big Data On Campus written by Karen L. Webber and has been published by Johns Hopkins University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-03 with Education categories.
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
Using Data To Improve Teacher Education
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Author : Charles Peck
language : en
Publisher: Teachers College Press
Release Date : 2021
Using Data To Improve Teacher Education written by Charles Peck and has been published by Teachers College Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with Education categories.
This book offers concrete examples of how data can be used by faculty, staff, and program leaders to improve their collective work as teacher educators. Strong external accountability mandates often lead to tensions that undermine local morale and motivation. This volume focuses on the practical work of navigating these tensions so that valuable programmatic change can happen. It describes policies and practices drawn from a study of “high data use” teacher education programs from around the country that have strategically engaged the challenges of learning to use data for program improvement. Readers will see how the data-use work carried out in these programs strengthened local program identity and coherence. Representing a collaborative effort between researchers and practitioners, this volume presents lessons learned to assist teacher educators who are engaged daily with the challenges of making data useful and used in their programs. Book Features: Examples of how tensions between external mandates for accountability and program improvement can be navigated in ways that are grounded in local program values.Detailed case study portraits of individual programs that offer a full and action-oriented sense of data use work.Strategies for ensuring that data systems are responsive to multiple stakeholders, such as faculty, administrators, students, and policymakers.A diversity of perspectives and experiences from small liberal arts colleges, large teacher preparation institutions, and research-intensive universities.
Data Based Decision Making In Education
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Author : Kim Schildkamp
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-09-18
Data Based Decision Making In Education written by Kim Schildkamp and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-09-18 with Education categories.
In a context where schools are held more and more accountable for the education they provide, data-based decision making has become increasingly important. This book brings together scholars from several countries to examine data-based decision making. Data-based decision making in this book refers to making decisions based on a broad range of evidence, such as scores on students’ assessments, classroom observations etc. This book supports policy-makers, people working with schools, researchers and school leaders and teachers in the use of data, by bringing together the current research conducted on data use across multiple countries into a single volume. Some of these studies are ‘best practice’ studies, where effective data use has led to improvements in student learning. Others provide insight into challenges in both policy and practice environments. Each of them draws on research and literature in the field.
Big Data In Education
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Author : Ben Williamson
language : en
Publisher: SAGE
Release Date : 2017-07-24
Big Data In Education written by Ben Williamson and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-07-24 with Education categories.
Big data has the power to transform education and educational research. Governments, researchers and commercial companies are only beginning to understand the potential that big data offers in informing policy ideas, contributing to the development of new educational tools and innovative ways of conducting research. This cutting-edge overview explores the current state-of-play, looking at big data and the related topic of computer code to examine the implications for education and schooling for today and the near future. Key topics include: · The role of learning analytics and educational data science in schools · A critical appreciation of code, algorithms and infrastructures · The rise of ‘cognitive classrooms’, and the practical application of computational algorithms to learning environments · Important digital research methods issues for researchers This is essential reading for anyone studying or working in today′s education environment!
Cultivating A Data Culture In Higher Education
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Author : Kristina Powers
language : en
Publisher:
Release Date : 2018
Cultivating A Data Culture In Higher Education written by Kristina Powers and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with Education, Higher categories.
Higher education institutions have experienced a sharp increase in demand for accountability. To meet the growing demand by legislators, accreditors, consumers, taxpayers, and parents for evidence of successful outcomes, this important book provides higher education leaders and practitioners with actionable strategies for developing a comprehensive data culture throughout the entire institution. Exploring key considerations necessary for the development of an effective data culture in colleges and universities, this volume brings together diverse voices and perspectives, including institutional researchers, senior academic leaders, and faculty. Each chapter focuses on a critical element of managing or influencing a data culture, approaches for breaking through common challenges, and concludes with practical, research-based implementation strategies. Collectively, these strategies form a comprehensive list of recommendations for developing a data culture and becoming a change agent within your higher education institution.
Using Evidence Of Student Learning To Improve Higher Education
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Author : George D. Kuh
language : en
Publisher: John Wiley & Sons
Release Date : 2014-12-09
Using Evidence Of Student Learning To Improve Higher Education written by George D. Kuh and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-12-09 with Education categories.
American higher education needs a major reframing of student learning outcomes assessment Dynamic changes are underway in American higher education. New providers, emerging technologies, cost concerns, student debt, and nagging doubts about quality all call out the need for institutions to show evidence of student learning. From scholars at the National Institute for Learning Outcomes Assessment (NILOA), Using Evidence of Student Learning to Improve Higher Education presents a reframed conception and approach to student learning outcomes assessment. The authors explain why it is counterproductive to view collecting and using evidence of student accomplishment as primarily a compliance activity. Today's circumstances demand a fresh and more strategic approach to the processes by which evidence about student learning is obtained and used to inform efforts to improve teaching, learning, and decision-making. Whether you're in the classroom, an administrative office, or on an assessment committee, data about what students know and are able to do are critical for guiding changes that are needed in institutional policies and practices to improve student learning and success. Use this book to: Understand how and why student learning outcomes assessment can enhance student accomplishment and increase institutional effectiveness Shift the view of assessment from being externally driven to internally motivated Learn how assessment results can help inform decision-making Use assessment data to manage change and improve student success Gauging student learning is necessary if institutions are to prepare students to meet the 21st century needs of employers and live an economically independent, civically responsible life. For assessment professionals and educational leaders, Using Evidence of Student Learning to Improve Higher Education offers both a compelling rationale and practical advice for making student learning outcomes assessment more effective and efficient.
Marketing Higher Education
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Author : Maringe, Felix
language : en
Publisher: McGraw-Hill Education (UK)
Release Date : 2008-12-01
Marketing Higher Education written by Maringe, Felix and has been published by McGraw-Hill Education (UK) this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-12-01 with Education categories.
This book examines marketing from both the market and educational perspectives and offers a view of its value and use within this dialectic relationship. In this respect this book is distinctive.