Data Cultures In Higher Education

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Data Cultures in Higher Education

Juliana E. Raffaghelli,Albert Sangrà
Data Cultures in Higher Education Book PDF

Author : Juliana E. Raffaghelli,Albert Sangrà
Publisher : Springer Nature
Page : 389 pages
File Size : 52,7 Mb
Release : 2023-03-07
Category : Education
ISBN : 9783031241932

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Data Cultures in Higher Education by Juliana E. Raffaghelli,Albert Sangrà Pdf

This collection focuses on the role of higher education institutions concerning datafication as a complex phenomenon. It explores how the universities can develop data literac(ies) shaping tomorrow skills and “formae mentis” to face the most deleterious effects of datafication, but also to engage in creative and constructive ways with data. Notably, the book spots data practices within the two most relevant sides of academics’ professional practice, namely, research and teaching. Hence, the collection seeks to reflect on faculty’s professional learning about data infrastructures and practices. The book draws on a range of studies covering the higher education response to the several facets of data in society, from data surveillance and the algorithmic control of human behaviour to empowerment through the use of open data. The research reported ranges from literature overviews to multi-case and in-depth case studies illustrating institutional and educational responses to different problems connected to data. The ultimate intention is to provide conceptual bases and practical examples relating to universities’ faculty development policies to overcome data practices and discourses' fragmentation and contradictions: in a nutshell, to build “fair data cultures” in higher education.

Cultivating a Data Culture in Higher Education

Kristina Powers,Angela E. Henderson
Cultivating a Data Culture in Higher Education Book PDF

Author : Kristina Powers,Angela E. Henderson
Publisher : Routledge
Page : 198 pages
File Size : 44,7 Mb
Release : 2018-05-25
Category : Education
ISBN : 9781351694513

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Cultivating a Data Culture in Higher Education by Kristina Powers,Angela E. Henderson Pdf

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.

How Colleges Use Data

Jonathan S. Gagliardi
How Colleges Use Data Book PDF

Author : Jonathan S. Gagliardi
Publisher : JHU Press
Page : 233 pages
File Size : 55,7 Mb
Release : 2022-12-20
Category : Education
ISBN : 9781421445205

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How Colleges Use Data by Jonathan S. Gagliardi Pdf

What does a culture of evidence really look like in higher education? The use of big data and the rapid acceleration of storage and analytics tools have led to a revolution of data use in higher education. Institutions have moved from relying largely on historical trends and descriptive data to the more widespread adoption of predictive and prescriptive analytics. Despite this rapid evolution of data technology and analytics tools, universities and colleges still face a number of obstacles in their data use. In How Colleges Use Data, Jonathan S. Gagliardi presents college and university leaders with an important resource to help cultivate, implement, and sustain a culture of evidence through the ethical and responsible use and adoption of data and analytics. Gagliardi provides a broad context for data use among colleges, including key concepts and use cases related to data and analytics. He also addresses the different dimensions of data use and highlights the promise and perils of the widespread adoption of data and analytics, in addition to important elements of implementing and scaling a culture of evidence. Demystifying data and analytics, the book helps faculty and administrators understand important topics, including: • How to define institutional aspirations using data • Equity and student success • Strategic finance and resource optimization • Academic quality and integrity • Data governance and utility • Implicit and explicit bias in data • Implementation and planning • How data will be used in the future How Colleges Use Data helps college and university leaders understand what a culture of evidence in higher education truly looks like.

The Analytics Revolution in Higher Education

Jonathan S. Gagliardi,Amelia Parnell,Julia Carpenter-Hubin
The Analytics Revolution in Higher Education Book PDF

Author : Jonathan S. Gagliardi,Amelia Parnell,Julia Carpenter-Hubin
Publisher : Taylor & Francis
Page : 200 pages
File Size : 48,8 Mb
Release : 2023-07-03
Category : Education
ISBN : 9781000981421

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The Analytics Revolution in Higher Education by Jonathan S. Gagliardi,Amelia Parnell,Julia Carpenter-Hubin Pdf

Co-published with and 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.

Creating a Data-Informed Culture in Community Colleges

Brad C. Phillips,Jordan E. Horowitz
Creating a Data Informed Culture in Community Colleges Book PDF

Author : Brad C. Phillips,Jordan E. Horowitz
Publisher : Harvard Education Press
Page : 235 pages
File Size : 55,7 Mb
Release : 2020-10-08
Category : Education
ISBN : 9781682531266

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Creating a Data-Informed Culture in Community Colleges by Brad C. Phillips,Jordan E. Horowitz Pdf

Brad C. Phillips and Jordan E. Horowitz offer a research-based model and actionable approach for using data strategically at community colleges to increase completion rates as well as other metrics linked to student success. They draw from the fields of psychology, neuroscience, and behavioral economics to show how leaders and administrators can build good habits for engaging with data constructively. At the core of their approach is a strategic effort to help administrators and faculty identify leading indicators that they can affect and monitor before student failure occurs. The book also helps educators make better use of common sources of data, clarify problems to be solved, match research-based interventions to problems, and evaluate results. The authors incorporate strategies for college personnel to engage with data more effectively by integrating student stories into presentations and embedding these discussions into existing meetings and routines. Three case studies from Long Beach City College, Southwestern College, and Odessa College further illustrate how this approach was implemented as part of comprehensive reform efforts. Based on two decades of experience working with colleges across the country, Creating a Data-Informed Culture in Community Colleges promises to be a valuable contribution to the ongoing conversation about information use in education to improve student outcomes.

Using Data to Improve Higher Education

Maria Eliophotou Menon,Dawn Geronimo Terkla,Paul Gibbs
Using Data to Improve Higher Education Book PDF

Author : Maria Eliophotou Menon,Dawn Geronimo Terkla,Paul Gibbs
Publisher : Springer
Page : 262 pages
File Size : 53,6 Mb
Release : 2014-11-26
Category : Education
ISBN : 9789462097940

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Using Data to Improve Higher Education by Maria Eliophotou Menon,Dawn Geronimo Terkla,Paul Gibbs Pdf

In recent decades, higher education systems and institutions have been called to respond to an unprecedented number of challenges. Major challenges

Adoption of Data Analytics in Higher Education Learning and Teaching

Dirk Ifenthaler,David Gibson
Adoption of Data Analytics in Higher Education Learning and Teaching Book PDF

Author : Dirk Ifenthaler,David Gibson
Publisher : Springer Nature
Page : 464 pages
File Size : 50,7 Mb
Release : 2020-08-10
Category : Education
ISBN : 9783030473921

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Adoption of Data Analytics in Higher Education Learning and Teaching by Dirk Ifenthaler,David Gibson Pdf

The book aims to advance global knowledge and practice in applying data science to transform higher education learning and teaching to improve personalization, access and effectiveness of education for all. Currently, higher education institutions and involved stakeholders can derive multiple benefits from educational data mining and learning analytics by using different data analytics strategies to produce summative, real-time, and predictive or prescriptive insights and recommendations. Educational data mining refers to the process of extracting useful information out of a large collection of complex educational datasets while learning analytics emphasizes insights and responses to real-time learning processes based on educational information from digital learning environments, administrative systems, and social platforms. This volume provides insight into the emerging paradigms, frameworks, methods and processes of managing change to better facilitate organizational transformation toward implementation of educational data mining and learning analytics. It features current research exploring the (a) theoretical foundation and empirical evidence of the adoption of learning analytics, (b) technological infrastructure and staff capabilities required, as well as (c) case studies that describe current practices and experiences in the use of data analytics in higher education.

Data Strategy in Colleges and Universities

Kristina Powers
Data Strategy in Colleges and Universities Book PDF

Author : Kristina Powers
Publisher : Routledge
Page : 187 pages
File Size : 55,8 Mb
Release : 2019-10-16
Category : Education
ISBN : 9780429794414

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Data Strategy in Colleges and Universities by Kristina Powers Pdf

This valuable resource helps institutional leaders understand and implement a data strategy at their college or university that maximizes benefits to all creators and users of data. Exploring key considerations necessary for coordination of fragmented resources and the development of an effective, cohesive data strategy, this book brings together professionals from different higher education experiences and perspectives, including academic, administration, institutional research, information technology, and student affairs. Focusing on critical elements of data strategy and governance, each chapter in Data Strategy in Colleges and Universities helps higher education leaders address a frustrating problem with much-needed solutions for fostering a collaborative, data-driven strategy.

Learning and Teaching Across Cultures in Higher Education

D. Palfreyman,D. McBride
Learning and Teaching Across Cultures in Higher Education Book PDF

Author : D. Palfreyman,D. McBride
Publisher : Springer
Page : 282 pages
File Size : 45,8 Mb
Release : 2007-10-17
Category : Education
ISBN : 9780230590427

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Learning and Teaching Across Cultures in Higher Education by D. Palfreyman,D. McBride Pdf

Learning and Teaching Across Cultures in Higher Education contains theoretical rationale, resources and examples to help readers understand and deal with situations involving contact between learners or educators from different cultural backgrounds, as well as giving insights into the new global context of higher education.

Big Data and Learning Analytics in Higher Education

Ben Kei Daniel
Big Data and Learning Analytics in Higher Education Book PDF

Author : Ben Kei Daniel
Publisher : Springer
Page : 272 pages
File Size : 46,9 Mb
Release : 2016-08-27
Category : Education
ISBN : 9783319065205

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Big Data and Learning Analytics in Higher Education by Ben Kei Daniel Pdf

​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​.

Data for Continuous Programmatic Improvement

Ellen B. Mandinach,Edith Gummer
Data for Continuous Programmatic Improvement Book PDF

Author : Ellen B. Mandinach,Edith Gummer
Publisher : Routledge
Page : 218 pages
File Size : 54,5 Mb
Release : 2018-11-06
Category : Education
ISBN : 9780429847516

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Data for Continuous Programmatic Improvement by Ellen B. Mandinach,Edith Gummer Pdf

This book addresses the issue of data use in educator preparation programs towards continuous programmatic improvement. With an aim to increase the rigor in both research and practice in educational administration and teacher education, this volume will analyze the longstanding quality concerns about teacher and leadership preparation and standards for programs and educators, as well as controversies concerning national accreditation and federal efforts to mandate program reporting data. By exploring the policies and practices that influence departments of education, this volume examines the increasing pressures to improve institutional functioning, within a complex system of university, state, and national structures and organizations.

Human Data Interaction, Disadvantage and Skills in the Community

Sarah Hayes,Michael Jopling,Stuart Connor,Matthew Johnson
Human Data Interaction Disadvantage and Skills in the Community Book PDF

Author : Sarah Hayes,Michael Jopling,Stuart Connor,Matthew Johnson
Publisher : Springer Nature
Page : 326 pages
File Size : 55,5 Mb
Release : 2023-07-31
Category : Education
ISBN : 9783031318757

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Human Data Interaction, Disadvantage and Skills in the Community by Sarah Hayes,Michael Jopling,Stuart Connor,Matthew Johnson Pdf

The book provides a dynamic, cross-sectional, multidisciplinary perspective and dialogue to illuminate the challenges humans face in their interactions with data in their individual postdigital contexts in local communities. It offers unique insights from real cases, collaborations, and projects to extend existing academic theories and frameworks, applied to human data interactions, disadvantage, and digital skills. The book takes the novel approach of establishing co-authorship between cross-sector practitioners from the wider community (such as local authorities, councils, policy makers, small businesses, charities, education and skills providers, and other stakeholders) with international academics and researchers who write about humans, digital skills, and data. This develops an enabling cross-sector environment throughout the book that not only furthers broader understandings concerning data, disadvantage and digital skills in postdigital society, but also shares a template to support others who may wish to adopt this approach to co-authorship and knowledge exchange. The book revisits the Human Data Interaction (HDI) framework (Mortier, Haddadi, Henderson, McAuley, and Crowcroft 2014) through many diverse cross-sectoral perspectives. These are co-authored under the HDI framework’s key tenets of: agency, legibility, negotiability and resistance. These tenets form the main sections of the book, with chapters examining these concepts through both interdisciplinary academic literature and cross-sector dialogue with individuals and agencies from the wider community who work with diverse and often disadvantaged groups.

Big Data on Campus

Karen L. Webber,Henry Y. Zheng
Big Data on Campus Book PDF

Author : Karen L. Webber,Henry Y. Zheng
Publisher : JHU Press
Page : 337 pages
File Size : 49,7 Mb
Release : 2020-11-03
Category : Education
ISBN : 9781421439044

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Big Data on Campus by Karen L. Webber,Henry Y. Zheng Pdf

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

Learning Analytics in Higher Education

Jaime Lester,Carrie Klein,Aditya Johri,Huzefa Rangwala
Learning Analytics in Higher Education Book PDF

Author : Jaime Lester,Carrie Klein,Aditya Johri,Huzefa Rangwala
Publisher : Routledge
Page : 200 pages
File Size : 52,5 Mb
Release : 2018-08-06
Category : Education
ISBN : 9781351400527

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Learning Analytics in Higher Education by Jaime Lester,Carrie Klein,Aditya Johri,Huzefa Rangwala Pdf

Learning Analytics in Higher Education provides a foundational understanding of how learning analytics is defined, what barriers and opportunities exist, and how it can be used to improve practice, including strategic planning, course development, teaching pedagogy, and student assessment. Well-known contributors provide empirical, theoretical, and practical perspectives on the current use and future potential of learning analytics for student learning and data-driven decision-making, ways to effectively evaluate and research learning analytics, integration of learning analytics into practice, organizational barriers and opportunities for harnessing Big Data to create and support use of these tools, and ethical considerations related to privacy and consent. Designed to give readers a practical and theoretical foundation in learning analytics and how data can support student success in higher education, this book is a valuable resource for scholars and administrators.

Got Data? Now What?

Laura Lipton,Bruce Wellman
Got Data Now What Book PDF

Author : Laura Lipton,Bruce Wellman
Publisher : Solution Tree Press
Page : 304 pages
File Size : 54,7 Mb
Release : 2012-02-29
Category : Education
ISBN : 9781936765058

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Got Data? Now What? by Laura Lipton,Bruce Wellman Pdf

Explore three defining challenges that school teams face when gathering, interpreting, and utilizing school data. Complete with survey questions for efficient data collection, group work structures, strategies, and tools—along with essential definitions and descriptions of data types—this compelling guide will help you confront data obstacles and turn struggling committees into powerful communities of learners.