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1,734 result(s) for "Education, Higher Data processing."
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Higher Education in the Digital Age
Contents: Cover; Title; Copyright; Dedication; CONTENTS; PREFACE AND ACKNOWLEDGMENTS; CONTRIBUTORS; Part 1. Costs and Productivity in Higher Education; Cost Trends, the \"Cost Disease,\" and Productivity in Higher Education; Factors Other Than the Cost Disease Pushing Up Educational Costs; Affordability; Is There a Serious Problem-Even a Crisis?; Notes; Part 2. Prospects for an Online Fix; Background; The Lack of Hard Evidence; The Need for Customizable, Sustainable Platforms (or Tool Kits); The Need for New Mindsets-and Fresh Thinking about Decision-Making; What Must We Retain? Inhalt: Appendix: The Online Learning LandscapeNotes; Discussion by Howard Gardner; Discussion by John Hennessy; William G. Bowen's Responses to Discussion Session Comments; Discussion by Andrew Delbanco; Discussion by Daphne Koller; William G. Bowen's Responses to Discussion Session Comments; INDEX.
Data strategy in colleges and universities : from understanding to implementation
\"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. Kristina Powers is President of the Institute for Effectiveness in Higher Education\"-- Provided by publisher.
You Are a Data Person
Internal and external pressure continues to mount for college professionals to provide evidence of successful activities, programs, and services, which means that, going forward, nearly every campus professional will need to approach their work with a data-informed perspective.But you find yourself thinking \"I am not a data person\". Yes, you are. Or can be with the help of Amelia Parnell.You Are a Data Person provides context for the levels at which you are currently comfortable using data, helps you identify both the areas where you should strengthen your knowledge and where you can use this knowledge in your particular university role.For example, the rising cost to deliver high-quality programs and services to students has pushed many institutions to reallocate resources to find efficiencies. Also, more institutions are intentionally connecting classroom and cocurricular learning experiences which, in some instances, requires an increased gathering of evidence that students have acquired certain skills and competencies. In addition to programs, services, and pedagogy, professionals are constantly monitoring the rates at which students are entering, remaining enrolled in, and leaving the institution, as those movements impact the institution's financial position.From teaching professors to student affairs personnel and beyond, Parnell offers tangible examples of how professionals can make data contributions at their current and future knowledge level, and will even inspire readers to take the initiative to engage in data projects.The book includes a set of self-assessment questions and a companion set of action steps and available resources to help readers accept their identity as a data person. It also includes an annotated list of at least 20 indicators that any higher education professional can examine without sophisticated data analyses.
Enhancing Undergraduate Learning with Information Technology
Enhancing Undergraduate Learning with Information Technology reports on a meeting of scientists, policy makers, and researchers convened to discuss new approaches to undergraduate science, mathematics, and technology education. The goal of the workshop was to inform workshop participants and the public about issues surrounding the use of information technology in education. To reach this goal, the workshop participants paid particular attention to the following issues: What educational technologies currently exist and how they are being used to transform undergraduate science, engineering, mathematics, and technology education; What is known about the potential future impact of information technology on teaching and learning at the undergraduate level; How to evaluate the impact of information technology on teaching and learning; and What the future might hold.
Virtual Victorians : networks, connections, technologies
\"Virtual Victorians offers new ways of thinking about issues of representation, technology, and media change in nineteenth-century literary culture, with specific deference to the emerging field of the digital humanities. The opening section, 'Navigating Networks,' deals with digital resources and asks how they are shaping the field of Victorian studies; the second, 'Virtual Imaginings,' considers Victorian technologies of virtual experience. As a whole, this volume demonstrates that understanding the aspirations and anxieties that attended Victorian virtuality will illuminate contemporary scholarly practice--and vice versa\"--Provided by publisher.
The Analytics Revolution in Higher Education
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.