| data analytics in enrollment management: Big Data on Campus Karen L. Webber, Henry Y. Zheng, 2020-11-03 Webber, Henry Y. Zheng, Ying Zhou |
| data analytics in enrollment management: Big Data on Campus Karen L. Webber, Henry Y. Zheng, 2020-11-03 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 |
| data analytics in enrollment management: You Are a Data Person Amelia Parnell, 2023-07-03 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. |
| data analytics in enrollment management: Handbook of Research on Technology-Centric Strategies for Higher Education Administration Tripathi, Purnendu, Mukerji, Siran, 2017-06-05 Although the advancement of educational technologies is often discussed in a teaching capacity, the administration aspect of this research area is often overlooked. Studying the impact technology has on education administration not only allows us to become familiar with the most current trends and techniques in this area, but also allows us to discover the best way forward in all aspects of education. The Handbook of Research on Technology-Centric Strategies for Higher Education Administration is a pivotal resource covering the latest scholarly information on the application of digital media among aspects of tertiary education administration such as policy, governance, marketing, leadership, and development. Featuring extensive coverage on a broad range of topics and perspectives including virtual training, blogging, and e-learning, this book is ideally designed for policy makers, researchers, and educators seeking current research on administrative-based technology applications within higher education. |
| data analytics in enrollment management: Leveraging Data for Student Success Laura G. Knapp, Elizabeth Glennie, Karen J. Charles, 2016-09-29 People providing services to schools, teachers, and students want to know whether these services are effective. With that knowledge, a project director can expand services that work well and adjust implementation of activities that are not working as expected. When finding that an innovative strategy benefits students, a project director might want to share that information with other service providers who could build upon that strategy. Some organizations that fund programs for students will want a report demonstrating the program’s success. Determining whether a program is effective requires expertise in data collection, study design, and analysis. Not all project directors have this expertise—they tend to be primarily focused on working with schools, teachers, and students to undertake program activities. Collecting and obtaining student-level data may not be a routine part of the program. This book provides an overview of the process for evaluating a program. It is not a detailed methodological text but focuses on awareness of the process. What do program directors need to know about data and data analysis to plan an evaluation or to communicate with an evaluator? Examples focus on supporting college and career readiness programs. Readers can apply these processes to other studies that include a data collection component. |
| data analytics in enrollment management: Prioritizing Enrollment Management Jason L. Meriwether, 2024-09-16 By blending norm-challenging, robust discussion on enrollment management with practical guidance for administrative and academic leaders, this book seeks to tackle long-standing issues of recruitment, retention, persistence, and completion in higher education. Traditional service delivery and the notion of “what we have always done” is no longer adequate for a new generation of college students within the evolving landscape of higher education. This text will redefine current approaches, strategies, timelines, and infrastructure for encouraging student success, communication, and delivery of student services in unique campus settings. Readers will be challenged to adapt to the shifting paradigm of enrollment management as a constant priority for university leaders who seek to shift, create, or revise enrollment planning. Discussion and recommendations in this book will reveal how a collaborative enrollment model that remains in sync with the academic enterprise can increase recruitment yield, improve student success outcomes, and impact generation of revenue. This text will provide a relevant and practical framework that guides campus policymakers to integrate academic prioritization, strategic enrollment planning, student services, and policies while emphasizing collaboration to achieve long-term and measurable outcomes. |
| data analytics in enrollment management: The Agile College Nathan D. Grawe, 2021-01-12 Following Grawe's seminal first book, this volume answers the question: How can a college or university prepare for forecasted demographic disruptions? Demographic changes promise to reshape the market for higher education in the next 15 years. Colleges are already grappling with the consequences of declining family size due to low birth rates brought on by the Great Recession, as well as the continuing shift toward minority student populations. Each institution faces a distinct market context with unique organizational strengths; no one-size-fits-all answer could suffice. In this essential follow-up to Demographics and the Demand for Higher Education, Nathan D. Grawe explores how proactive institutions are preparing for the resulting challenges that lie ahead. While it isn't possible to reverse the demographic tide, most institutions, he argues persuasively, can mitigate the effects. Drawing on interviews with higher education leaders, Grawe explores successful avenues of response, including • recruitment initiatives • retention programs • revisions to the academic and cocurricular program • institutional growth plans • retrenchment efforts • collaborative action Throughout, Grawe presents readers with examples taken from a range of institutions—small and large, public and private, two-year and four-year, selective and open-access. While an effective response to demographic change must reflect the individual campus context, the cases Grawe analyzes will prompt conversations about the best paths forward. The Agile College also extends projections for higher education demand. Using data from the High School Longitudinal Study, the book updates prior work by incorporating new information on college-going after the Great Recession and pushes forecasts into the mid-2030s. What's more, the analysis expands to examine additional aspects of the higher education market, such as dual enrollment, transfer students, and the role of immigration in college demand. |
| data analytics in enrollment management: Enrollment Management Don Hossler, 1984 Enrollment management is discussed with focus on the expanding role of admissions professions and their increasing impact on institutional policymaking. Enrollment management influences the size, shape, and characteristics of a student body by directing student marketing and recruitment as well as pricing and financial aid. Attention is also directed to reasons why enrollment managers need to exert a strong influence on academic and career advising, academic assistance programs, institutional research, orientation, retention programs, and student services. Chapters cover the following topics: the demand for higher education, college choice, the effects of pricing and financial aid on attendance, recruiting high school graduates, retaining students, current research on the impact of college on students' cognitive and noncognitive growth, the impact of different kinds of colleges, the outcomes of higher education, and the future of enrollment management. The following educational outcomes are considered: the significance of higher education over a lifetime, economic and noneconomic benefits of higher education, and consumptive benefits. One chapter was contributed by Terry E. Williams: Recruiting Graduates: Understanding Student-Institution Fit. A bibliography is included. (SW) |
| data analytics in enrollment management: Handbook of Strategic Enrollment Management Don Hossler, Bob Bontrager, 2014-10-20 Improve student enrollment outcomes and meet institutional goals through the effective management of student enrollments. Published with the American Association for Collegiate Registrars and Admissions Officers (AACRAO), the Handbook of Strategic Enrollment Management is the comprehensive text on the policies, strategies, practices that shape postsecondary enrollments. This volume combines relevant theories and research, with applied chapters on the management of offices such as admissions, financial aid, and the registrar to provide a comprehensive guide to the complex world of Strategic Enrollment Management (SEM). SEM focuses on achieving enrollment goals, and sustaining institutional revenue and serving the needs of students. It provides insights into the ways SEM is practiced across four-year institutions, community colleges, and professional schools. More than just an enhanced approach to admissions and financial aid, SEM examines the student's entire educational cycle. From entry through graduation, this volume helps SEM professionals and graduate students interested in enrollment management to anticipate change and balancing the goals of revenue, access, diversity, and prestige. The Handbook of Strategic Enrollment Management: Provides an overview of the thinking of leading practitioners that comprise SEM organizations, including marketing, recruitment, and admissions; tuition pricing; financial aid; the registrar's role, academic advising; and, retention Includes up-to-date research on current issues in SEM including college choice, financial aid, student persistence, and the effective use of technology Guides readers creating strategic enrollment organizations that fit the unique history, culture, and policy context of your campus Strategic enrollment management has become one of the most important administrative areas in postsecondary education, and it is being adopted in countries around the globe. The Handbook of Strategic Enrollment Management is for anyone in enrollment management, admissions, financial aid, registration and records, orientation, marketing, and institutional research who wish to enhance the health and vitality of his or her institution. It is also an excellent text for graduate programs in higher education and student affairs. |
| data analytics in enrollment management: Data Science for Undergraduates National Academies of Sciences, Engineering, and Medicine, Division of Behavioral and Social Sciences and Education, Board on Science Education, Division on Engineering and Physical Sciences, Committee on Applied and Theoretical Statistics, Board on Mathematical Sciences and Analytics, Computer Science and Telecommunications Board, Committee on Envisioning the Data Science Discipline: The Undergraduate Perspective, 2018-11-11 Data science is emerging as a field that is revolutionizing science and industries alike. Work across nearly all domains is becoming more data driven, affecting both the jobs that are available and the skills that are required. As more data and ways of analyzing them become available, more aspects of the economy, society, and daily life will become dependent on data. It is imperative that educators, administrators, and students begin today to consider how to best prepare for and keep pace with this data-driven era of tomorrow. Undergraduate teaching, in particular, offers a critical link in offering more data science exposure to students and expanding the supply of data science talent. Data Science for Undergraduates: Opportunities and Options offers a vision for the emerging discipline of data science at the undergraduate level. This report outlines some considerations and approaches for academic institutions and others in the broader data science communities to help guide the ongoing transformation of this field. |
| data analytics in enrollment management: Demographics and the Demand for Higher Education Nathan D. Grawe, 2018 The economics of American higher education are driven by one key factor--the availability of students willing to pay tuition--and many related factors that determine what schools they attend. By digging into the data, economist Nathan Grawe has created probability models for predicting college attendance. What he sees are alarming events on the horizon that every college and university needs to understand. Overall, he spots demographic patterns that are tilting the US population toward the Hispanic southwest. Moreover, since 2007, fertility rates have fallen by 12 percent. Higher education analysts recognize the destabilizing potential of these trends. However, existing work fails to adjust headcounts for college attendance probabilities and makes no systematic attempt to distinguish demand by institution type. This book analyzes demand forecasts by institution type and rank, disaggregating by demographic groups. Its findings often contradict the dominant narrative: while many schools face painful contractions, demand for elite schools is expected to grow by 15+ percent. Geographic and racial profiles will shift only slightly--and attendance by Asians, not Hispanics, will grow most. Grawe also use the model to consider possible changes in institutional recruitment strategies and government policies. These what if analyses show that even aggressive innovation is unlikely to overcome trends toward larger gaps across racial, family income, and parent education groups. Aimed at administrators and trustees with responsibility for decisions ranging from admissions to student support to tenure practices to facilities construction, this book offers data to inform decision-making--decisions that will determine institutional success in meeting demographic challenges-- |
| data analytics in enrollment management: Turning Point Darrell M. West, John R. Allen, 2021-10-19 Artificial Intelligence is here, today. How can society make the best use of it? Until recently, artificial intelligence sounded like something out of science fiction. But the technology of artificial intelligence, AI, is becoming increasingly common, from self-driving cars to e-commerce algorithms that seem to know what you want to buy before you do. Throughout the economy and many aspects of daily life, artificial intelligence has become the transformative technology of our time. Despite its current and potential benefits, AI is little understood by the larger public and widely feared. The rapid growth of artificial intelligence has given rise to concerns that hidden technology will create a dystopian world of increased income inequality, a total lack of privacy, and perhaps a broad threat to humanity itself. In their compelling and readable book, two experts at Brookings discuss both the opportunities and risks posed by artificial intelligence--and how near-term policy decisions could determine whether the technology leads to utopia or dystopia. Drawing on in-depth studies of major uses of AI, the authors detail how the technology actually works. They outline a policy and governance blueprint for gaining the benefits of artificial intelligence while minimizing its potential downsides. The book offers major recommendations for actions that governments, businesses, and individuals can take to promote trustworthy and responsible artificial intelligence. Their recommendations include: creation of ethical principles, strengthening government oversight, defining corporate culpability, establishment of advisory boards at federal agencies, using third-party audits to reduce biases inherent in algorithms, tightening personal privacy requirements, using insurance to mitigate exposure to AI risks, broadening decision-making about AI uses and procedures, penalizing malicious uses of new technologies, and taking pro-active steps to address how artificial intelligence affects the workforce. Turning Point is essential reading for anyone concerned about how artificial intelligence works and what can be done to ensure its benefits outweigh its harm. |
| data analytics in enrollment management: Managerial Perspectives on Intelligent Big Data Analytics Sun, Zhaohao, 2019-02-22 Big data, analytics, and artificial intelligence are revolutionizing work, management, and lifestyles and are becoming disruptive technologies for healthcare, e-commerce, and web services. However, many fundamental, technological, and managerial issues for developing and applying intelligent big data analytics in these fields have yet to be addressed. Managerial Perspectives on Intelligent Big Data Analytics is a collection of innovative research that discusses the integration and application of artificial intelligence, business intelligence, digital transformation, and intelligent big data analytics from a perspective of computing, service, and management. While highlighting topics including e-commerce, machine learning, and fuzzy logic, this book is ideally designed for students, government officials, data scientists, managers, consultants, analysts, IT specialists, academicians, researchers, and industry professionals in fields that include big data, artificial intelligence, computing, and commerce. |
| data analytics in enrollment management: Intelligent Data Analysis Deepak Gupta, Siddhartha Bhattacharyya, Ashish Khanna, Kalpna Sagar, 2020-04-27 This book focuses on methods and tools for intelligent data analysis, aimed at narrowing the increasing gap between data gathering and data comprehension, and emphasis will also be given to solving of problems which result from automated data collection, such as analysis of computer-based patient records, data warehousing tools, intelligent alarming, effective and efficient monitoring, and so on. This book aims to describe the different approaches of Intelligent Data Analysis from a practical point of view: solving common life problems with data analysis tools. |
| data analytics in enrollment management: Data Analysis Using SQL and Excel Gordon S. Linoff, 2010-09-16 Useful business analysis requires you to effectively transform data into actionable information. This book helps you use SQL and Excel to extract business information from relational databases and use that data to define business dimensions, store transactions about customers, produce results, and more. Each chapter explains when and why to perform a particular type of business analysis in order to obtain useful results, how to design and perform the analysis using SQL and Excel, and what the results should look like. |
| data analytics in enrollment management: Learning Analytics in Higher Education Jaime Lester, Carrie Klein, Huzefa Rangwala, Aditya Johri, 2017-12-21 Learning analytics (or educational big data) tools are increasingly being deployed on campuses to improve student performance, retention and completion, especially when those metrics are tied to funding. Providing personalized, real-time, actionable feedback through mining and analysis of large data sets, learning analytics can illuminate trends and predict future outcomes. While promising, there is limited and mixed empirical evidence related to its efficacy to improve student retention and completion. Further, learning analytics tools are used by a variety of people on campus, and as such, its use in practice may not align with institutional intent. This monograph delves into the research, literature, and issues associated with learning analytics implementation, adoption, and use by individuals within higher education institutions. With it, readers will gain a greater understanding of the potential and challenges related to implementing, adopting, and integrating these systems on their campuses and within their classrooms and advising sessions. This is the fifth issue of the 43rd volume of the Jossey-Bass series ASHE Higher Education Report. Each monograph is the definitive analysis of a tough higher education issue, based on thorough research of pertinent literature and institutional experiences. Topics are identified by a national survey. Noted practitioners and scholars are then commissioned to write the reports, with experts providing critical reviews of each manuscript before publication. |
| data analytics in enrollment management: Enrollment Management Perry R. Rettig, 2021-07-01 University leaders, both senior leadership and boards of trustees, are desperately looking for answers to enrollment concerns across the nation. This book is written by current practitioners in the field. These people live enrollment management every day; they know the field. They can talk to lay leaders from a practitioner’s perspective. Readers will enjoy reading a book that helps them to quickly understand enrollment management and how to quickly make a difference. |
| data analytics in enrollment management: A Comprehensive Guide to Graduate Enrollment Management Joseph H. Paris, Stanley J. Kania III, 2024-03-20 This book elucidates the intricacies and obscurities of graduate enrollment management, allowing scholars and professionals to advance research and practice in the field. Masterfully drawing upon scholarly and applied literatures pertaining to graduate admissions, marketing, strategic planning, and more, chapters present original empirical research and practical case studies that offer readers plentiful strategies, models, and frameworks for approaching graduate enrollment management at their own institutions. This guidebook positions higher education leaders, scholars, and graduate enrollment professionals to effectively address challenges that inhibit the work of increasing equity in graduate education and improving graduate student outcomes. |
| data analytics in enrollment management: Data Mining and Learning Analytics Samira ElAtia, Donald Ipperciel, Osmar R. Zaïane, 2016-09-20 Addresses the impacts of data mining on education and reviews applications in educational research teaching, and learning This book discusses the insights, challenges, issues, expectations, and practical implementation of data mining (DM) within educational mandates. Initial series of chapters offer a general overview of DM, Learning Analytics (LA), and data collection models in the context of educational research, while also defining and discussing data mining’s four guiding principles— prediction, clustering, rule association, and outlier detection. The next series of chapters showcase the pedagogical applications of Educational Data Mining (EDM) and feature case studies drawn from Business, Humanities, Health Sciences, Linguistics, and Physical Sciences education that serve to highlight the successes and some of the limitations of data mining research applications in educational settings. The remaining chapters focus exclusively on EDM’s emerging role in helping to advance educational research—from identifying at-risk students and closing socioeconomic gaps in achievement to aiding in teacher evaluation and facilitating peer conferencing. This book features contributions from international experts in a variety of fields. Includes case studies where data mining techniques have been effectively applied to advance teaching and learning Addresses applications of data mining in educational research, including: social networking and education; policy and legislation in the classroom; and identification of at-risk students Explores Massive Open Online Courses (MOOCs) to study the effectiveness of online networks in promoting learning and understanding the communication patterns among users and students Features supplementary resources including a primer on foundational aspects of educational mining and learning analytics Data Mining and Learning Analytics: Applications in Educational Research is written for both scientists in EDM and educators interested in using and integrating DM and LA to improve education and advance educational research. |
| data analytics in enrollment management: Who Gets In and Why Jeffrey Selingo, 2020-09-15 From award-winning higher education journalist and New York Times bestselling author Jeffrey Selingo comes a revealing look from inside the admissions office—one that identifies surprising strategies that will aid in the college search. Getting into a top-ranked college has never seemed more impossible, with acceptance rates at some elite universities dipping into the single digits. In Who Gets In and Why, journalist and higher education expert Jeffrey Selingo dispels entrenched notions of how to compete and win at the admissions game, and reveals that teenagers and parents have much to gain by broadening their notion of what qualifies as a “good college.” Hint: it’s not all about the sticker on the car window. Selingo, who was embedded in three different admissions offices—a selective private university, a leading liberal arts college, and a flagship public campus—closely observed gatekeepers as they made their often agonizing and sometimes life-changing decisions. He also followed select students and their parents, and he traveled around the country meeting with high school counselors, marketers, behind-the-scenes consultants, and college rankers. While many have long believed that admissions is merit-based, rewarding the best students, Who Gets In and Why presents a more complicated truth, showing that “who gets in” is frequently more about the college’s agenda than the applicant. In a world where thousands of equally qualified students vie for a fixed number of spots at elite institutions, admissions officers often make split-second decisions based on a variety of factors—like diversity, money, and, ultimately, whether a student will enroll if accepted. One of the most insightful books ever about “getting in” and what higher education has become, Who Gets In and Why not only provides an unusually intimate look at how admissions decisions get made, but guides prospective students on how to honestly assess their strengths and match with the schools that will best serve their interests. |
| data analytics in enrollment management: Cultivating a Data Culture in Higher Education Kristina Powers, Angela E. Henderson, 2018 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. |
| data analytics in enrollment management: Principles and Applications of Business Intelligence Research Herschel, Richard T., 2012-12-31 This book provides the latest ideas and research on advancing the understanding and implementation of business intelligence within organizations--Provided by publisher. |
| data analytics in enrollment management: First-generation Students Anne-Marie Nuñez, 1998 |
| data analytics in enrollment management: Lifting the Veil on Enrollment Management Stephen J. Burd, 2024-05-23 A shrewd examination and critique of an industry that exerts a far-reaching influence on college admissions in the United States. |
| data analytics in enrollment management: Building a Smarter University Jason E. Lane, 2014-09-30 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. |
| data analytics in enrollment management: Generation Z Goes to College Corey Seemiller, Meghan Grace, 2016-01-19 Say Hello to Your Incoming Class—They're Not Millennials Anymore Generation Z is rapidly replacing Millennials on college campuses. Those born from 1995 through 2010 have different motivations, learning styles, characteristics, skill sets, and social concerns than previous generations. Unlike Millennials, Generation Z students grew up in a recession and are under no illusions about their prospects for employment after college. While skeptical about the cost and value of higher education, they are also entrepreneurial, innovative, and independent learners concerned with effecting social change. Understanding Generation Z's mindset and goals is paramount to supporting, developing, and educating them through higher education. Generation Z Goes to College showcases findings from an in-depth study of over 1,100 Generation Z college students from 15 vastly different U.S. higher education institutions as well as additional studies from youth, market, and education research related to this generation. Authors Corey Seemiller and Meghan Grace provide interpretations, implications, and recommendations for program, process, and curriculum changes that will maximize the educational impact on Generation Z students. Generation Z Goes to College is the first book on how this up-and-coming generation will change higher education. |
| data analytics in enrollment management: The Years that Matter Most Paul Tough, 2019 The bestselling author of How Children Succeed returns with a devastatingly powerful, mind-changing inquiry into higher education in the U.S. |
| data analytics in enrollment management: Building Organizational Capacity and Strategic Management in Academia Kayyali, Mustafa, 2024-11-01 As higher education institutions face challenges like technological advancements, student demographics, and funding constraints, effective strategic management is essential. This involves enhancing institutional capabilities through improved governance, resource allocation, and stakeholder engagement while fostering a culture of innovation and collaboration. By prioritizing strategic planning and capacity building, academic institutions can remain relevant and responsive to the needs of students, faculty, and the broader community. Further research empowers universities to achieve sustainable growth and fulfill their educational and social objectives. Building Organizational Capacity and Strategic Management in Academia explores the crucial role of leadership and strategic management in boosting the capacity and effectiveness of higher education institutions. It examines the complex dynamics of organizational change, innovation, and sustainable growth within the setting of academia. This book covers topics such as brand management, information technology, and strategic planning, and is a useful resource for business owners, academicians, educators, managers, computer engineers, scientists, and researchers. |
| data analytics in enrollment management: Institutional Research Initiatives in Higher Education Nicolas A. Valcik, Jeffrey Alan Johnson, 2017-11-06 American higher education faces a challenging environment. Decreasing state appropriations, rising costs, and tightening budgets have left American colleges and universities scrambling to achieve their missions with ever more limited resources. Campus leaders have therefore increasingly relied upon institutional research and strategic planning departments to make transparent and rational decisions and to promote good stewardship of critical but finite resources. Institutional Research Initiatives in Higher Education illustrates the wealth of institutional research activities occurring in American higher education. Featuring chapters by a prominent mix of authors representing community colleges, traditional undergraduate institutions, land grant institutions, research and flagship universities, and state agencies, this book provides numerous insights into the contemporary challenges, innovative programs, and best practices in institutional research. With contributors from a variety of regions and types of institutions, each chapter provides rigorous analysis of campus-based research activities in areas such as strategic planning, admissions and enrollment management, assessment and compliance, and financial planning and budgeting. Like the departments it studies, Institutional Research Initiatives in Higher Education is an invaluable resource for university administrators, researchers, and policymakers alike. |
| data analytics in enrollment management: Geospatial Information System Use in Public Organizations Nicolas Valcik, Denis Dean, 2019-09-11 This book shows how Geospatial Information Systems (GIS) can be used for operations management in public institutions. It covers theory and practical applications, ranging from tracking public health trends to mapping transportation routes to charting the safest handling of hazardous materials. Along with an expert line-up of contributors and case studies, the editor provides a complete overview of how to use GIS as part of a successful, collaborative data analysis, and how to translate the information into cost-saving decisions, or even life-saving ones. |
| data analytics in enrollment management: Applications of Machine Learning and Artificial Intelligence in Education Khadimally, Seda, 2022-02-18 Modes and models of learning and instruction have shown a significant shift from yesterday's conventional learning and teaching given this era’s current educational and social contexts. Learners are no longer learning and communicating with human-generated, computed, and mediated—or traditional—learning and instructional practices, paving the way for machine-facilitated communication, learning, and teaching tools. Learning and instruction, communication and information exchange, as well as gathering, coding, analyzing, and synthesizing data have proven to be in need of even more innovative technology-moderated tools. Applications of Machine Learning and Artificial Intelligence in Education focuses on the parameters of remote learning, machine learning, deep learning, and artificial intelligence under 21st-century learning and instructional contexts. Covering topics such as data coding and social networking technology, it is ideal for learners with an interest in the deep learning discipline, educators, educational technologists, instructional designers, and data evaluators, as well as special interest groups (SGIs) in the discipline. |
| data analytics in enrollment management: The Learning-Centered University Steven Mintz, 2024-01-30 An essential guide to transforming the college experience for student success. In The Learning-Centered University, renowned historian Steven Mintz unveils a comprehensive blueprint for addressing the critical issues of stagnating incomes and productivity, persistent wealth inequalities, and political polarization plaguing colleges and universities today. With practical strategies and a deep understanding of the history and future of higher education, Mintz outlines how we can transform higher education to promote access, affordability, degree attainment, and equity. Mintz provides a thought-provoking analysis of the challenges facing higher education, from the growing disparities in resources and facilities to the need for a more holistic approach to students' development. He offers actionable solutions to create a more interactive, engaging, and skills-focused learning environment. From seamless community college transfers to embedding career preparation throughout the undergraduate experience, Mintz steers institutions toward a future that embraces innovation and student success. This essential guide also explores the transformative potential of technology in education, the importance of equity and student support services, and the future of the humanities. Drawing on his vast teaching experience and expertise in student success, Mintz provides practical insights and strategies for driving academic innovation and overcoming resistance to change. The Learning-Centered University is an invaluable resource for educators, administrators, and policy makers who are dedicated to offering a more equitable, accessible, and impactful learning experience for all students. |
| data analytics in enrollment management: Adoption of Data Analytics in Higher Education Learning and Teaching Dirk Ifenthaler, David Gibson, 2020-08-10 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 analytics in enrollment management: Responsible Analytics and Data Mining in Education Badrul H. Khan, Joseph Rene Corbeil, Maria Elena Corbeil, 2018-12-07 Winner of two Outstanding Book Awards from the Association of Educational Communications and Technology (Culture, Learning, & Technology and Systems Thinking & Change divisions)! Rapid advancements in our ability to collect, process, and analyze massive amounts of data along with the widespread use of online and blended learning platforms have enabled educators at all levels to gain new insights into how people learn. Responsible Analytics and Data Mining in Education addresses the thoughtful and purposeful navigation, evaluation, and implementation of these emerging forms of educational data analysis. Chapter authors from around the world explore how data analytics can be used to improve course and program quality; how the data and its interpretations may inadvertently impact students, faculty, and institutions; the quality and reliability of data, as well as the accuracy of data-based decisions; ethical implications surrounding the collection, distribution, and use of student-generated data; and more. This volume unpacks and explores this complex issue through a systematic framework whose dimensions address the issues that must be considered before implementation of a new initiative or program. |
| data analytics in enrollment management: Data Analytics for Business Fenio Annansingh, Joseph Bon Sesay, 2022-04-20 Data analytics underpin our modern data-driven economy. This textbook explains the relevance of data analytics at the firm and industry levels, tracing the evolution and key components of the field, and showing how data analytics insights can be leveraged for business results. The first section of the text covers key topics such as data analytics tools, data mining, business intelligence, customer relationship management, and cybersecurity. The chapters then take an industry focus, exploring how data analytics can be used in particular settings to strengthen business decision-making. A range of sectors are examined, including financial services, accounting, marketing, sport, health care, retail, transport, and education. With industry case studies, clear definitions of terminology, and no background knowledge required, this text supports students in gaining a solid understanding of data analytics and its practical applications. PowerPoint slides, a test bank of questions, and an instructor’s manual are also provided as online supplements. This will be a valuable text for undergraduate level courses in data analytics, data mining, business intelligence, and related areas. |
| data analytics in enrollment management: Proceedings of International Conference on Deep Learning, Computing and Intelligence Gunasekaran Manogaran, A. Shanthini, G. Vadivu, 2022-04-26 This book gathers selected papers presented at the International Conference on Deep Learning, Computing and Intelligence (ICDCI 2021), organized by Department of Information Technology, SRM Institute of Science and Technology, Chennai, India, during January 7–8, 2021. The conference is sponsored by Scheme for Promotion of Academic and Research Collaboration (SPARC) in association with University of California, UC Davis and SRM Institute of Science and Technology. The book presents original research in the field of deep learning algorithms and medical imaging systems, focusing to address issues and developments in recent approaches, algorithms, mechanisms, and developments in medical imaging. |
| data analytics in enrollment management: What Every Parent Needs to Know About College Admissions Christie Barnes, 2021-07-13 The Truth About Career Planning and the College Search Process “...the go-to guide for students to find the right path, at the right time, for the right tuition amount to lead to their best career outcome.” ?Anna Costaras and Gail Liss, authors of The College Bound Organizer #1 New Release in Education Research Society's guiding “truths” about higher education are now incorrect. In What Every Parent Needs to Know About College Admissions, Christie Barnes helps parents and students alike cut through the noise and find the best school, which might not always be the most prestigious or expensive one. College planning re-examined. All economic levels are getting vastly incorrect information for college and career planning, leading to anxiety-ridden youth and crippling student debt. Less affluent students are being led to more expensive options and high achievers feel compelled to apply for college at the most prestigious institutions. But, whether it’s a state school, safety school, or public school?there are other options beside an overpriced private school. It could be, but it might not be. A guidance counselor for parents. Learn that it’s not just about the “right” college, it’s about the “right fit” college. Using statistics, experts, and multi-factor analysis to clarify what should and should not be a worry in college planning, Barnes helps parents identify better, and often overlooked, options. In this guide, she dissects the top ten parental worries about how to get into college, including college applications, college admissions, college requirements, and college acceptance. Inside find: The first comprehensive individualized career and academic planning guide available to parents and teens Details on new innovative programs endorsed by schools, colleges, and HR departments A bonus “Academic Planning Guide” If you enjoyed books like Launch, Prepared, or Where You Go Is Not Who You'll Be, you’ll love What Every Parent Needs to Know About College Admissions. |
| data analytics in enrollment management: Building a Smarter University Jason E. Lane, 2014-09-30 Demonstrates 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. |
| data analytics in enrollment management: Critical Mentoring Torie Weiston-Serdan, 2023-07-03 This book introduces the concept of critical mentoring, presenting its theoretical and empirical foundations, and providing telling examples of what it looks like in practice, and what it can achieve. At this juncture when the demographics of our schools and colleges are rapidly changing, critical mentoring provides mentors with a new and essential transformational practice that challenges deficit-based notions of protégés, questions their forced adaptation to dominant ideology, counters the marginalization and minoritization of young people of color, and endows them with voice, power and choice to achieve in society while validating their culture and values.Critical mentoring places youth at the center of the process, challenging norms of adult and institutional authority and notions of saviorism to create collaborative partnerships with youth and communities that recognize there are multiple sources of expertise and knowledge. Torie Weiston-Serdan outlines the underlying foundations of critical race theory, cultural competence and intersectionality, describes how collaborative mentoring works in practice in terms of dispositions and structures, and addresses the implications of rethinking about the purposes and delivery of mentoring services, both for mentors themselves and the organizations for which they work. Each chapter ends with a set of salient questions to ask and key actions to take. These are meant to move the reader from thought to action and provide a basis for discussion.This book offers strategies that are immediately applicable and will create a process that is participatory, emancipatory and transformative. |
| data analytics in enrollment management: The Resilient University Freeman A. Hrabowski III, 2024-01-09 How university leaders' empowering approach to resiliency was tested by the dual crises of the COVID-19 pandemic and racial unrest. In 2020, some higher education leaders successfully navigated the unprecedented challenges the year presented and emerged as resilient agents of change in their academic communities. Freeman A. Hrabowski III was one of many leaders who followed the science during the pandemic and followed his heart in the fight for racial justice, even though the science was often playing catch-up with the virus, and campuses were playing catch-up on the history of race in our country. This precarious position often left higher education leaders in the disquieting position of making decisions with only partial or changing information. Drawing from lessons learned in real scenarios, the authors provide practical recommendations for empowering colleagues, cultivating resilience and courage, and sustaining purpose and inclusion within institutions. Building on Hrabowski's previous book The Empowered University, The Resilient University offers university leaders invaluable insight into how the qualities of openness, resilience, courage, passion, and hope can be harnessed in times of crisis to guide their institutions to thrive. |
Data and Digital Outputs Management Plan (DDOMP)
Data and Digital Outputs Management Plan (DDOMP)
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Data Analytics In Enrollment Management (PDF)
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