Download or read book Data Driven Decision Making in the Community College Context written by Eliza Raquel Arata and published by . This book was released on 2019 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: This case study explored how data-driven decision making occurred within institutional planning activities at a California community college. The problem statement for this research was that the practice of data-driven decision making for program effectiveness within community colleges has not been clearly defined and understood within the literature. The research question asked, "What enables data-driven decision making within a variety of routine planning activities, including how do practitioners employ data-driven decision making and what processes are utilized in data-driven decision making?" This study utilized a descriptive case study methodology. A descriptive case study is an empirical inquiry that investigates a case in depth and within its real-world context (Yin, 2014). Using a combination of one-on-one interviews, document review, and observations, this study gathered data on organizational routines and processes, the people involved in planning, and the process and tools used within planning. Three major findings were that (a) data-driven decision making is enabled by organizational structure, dialogue, the availability of data reports, and support and guidance by institutional research professionals; (b) practitioners employ data-driven decision making by tracking various metrics, detecting barriers to goals, identifying needs, and adjusting practices accordingly; and (c) stakeholders within a college approach institutional planning with certain expectations and assumptions that reflect the college's broader culture. The findings indicated: (a) the design of the college's institutional planning structure and processes impacts how data-driven decision making is employed at a college; (b) stakeholders tend to form meaning together and dialogue about data is one avenue that facilitates the meaning-making process; (c) data collection is key, thus the research questions guiding data collection are also key; (d) the data-driven decision-making process includes using data to reach a decision as well as acting on or responding to the information or newly created knowledge; and (e) the practice of data-driven decision making is influenced by organizational culture. The recommendations suggest ways that community colleges, leaders, and practitioners can support or facilitate data-driven decision making within institutional planning activities.

Download or read book Transforming Teaching and Learning Through Data Driven Decision Making written by Ellen B. Mandinach and published by Corwin Press. This book was released on 2012-04-10 with total page 281 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Gathering data and using it to inform instruction is a requirement for many schools, yet educators are not necessarily formally trained in how to do it. This book helps bridge the gap between classroom practice and the principles of educational psychology. Teachers will find cutting-edge advances in research and theory on human learning and teaching in an easily understood and transferable format. The text's integrated model shows teachers, school leaders, and district administrators how to establish a data culture and transform quantitative and qualitative data into actionable knowledge based on: assessment; statistics; instructional and differentiated psychology; classroom management."--Publisher's description.

Download or read book Data based Decision Making in Education written by Kim Schildkamp and published by Springer Science & Business Media. This book was released on 2012-09-18 with total page 221 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Data driven decision making in community colleges written by Claude Adam Callery and published by . This book was released on 2012 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Big Data on Campus written by Karen L. Webber and published by Johns Hopkins University Press. This book was released on 2020-11-03 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: Webber, Henry Y. Zheng, Ying Zhou

Download or read book You Are a Data Person written by Amelia Parnell and published by Taylor & Francis. This book was released on 2023-07-03 with total page 134 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Leveraging Data for Student Success written by Laura G. Knapp and published by RTI Press. This book was released on 2016-09-29 with total page 124 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Uprooting Bias in the Academy written by Linda F. Bisson and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book analyzes barriers to inclusion in academia and details ways to create a more diverse, inclusive environment. It first describes what the barriers to inclusion are and how they function within the broader society, focusing on concept of implicit bias: what it is, how it develops, and the importance of training organizational members to recognize and challenge it. It then discusses the limitations of data collection that is guided by the conventional assumption that being diverse automatically means being inclusive. Lastly, it highlights the importance of creating a collaborative, interdisciplinary and institution-wide vision of an inclusive community.

Download or read book Evidence Based Decision Making in Community Colleges written by Davis Jenkins and published by . This book was released on 2008 with total page 65 pages. Available in PDF, EPUB and Kindle. Book excerpt: Although there is increasing interest in evidence-based decision making in postsecondary education, there have been few large-scale empirical studies on the subject, and none of the research to date has examined in depth what specific data college faculty and administrators use in their jobs and the extent to which they use data analysis to design and improve the impact of programs and services. This report offers findings from a study designed to fill that gap in the knowledge base. The study was based on a survey and on telephone interviews about the use of student data by faculty and administrators at community colleges participating in Achieving the Dream: Community Colleges Count, a major national initiative designed to improve educational outcomes for community college students, particularly students of color, low-income students, and others who have traditionally faced barriers to success in college. Findings suggest three broad conclusions: (1) Achieving the Dream may have had an impact on data use at the colleges: greater use of data on student outcomes by faculty and administrators who are involved in the initiative indicates that an externally originated initiative can bring about changes in practice; (2) Producing substantive changes in culture and practice is a long process; and (3) Apparent disconnect between the extent of data use by faculty and administrators and the views and management practices of the college leadership may indicate that leadership commitment and a data-oriented approach to institutional management may not be sufficient to encourage faculty and administrators to become more data-oriented in practice, and that greater emphasis at department level is needed to encourage use of data for improvement. The authors advocate that further analysis is needed to better understand the relationship between data use and budgeting and planning efforts. Four appendixes are included: (1) Methodology for Creating Indicators of Data Use and Correlative Factor Measures; (2) Response Rate by College; (3) Demographics of Respondents; and (4) Tables on Patterns of Data Use by College. (Contains 22 tables and 2 footnotes.) [Additional funding was provided by College Spark Washington.].

Download or read book Data Driven Leadership written by Amanda Datnow and published by John Wiley & Sons. This book was released on 2014-03-10 with total page 111 pages. Available in PDF, EPUB and Kindle. Book excerpt: Tools and techniques from the trailblazers in data-based education reform Over a period of several years, Amanda Datnow and Vicki Park visited public schools with a reputation for being ahead of the pack in data-driven decision making. The results of this pioneering study reveal how education leaders can make data work for students and teachers, rather than against them. This book is an essential guide to meeting the challenges of high-stakes accountability, building performance-based schools, and improving student outcomes. By following the advice in this book, you’ll be able to transform data overload into a data-positive school culture. You’ll learn the difference between “data-driven leadership” and “data-informed leadership,” and how to use distributed leadership to inspire collaboration and guided analysis. Incorporating narrative reflections drawn from real educators and administrators, the authors refine their observations and interviews into practical conclusions that leaders can put to use immediately. This book empowers leaders to support inquiry, build trust in data-based initiatives, establish goals for evidence use, and provide educators with the skills they need to mobilize data for the good of all stakeholders. “Datnow and Park’s ideas are easily accessible and grounded in clear examples, and their seven ‘calls’ about what needs to be done nail the problem and the solutions. Use this book as your action guide and you’ll be rewarded with better results in student learning.” —Michael Fullan, professor emeritus, University of Toronto “Datnow and Park uncover, at last, what it means to use data to inform leadership. Documenting the four P’s (people, policies, practices, and patterns) in schools, we learn about the organization and dynamics of reform informed by data. A must read!” —Ann Lieberman, senior scholar, Stanford University

Download or read book Handbook of Data Based Decision Making in Education written by Theodore Kowalski and published by Routledge. This book was released on 2010-04-15 with total page 686 pages. Available in PDF, EPUB and Kindle. Book excerpt: Education has fought long and hard to gain acceptance as a profession and, since professionals by definition use data to shape the decisions they make, education has little choice but to continue moving in this direction. This 3-part handbook represents a major contribution to the literature of education. It is a unique compendium of the most original work currently available on how, when and why evidence should be used to ground practice. It is a comprehensive, cross-disciplinary, research-based, and practice-based resource that all educators can turn to as a guide to data-based decision making. The Handbook of Data-Based Decision Making in Education is a must read for researchers who are just beginning to explore the scientifically based nature of educational practice. It is also appropriate for policy makers and practitioners who are confronted with young people who need to be in classrooms where "best practices" are the norm and not the exception.

Download or read book Establishing an Experimental Community College in the United States written by Chet Jordan and published by Routledge. This book was released on 2021-07-25 with total page 181 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text offers an in-depth case study of the development of an experimental community college established by City University of New York with the aim of increasing two-year completion rates. By detailing academic and administrative reforms undertaken at Guttman Community College since 2007, the text illustrates the implementation of innovative practices in developmental education, advising, and experiential education and offers critical commentary on why reforms failed to bring the expected results. In a series of comprehensive and insightful chapters, Jordan maps the process of implementation and reform at Guttman Community College. In doing so, he explores the shortcomings of the Guttman enterprise, and offers in-depth analysis of the causes and implications of a failure to account for the local context and student population in planning and implementation phases. This unique, historical narrative thus offers important insights into pitfalls and best practices around issues of racial inequity, governance and leadership, curriculum development, student support services, and data-driven decision making. Each chapter concludes with a section focusing specifically on implications for the post-secondary system more broadly to inform effective, appropriate, and inclusive college reform. This book will be of interest to postgraduates and researchers exploring the history and governance of postsecondary education in the United States, as well as academic administrators, faculty, and policymakers. Jordan speaks to the myriad lessons that can be valuable for a higher education landscape that is hungry for innovation and reform.

Download or read book Data Driven School Improvement written by Ellen B. Mandinach and published by Teachers College Press. This book was released on 2008 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first comprehensive examination of the field, this book brings together stakeholders representing a variety of perspectives to explore how educators actually use data and technology tools to achieve lasting improvement in student performance. Contributors: David V. Abbott, Carrie Amon, Jonathan Bertfield, Cornelia Brunner, Fred Carrigg, Jere Confrey, Katherine Conoly, Valerie M. Crawford, Chris Dede, John Gasko, Greg Gunn, Juliette Heinze, Naomi Hupert, Sherry P. King, Mary Jane Kurabinski, Daniel Light, Lisa Long, Michael Merrill, Liane Moody, William R. Penuel, Luz M. Rivas, Mark S. Schlager, John Stewart, Sam Stringfield, Ronald Thorpe, Yukie Toyama, Jeffrey C. Wayman, and Viki M. Young. “If you want to understand usable knowledge, read Data-Driven School Improvement.” —Ellen Condliffe Lagemann, Harvard University “It is reassuring to know that at least some of the data being generated in our data-driven age are being used to make wiser decisions. We can all learn from these illustrative accounts.” —David C. Berliner, Mary Lou Fulton College of Education, Arizona State University “Replete with examples from real schools and districts, this volume provides a multi-layered portrait of what it takes to establish a culture of data use. Readers will come away with an appreciation of the systemic changes needed to reap the full potential of data-driven decision making.” —Barbara Means, Center for Technology in Learning, SRI International

Download or read book Improving Decision Making written by Mantha Mehallis and published by . This book was released on 1981 with total page 140 pages. Available in PDF, EPUB and Kindle. Book excerpt: This collection of essays focuses on the importance of accurate and timely information for effective decision making. First, Ivan Lach considers the proliferation of statewide planning and policy formation and discusses problems with and ways to improve statewide research. Next, Cheryl Opacinch focuses on decision making for federal postsecondary policy, discussing strategies for influencing the policy-making process by improving the use of community college research. After tracing trends in two-year college research, William Ramsey presents plans for action to involve research as a tool in the development of a master plan. Joseph Rossmeier places his discussion of information resource management in the context of the growing importance of computers, the role of information as a primary institutional asset, and a hierarchy of information needs. M. Kathryne Baratta examines the use of student data in planning and for better management. The utilization of student information systems is further discussed by Toni Hall and Jim Reed, who recommend a planned approach to student follow-up, strategies for organizing research and promoting data utilization, and ways that decision makers should use student information. Mike Stevenson and Dan Walleri present nine guidelines for financial decision making in a period of retrenchment. Mantha Mehallis deals with the improvement of decision making through institutional research. Finally, Donna Dzierlenga cites relevant ERIC documents. (AYC)

Download or read book Using Data in Schools to Inform Leadership and Decision Making written by Alex J. Bowers and published by IAP. This book was released on 2014-11-01 with total page 281 pages. Available in PDF, EPUB and Kindle. Book excerpt: Our fifth book in the International Research on School Leadership series focuses on the use of data in schools and districts as useful information for leadership and decision making. Schools are awash in data and information, from test scores, to grades, to discipline reports, and attendance as just a short list of student information sources, while additional streams of data feed into schools and districts from teachers and parents as well as local, regional and national policy levels. To deal with the data, schools have implemented a variety of data practices, from data rooms, to data days, data walks, and data protocols. However, despite the flood of data, successful school leaders are leveraging an analysis of their school’s data as a means to bring about continuous improvement in an effort to improve instruction for all students. Nevertheless, some drown, some swim, while others find success. Our goal in this book volume is to bring together a set of chapters by authors who examine successful data use as it relates to leadership and school improvement. In particular, the chapters in this volume consider important issues in this domain, including: • How educational leaders use data to inform their practice. • What types of data and data analysis are most useful to successful school leaders. • To what extent are data driven and data informed practices helping school leaders positively change instructional practice? • In what ways does good data collection and analysis feed into successful continuous improvement and holistic systems thinking? • How have school leadership practices changed as more data and data analysis techniques have become available? • What are the major obstacles facing school leaders when using data for decision making and how do they overcome them?

Download or read book Driven by Data written by Paul Bambrick-Santoyo and published by John Wiley & Sons. This book was released on 2010-04-12 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: Offers a practical guide for improving schools dramatically that will enable all students from all backgrounds to achieve at high levels. Includes assessment forms, an index, and a DVD.

Download or read book The Power of Experiments written by Michael Luca and published by MIT Press. This book was released on 2021-03-02 with total page 229 pages. Available in PDF, EPUB and Kindle. Book excerpt: How tech companies like Google, Airbnb, StubHub, and Facebook learn from experiments in our data-driven world—an excellent primer on experimental and behavioral economics Have you logged into Facebook recently? Searched for something on Google? Chosen a movie on Netflix? If so, you've probably been an unwitting participant in a variety of experiments—also known as randomized controlled trials—designed to test the impact of different online experiences. Once an esoteric tool for academic research, the randomized controlled trial has gone mainstream. No tech company worth its salt (or its share price) would dare make major changes to its platform without first running experiments to understand how they would influence user behavior. In this book, Michael Luca and Max Bazerman explain the importance of experiments for decision making in a data-driven world. Luca and Bazerman describe the central role experiments play in the tech sector, drawing lessons and best practices from the experiences of such companies as StubHub, Alibaba, and Uber. Successful experiments can save companies money—eBay, for example, discovered how to cut $50 million from its yearly advertising budget—or bring to light something previously ignored, as when Airbnb was forced to confront rampant discrimination by its hosts. Moving beyond tech, Luca and Bazerman consider experimenting for the social good—different ways that governments are using experiments to influence or “nudge” behavior ranging from voter apathy to school absenteeism. Experiments, they argue, are part of any leader's toolkit. With this book, readers can become part of “the experimental revolution.”