Leveraging Data for Student Success

Leveraging Data for Student Success

Author: Laura G. Knapp

Publisher: RTI Press

Published: 2016-09-29

Total Pages: 124

ISBN-13: 1934831204

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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.


Using Data to Improve Student Learning in School Districts

Using Data to Improve Student Learning in School Districts

Author: Victoria Bernhardt

Publisher: Routledge

Published: 2013-10-11

Total Pages: 449

ISBN-13: 1317922859

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This book helps you make sense of the data your school district collects, including state student achievement results as well as other qualitative and quantitative data. Easy-to-use templates, tools, and examples are available on the accompanying downloadable resources.


Data Science in Education Using R

Data Science in Education Using R

Author: Ryan A. Estrellado

Publisher: Routledge

Published: 2020-10-26

Total Pages: 315

ISBN-13: 1000200906

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Data Science in Education Using R is the go-to reference for learning data science in the education field. The book answers questions like: What does a data scientist in education do? How do I get started learning R, the popular open-source statistical programming language? And what does a data analysis project in education look like? If you’re just getting started with R in an education job, this is the book you’ll want with you. This book gets you started with R by teaching the building blocks of programming that you’ll use many times in your career. The book takes a "learn by doing" approach and offers eight analysis walkthroughs that show you a data analysis from start to finish, complete with code for you to practice with. The book finishes with how to get involved in the data science community and how to integrate data science in your education job. This book will be an essential resource for education professionals and researchers looking to increase their data analysis skills as part of their professional and academic development.


Driven by Data

Driven by Data

Author: Paul Bambrick-Santoyo

Publisher: John Wiley & Sons

Published: 2010-04-12

Total Pages: 336

ISBN-13: 0470548746

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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.


Creating Data Literate Students

Creating Data Literate Students

Author: Kristin Fontichiaro

Publisher: Maize Books

Published: 2017

Total Pages: 0

ISBN-13: 9781607854241

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Creating Data Literate Students provides high school librarians and educators with foundational domain knowledge to teach a new subset of information literacy skills -- data and statistical literacy, including: statistics and data comprehension; data as argument; and data visualization. Data -- both raw and displayed in visualizations -- can clarify or confuse, confirm or deny, persuade or deter. Students often learn that numbers are objective, though data in the real world is rarely so. In fact, visualized data -- even from authoritative sources -- can sometimes be anything but objective. Librarians and classroom educators need to be as fluent with quantitative data as they are with text in order to support high schoolers as they engage with data in formal and informal settings. We asked contributors to this volume -- experts in high school curriculum, information literacy and/or data literacy -- to explore the intersections between data and curriculum and identify high-impact strategies for demystifying data for educators and students alike.


Using Data to Improve Student Learning in High Schools

Using Data to Improve Student Learning in High Schools

Author: Victoria Bernhardt

Publisher: Routledge

Published: 2013-10-11

Total Pages: 369

ISBN-13: 1317922816

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This book helps you make sense of the data your school collects, including state student achievement results as well as other qualitative and quantitative data. Easy-to-use templates, tools, and examples are available on the accompanying downloadable resources. High stakes accountability requires that you develop your understanding of who your students are and how to get them where you want them to be.