Data Science in Education Using R

• Utgivningsdatum: 2027-02-26
• Mått: 174 x 246 x undefined mm
• Format: Inbunden
• Språk: Engelska
• Antal sidor: 280
• Upplaga: 2
• Förlag: Taylor & Francis Ltd
• ISBN: 9781032845272

• Referensverk och tvärvetenskap
• Undervisning i specifika ämnen
• Databaser
• Systemvetenskap och AI

Ryan Estrellado is a writer and educator. He is the author of the book The K–12 Educator’s Data Guidebook: Reimagining Practical Data Use in Schools and a co-author of Data Science in Education Using R. Ryan tells inspiring stories about the reality of education work, ranging from overcoming a fear of data to finding a creative practice in the workplace. He has over twenty years of experience in public education.Emily Freer, PhD, is a researcher who explores who people learn, grow, and navigate complex systems. She currently leads human-centered research at Froedtert ThedaCare Health, where she works to improve patient experiences and drive organizational change.Joshua M. Rosenberg (PhD, Michigan State University) is Haslam Family Professor and Associate Professor of STEM (data science) education in the Department of Theory and Practice in Teacher Education at the University of Tennessee, Knoxville. He is also Co-Director of the AI, Data, and Educational Partnerships at the University of Tennessee (ADEPT) Center and coordinator of the data science education program.Isabella Velásquez is part of the Developer Relations team at Posit PBC, where she works at the intersection of programming, communication, and data analysis to help people get the most out of modern data science tools.

“The authors have provided the definitive guide to the topic. The combination of theory and hands-on practical tutorials make this an invaluable resource for the growing fields of learning analytics and educational data science.”- Mark Warschauer, Professor of Education and Informatics at the University of California, IrvineThis book is a clear, compelling guide for real-world practitioners who are ready to use modern tools of data science in the education domain. The effective data analysis content would benefit almost anyone getting started with data today, but these authors' thoughtful, focused handling of the specific issues involved in working with education data sets it apart from most introductory data science books.- Julia Silge, Software Engineer at Posit Software, PBCThere are many resources for learning how to analyze education data. But what has long been missing is an inclusive and pedagogically refined resource on how to leverage modern data science principles, workflows, and tools. Data Science in Education using R fills this massive gap and more. It will be the go to resource for the next generation of data driven education professionals. And is a beautiful exposition of how to responsibly work with data from the real, messy, world.- Dustin Tingley, Deputy Vice Provost for Advances in Learning at Harvard University

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