Download or read book Quantitative and Statistical Data in Education written by Michel Larini and published by John Wiley & Sons. This book was released on 2018-12-18 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents different data collection and representation techniques: elementary descriptive statistics, confirmatory statistics, multivariate approaches and statistical modeling. It exposes the possibility of giving more robustness to the classical methodologies of education sciences by adding a quantitative approach. The fundamentals of each approach and the reasons behind them are methodically analyzed, and both simple and advanced examples are given to demonstrate how to use them. Subsequently, this book can be used both as a course for the uninitiated and as an accompaniment for researchers who are already familiar with these concepts.
Download or read book Essentials of Geophysical Data Processing written by Clark R. Wilson and published by Cambridge University Press. This book was released on 2021-10-21 with total page 204 pages. Available in PDF, EPUB and Kindle. Book excerpt: A concise introduction to geophysical data processing - many of the techniques associated with the general field of time series analysis - for advanced students, researchers, and professionals. The textbook begins with calculus before transitioning to discrete time series via the sampling theorem, aliasing, use of complex sinusoids, development of the discrete Fourier transform from the Fourier series, and an overview of linear digital filter types and descriptions. Aimed at senior undergraduate and graduate students in geophysics, environmental science, and engineering with no previous background in linear algebra, probability, or statistics, this textbook draws scenarios and datasets from across the world of geophysics, and shows how data processing techniques can be applied to real-world problems using detailed examples, illustrations, and exercises (using MATLAB or similar computing environment). Online supplementary resources include datasets for students, and a solutions manual and all the figures from the book as PowerPoints for course instructors.
Download or read book Data Processing for Education written by and published by . This book was released on 1965 with total page 234 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Data Science in Education Using R written by Ryan A. Estrellado and published by Routledge. This book was released on 2020-10-26 with total page 315 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Big Data in Education written by Ben Williamson and published by SAGE. This book was released on 2017-07-24 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: This cutting-edge overview explores big data and the related topic of computer code, examining the implications for education and schooling for today and the near future.
Download or read book Research and Development in Data Processing for Pupil Personnel and Curricular Services written by Alvin Grossman and published by . This book was released on 1966 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Statistics for Education with Data Processing written by David White and published by HarperCollins Publishers. This book was released on 1973-01-01 with total page 382 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Automatic Data Processing in Education written by James W. Whitlock and published by . This book was released on 1964 with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Data Processing for Educators written by Alvin Grossman and published by . This book was released on 1965 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Databusting for Schools written by Richard Selfridge and published by SAGE. This book was released on 2018-06-18 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: ′In the increasingly data-swamped world of education, data literacy is no longer a desirable skill, it is essential. Databusting for Schools is part guide through the complexities, uses and limitations of data; and part challenge to those who too readily make assumptions and draw conclusions. This is an important book.′ James Pembroke, independent data analyst Data rules schools and ignorance is far from bliss. From assessment results to questioning educational claims, there is a growing need to understand the numbers used in education. Education data blogger and teacher Richard Selfridge (aka Jack Marwood) unravels the complexities of dealing with educational data and explains statistics in an understandable, everyday way, relevant to your classroom and your school. He will take you through all you need to know about data and statistics in education including: · Where does education data come from? · The what, why and how of numbers. · Understanding different types of graphs and how to use them. · How to play around with data to see the bigger picture. · How to interpret data, does one thing really lead to another? · Using data to inform school policy. A must-read for all teachers, school leaders, data managers, school governors, and anyone in education who has ever looked at statistical data and broken out into a cold sweat. Richard Selfridge is a primary school teacher and writer on education. He is author of the popular datablog Icing on the Cake and tweets under the sometime pseudonym @Jack_Marwood.
Download or read book Education Data Done Right written by Dorothyjean Cratty and published by . This book was released on 2019-10-08 with total page 178 pages. Available in PDF, EPUB and Kindle. Book excerpt: Lots of pundits and researchers have ideas about how education data work should be done and who should do it. Many of their ideas are disseminated widely. This book covers the things those books do not: metadata, working with enterprise IT, data requests, politics, and why descriptive statistics can take you far.
Download or read book SEDCAR Standards for Education Data Collection and Reporting written by and published by . This book was released on 1991 with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt: A report of the Cooperative Education Data Collection and Reporting (CEDCAR) Standards Project Task Force under contract to the National Center for Education Statistics, U.S. Department of Education.
Download or read book National Science Research Data Processing and Information Retrieval System written by United States. Congress. House. Committee on Education and Labor. General Subcommittee on Education and published by . This book was released on 1969 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book The Virginia Plan for Educational Data Processing written by Virginia. Advisory Council on Educational Data Processing and published by . This book was released on 1969 with total page 48 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Data Processing Systems Used in Educational Institutions During 1977 written by David W. Ely and published by . This book was released on 1977 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Knowledge Graphs and Big Data Processing written by Valentina Janev and published by Springer Nature. This book was released on 2020-07-15 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book is part of the LAMBDA Project (Learning, Applying, Multiplying Big Data Analytics), funded by the European Union, GA No. 809965. Data Analytics involves applying algorithmic processes to derive insights. Nowadays it is used in many industries to allow organizations and companies to make better decisions as well as to verify or disprove existing theories or models. The term data analytics is often used interchangeably with intelligence, statistics, reasoning, data mining, knowledge discovery, and others. The goal of this book is to introduce some of the definitions, methods, tools, frameworks, and solutions for big data processing, starting from the process of information extraction and knowledge representation, via knowledge processing and analytics to visualization, sense-making, and practical applications. Each chapter in this book addresses some pertinent aspect of the data processing chain, with a specific focus on understanding Enterprise Knowledge Graphs, Semantic Big Data Architectures, and Smart Data Analytics solutions. This book is addressed to graduate students from technical disciplines, to professional audiences following continuous education short courses, and to researchers from diverse areas following self-study courses. Basic skills in computer science, mathematics, and statistics are required.
Download or read book Data Analytics Applications in Education written by Jan Vanthienen and published by CRC Press. This book was released on 2017-09-29 with total page 265 pages. Available in PDF, EPUB and Kindle. Book excerpt: The abundance of data and the rise of new quantitative and statistical techniques have created a promising area: data analytics. This combination of a culture of data-driven decision making and techniques to include domain knowledge allows organizations to exploit big data analytics in their evaluation and decision processes. Also, in education and learning, big data analytics is being used to enhance the learning process, to evaluate efficiency, to improve feedback, and to enrich the learning experience. As every step a student takes in the online world can be traced, analyzed, and used, there are plenty of opportunities to improve the learning process of students. First, data analytics techniques can be used to enhance the student’ s learning process by providing real-time feedback, or by enriching the learning experience. Second, data analytics can be used to support the instructor or teacher. Using data analytics, the instructor can better trace, and take targeted actions to improve, the learning process of the student. Third, there are possibilities in using data analytics to measure the performance of instructors. Finally, for policy makers, it is often unclear how schools use their available resources to "produce" outcomes. By combining structured and unstructured data from various sources, data analytics might provide a solution for governments that aim to monitor the performance of schools more closely. Data analytics in education should not be the domain of a single discipline. Economists should discuss the possibilities, issues, and normative questions with a multidisciplinary team of pedagogists, philosophers, computer scientists, and sociologists. By bringing together various disciplines, a more comprehensive answer can be formulated to the challenges ahead. This book starts this discussion by highlighting some economic perspectives on the use of data analytics in education. The book begins a rich, multidisciplinary discussion that may make data analytics in education seem as natural as a teacher in front of a classroom.
