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Edit for clarity. Update for consistent formatting.
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ivelasq
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May 20, 2024
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Looks great, @restrellado ! Just left a few comments and questions.
| * [Contact Us](#Contact-Us) | ||
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| This repository is for the second edition of _Data Science in Education_ Using R, which is a work in progress. |
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| This repository is for the second edition of _Data Science in Education_ Using R, which is a work in progress. | |
| This repository is for the second edition of _Data Science in Education Using R_, which is a work in progress. |
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| ## Note from Our Publisher | ||
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| The authors of this text and the publisher Taylor and Francis are pleased to make Data Science in Education Using R available via bookdown at [datascienceineducation.com](https://datascienceineducation.com). They request that readers access the book via the website or in print form only and do not download or reproduce copies in any other form. Any attempt to do so will be considered a contravention of the publisher’s terms of availability. | ||
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| ## Reading the Book | ||
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| We wrote this book for you and are excited to share it! You can read the current version at [datascienceineducation.com](https://datascienceineducation.com). The print version is available now through [Routledge](https://www.routledge.com/Data-Science-in-Education-Using-R/Estrellado-Freer-Mostipak-Rosenberg-Velasquez/p/book/9780367422257). | ||
| We're excited to share this book with you! You can read the current version at [datascienceineducation.com](https://datascienceineducation.com). The print version is available now through [Routledge](https://www.routledge.com/Data-Science-in-Education-Using-R/Estrellado-Freer-Mostipak-Rosenberg-Velasquez/p/book/9780367422257). |
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| We're excited to share this book with you! You can read the current version at [datascienceineducation.com](https://datascienceineducation.com). The print version is available now through [Routledge](https://www.routledge.com/Data-Science-in-Education-Using-R/Estrellado-Freer-Mostipak-Rosenberg-Velasquez/p/book/9780367422257). | |
| We're excited to share this book with you! You can read the current version at [datascienceineducation.com](https://datascienceineducation.com). The print version of the first edition is available now through [Routledge](https://www.routledge.com/Data-Science-in-Education-Using-R/Estrellado-Freer-Mostipak-Rosenberg-Velasquez/p/book/9780367422257). |
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| Educational data rarely comes in a “ready-to-analyze” format. As a result, it's hard for enthusiastic practitioners to feel a connection between their questions and the data needed to answer them. To get value from the data-deluge, some educational data practitioners are adopting data science tools, like R. R is an Open Source programming language for data analysis. When data science meets education, the numbers confined to websites and PDF reports are set free. Teachers, administrators, and consultants apply programming and statistics to prepare data, transform it, visualize it, and analyze it to answer questions that make a difference for their students. | ||
| R is an Open Source programming language for data analysis. When data science meets education, practitioners can use the numbers previously confined to websites and PDF reports. Teachers, administrators, and consultants can apply programming and statistics to prepare data, transform it, visualize it, and analyze it. These practices empower practitioners to answer questions that make a difference for their students. |
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| R is an Open Source programming language for data analysis. When data science meets education, practitioners can use the numbers previously confined to websites and PDF reports. Teachers, administrators, and consultants can apply programming and statistics to prepare data, transform it, visualize it, and analyze it. These practices empower practitioners to answer questions that make a difference for their students. | |
| R is an Open Source programming language for data analysis. When data science meets education, practitioners can use the information previously confined to websites and PDF reports. Teachers, administrators, and consultants can apply programming and statistics to prepare data, transform it, visualize it, and analyze it. These practices empower practitioners to answer questions that make a difference for their students. |
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| Technology is transforming both the administrative and student-facing sides of education. It's becoming increasingly important for educators - not just people hired to analyze data - to understand what stories this new data tells them them about their students. Our book empowers educators from elementary school to higher education to transform educational data into actionable insights so it helps them serve their students and institutions. We wrote our book to be used as a main textbook in a graduate data science in education course. We also wrote it as a practical reference for data scientists working with education data. | ||
| These techniques shouldn't be learned separately from education use cases. We propose learning about data science through field-specific examples. Using common field-specific language is important for learning techniques that are practical for the job. We feel that discussing data science using education-specific scenarios will make learning more fun and meaningful. |
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There's a lot of "-specific" words here. Could we vary it a bit?
| Technology is transforming both the administrative and student-facing sides of education. It's becoming increasingly important for educators - not just people hired to analyze data - to understand what stories this new data tells them them about their students. Our book empowers educators from elementary school to higher education to transform educational data into actionable insights so it helps them serve their students and institutions. We wrote our book to be used as a main textbook in a graduate data science in education course. We also wrote it as a practical reference for data scientists working with education data. | ||
| These techniques shouldn't be learned separately from education use cases. We propose learning about data science through field-specific examples. Using common field-specific language is important for learning techniques that are practical for the job. We feel that discussing data science using education-specific scenarios will make learning more fun and meaningful. | ||
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| Technology is transforming education for administrators, staff, and students. It is increasingly important for educators -- not just data analysts -- to use data to reveal the stories of their students. Our book empowers educators from elementary school to higher education to transform educational data into actionable insights. We wrote our book as a main textbook in graduate data science in education courses. We also wrote it as a practical reference for data scientists working with education data. |
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Did we write it as a textbook?
| Technology is transforming both the administrative and student-facing sides of education. It's becoming increasingly important for educators - not just people hired to analyze data - to understand what stories this new data tells them them about their students. Our book empowers educators from elementary school to higher education to transform educational data into actionable insights so it helps them serve their students and institutions. We wrote our book to be used as a main textbook in a graduate data science in education course. We also wrote it as a practical reference for data scientists working with education data. | ||
| These techniques shouldn't be learned separately from education use cases. We propose learning about data science through field-specific examples. Using common field-specific language is important for learning techniques that are practical for the job. We feel that discussing data science using education-specific scenarios will make learning more fun and meaningful. | ||
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| Technology is transforming education for administrators, staff, and students. It is increasingly important for educators -- not just data analysts -- to use data to reveal the stories of their students. Our book empowers educators from elementary school to higher education to transform educational data into actionable insights. We wrote our book as a main textbook in graduate data science in education courses. We also wrote it as a practical reference for data scientists working with education data. |
There was a problem hiding this comment.
Suggested change
| Technology is transforming education for administrators, staff, and students. It is increasingly important for educators -- not just data analysts -- to use data to reveal the stories of their students. Our book empowers educators from elementary school to higher education to transform educational data into actionable insights. We wrote our book as a main textbook in graduate data science in education courses. We also wrote it as a practical reference for data scientists working with education data. | |
| Technology is transforming education for administrators, staff, and students. It is increasingly important for educators -- not just data analysts -- to use data to reveal the stories of their students. Our book empowers educators from elementary school to higher education to transform educational data into actionable insights. We wrote our book as a main textbook in graduate data science in education courses. We also wrote it as a practical reference for data practitioners working with education data. |
| And, the reader will be able to: | ||
| * Unique considerations for analyzing education data | ||
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| * Using effective analysis workflows |
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| * Using effective analysis workflows | |
| * How to run effective analysis workflows |
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| - [How to do a pull request on a separate branch](https://help.github.com/en/github/collaborating-with-issues-and-pull-requests/creating-a-pull-request) | ||
| * [How to do a pull request on a separate branch](https://help.github.com/en/github/collaborating-with-issues-and-pull-requests/creating-a-pull-request) |
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| * [How to do a pull request on a separate branch](https://help.github.com/en/github/collaborating-with-issues-and-pull-requests/creating-a-pull-request) | |
| * [How to make a pull request on a separate branch](https://help.github.com/en/github/collaborating-with-issues-and-pull-requests/creating-a-pull-request) |
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This PR is for edits to the readme file to bring it up to date for DSIEUR, 2nd Ed.