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OpenStax textbooks follow a traditional peer review process aimed at ensuring they meet a high quality standard before publication. Textbooks are developed and peer-reviewed by educators in an attempt to ensure they are readable and accurate, meet the scope and sequence requirements of each course, are supported by instructor ancillaries, and are available with the latest technology-based ...
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In contrast to user-generated content libraries, OpenStax hires subject matter experts to create college-level textbooks that are peer-reviewed, openly licensed, and available online for free. [116] Like the content in OpenStax CNX, OpenStax books are available under Creative Commons CC BY licenses that allow users to reuse, remix, and ...
Connexions, later known as OpenStax CNX [1] was a global repository of educational content provided by volunteers. The open source platform was provided and maintained by OpenStax, which is based at Rice University. The collection was available free of charge, can be remixed and edited, and was available for download in various digital formats. [2]
Open Library is an online project intended to create "one web page for every book ever published". Created by Aaron Swartz, [3] [4] Brewster Kahle, [5] Alexis Rossi, [6] Anand Chitipothu, [6] and Rebecca Hargrave Malamud, [6] Open Library is a project of the Internet Archive, a nonprofit organization.
Richard G. Baraniuk is the C. Sidney Burrus Professor of Electrical and Computer Engineering at Rice University, the founder and Director of the open education initiative OpenStax (formerly called Connexions), and the founder and Director of the learning science and education research infrastructure SafeInsights.
Additionally, he is the lead author of the 2016 college textbook "Astronomy", published by OpenStax as a free book for college students around the world, part of a project at Rice University (supported by the Bill and Melinda Gates Foundation and the William and Flora Hewlett Foundation) to make college more affordable. [17]
A typical statistics course covers descriptive statistics, probability, binomial and normal distributions, test of hypotheses and confidence intervals, linear regression, and correlation. [68] Modern fundamental statistical courses for undergraduate students focus on correct test selection, results interpretation, and use of free statistics ...