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Google Sites OER Textbook Template: A Template Guide to Creating OER Textbooks
Conditional Remix & Share Permitted
CC BY-SA
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This resource was created at the University of Maryland (UMD) for instructors who want to develop open educational textbook resources. You may use this template and modify the text and format to fit your open educational resources (OER) needs, whether that is a complete textbook or a single chapter of information. The purpose of this resource is to provide a flexible and free resource for instructors that can promote and facilitate the creation and use of open educational resources.

We teach open science and have used this template to create an OER introduction to statistics textbook (Numbers don't lie (but people do), https://sites.google.com/umd.edu/statisticsinsocialsciences/home), an OER R textbook (Learning R the EZ way, https://sites.google.com/umd.edu/ezlearning-r/home), and an undergraduate research dissemination textbook (Addressing Grand Challenges through open science research, https://sites.google.com/umd.edu/umd-open-science-research/home?authuser=0). We hope others will find this resource useful as well.

Subject:
Open Educational Resources and Practice
Professional Development
Teaching and Learning
Material Type:
Textbook
Author:
Dr. Amanda Chicoli
Dr. Tracy Tomlinson
Date Added:
03/24/2023
Learning R the EZ Way: A Video Guide to R for Open Research Analysis
Conditional Remix & Share Permitted
CC BY-SA
Rating
0.0 stars

This resource was created at the University of Maryland (UMD) for instructors who want to teach, students (and instructors) who want to learn, and researchers who want to use R for statistical discovery and analysis. While this is a textbook, it is largely based on hands-on examples with video walk-throughs to take you through accessing R and RStudio, the basics of R and progressing to analyses with step by step templates and video support. The goal is to build confidence with programming early on and demonstrate best coding practices from the start.

Subject:
Applied Science
Computer Science
Mathematics
Statistics and Probability
Material Type:
Textbook
Author:
Dr. Amanda Chicoli
Emily Forgo
Dr. Tracy Tomlinson
Date Added:
03/24/2023