Updating search results...

Search Resources

5 Results

View
Selected filters:
  • education-research
Analyzing Education Data with Open Science Best Practices, R, and OSF
Unrestricted Use
CC BY
Rating
0.0 stars

The webinar features Dr. Joshua Rosenberg from the University of Tennessee, Knoxville and Dr. Cynthia D’Angelo from the University of Illinois at Urbana-Champaign discussing best practices examples for using R. They will present: a) general strategies for using R to analyze educational data and b) accessing and using data on the Open Science Framework (OSF) with R via the osfr package. This session is for those both new to R and those with R experience looking to learn more about strategies and workflows that can help to make it possible to analyze data in a more transparent, reliable, and trustworthy way.

Subject:
Education
Material Type:
Lesson
Author:
Joshua Rosenberg
Cynthia D'Angelo
Date Added:
05/03/2021
Analyzing Education Data with Open Science Best Practices, R, and OSF
Unrestricted Use
CC BY
Rating
0.0 stars

This workshop demonstrates how using R can advance open science practices in education. We focus on R and RStudio because it is an increasingly widely-used programming language and software environment for data analysis with a large supportive community. We present: a) general strategies for using R to analyze educational data and b) accessing and using data on the Open Science Framework (OSF) with R via the osfr package. This session is for those both new to R and those with R experience looking to learn more about strategies and workflows that can help to make it possible to analyze data in a more transparent, reliable, and trustworthy way. Access the workshop slides and supplemental information at https://osf.io/vtcak/​.

Resources:

1) Download R: https://www.r-project.org/​
2) Download RStudio (a tool that makes R easier to use): https://rstudio.com/products/rstudio/...​
3) R for Data Science (a free, digital book about how to do data science with R): https://r4ds.had.co.nz/​
4) Tidyverse R packages for data science: https://www.tidyverse.org/​
5) RMarkdown from RStudio (including info about R Notebooks): https://rmarkdown.rstudio.com/​
6) Data Science in Education Using R: https://datascienceineducation.com/​

Subject:
Applied Science
Computer Science
Education
Material Type:
Teaching/Learning Strategy
Author:
Cynthia D'Angelo
Joshua Rosenberg
Date Added:
03/11/2021
Deep Dive into Open Scholarship: Data, Materials, and Code Transparency
Unrestricted Use
CC BY
Rating
0.0 stars

In this deep dive session, Dr. Willa van Dijk discusses how transparency with data, materials, and code is beneficial for educational research and education researchers. She illustrates these points by sharing experiences with transparency that were crucial to her success. She then shifts gears to provide tips and tricks for planning a new research project with transparency in mind, including attention to potential pitfalls, and also discusses adapting materials from previous projects to share.

Subject:
Education
Material Type:
Lesson
Author:
Willa van Dijk
Date Added:
03/15/2021
Innovative Learning and Teaching: Experiments Across the Disciplines
Conditional Remix & Share Permitted
CC BY-NC
Rating
0.0 stars

This book is about teachers who care about students’ learning and are motivated to take risks and actively reflect on how to best facilitate that learning. What is most resonant for me after reading “Innovative Learning and Teaching” is how important relationships and communities are to effective higher education.

Subject:
Education
Material Type:
Textbook
Provider:
University of Minnesota
Provider Set:
University of Minnesota Libraries Publishing
Author:
Editors
Ilene D. Alexander and Robert K. Poch
Date Added:
03/08/2021
Resources for Practicing Open Science with Qualitative Research in Education
Unrestricted Use
CC BY
Rating
0.0 stars

This list of resources consists of resources for researchers, editors, and reviewers interested in practicing open science principles, particularly in education research. This list is not exhaustive but meant as a starting point for individuals wanting to learn more about doing open science work specifically for qualitative research.This list was compiled by the following contributors: Rachel Renbarger, Sondra Stegenga, Thomas, Sebastian Karcher, and Crystal Steltenpohl. This resource list grew out of a hackathon at the Virtual Unconference on Open Scholarship Practices in Education Research.

Subject:
Education
Political Science
Psychology
Social Science
Material Type:
Reading
Student Guide
Author:
Rachel Renbarger
Crystal Steltenpohl
Date Added:
05/10/2021