Theorizes classroom writing assessment as a complex system that is "more than" …
Theorizes classroom writing assessment as a complex system that is "more than" its interconnected elements. To explain how and why antiracist work in the writing classroom is vital to literacy learning, Inoue incorporates ideas about the white racial habitus that informs dominant discourses in the academy and other contexts. Inoue helps teachers understand the unintended racism that often occurs when teachers do not have explicit antiracist agendas in their assessments. Drawing on his own teaching and classroom inquiry, Inoue offers a heuristic for developing and critiquing writing assessment ecologies that explores seven elements of any writing assessment ecology: power, parts, purposes, people, processes, products, and places.
This resource includes a selected list of OERs dealing with diversity, equity, …
This resource includes a selected list of OERs dealing with diversity, equity, and inclusion, including materials on accessibility, culturally responsive teaching, inclusive education, gender diversity, and multiculturalism.
This starter kit has been created to provide instructors with an introduction …
This starter kit has been created to provide instructors with an introduction to the use and creation of open educational resources (OER). The text is broken into five sections: Getting Started, Copyright, Finding OER, Teaching with OER, and Creating OER. Although some chapters contain more advanced content, the starter kit is primarily intended for users who are entirely new to Open Education. [Version 1.1. Revised September 5th, 2019.]
The Peralta Equity Rubric is a research-based course (re)design evaluation instrument to …
The Peralta Equity Rubric is a research-based course (re)design evaluation instrument to help teachers make online course experiences more equitable for all students. The rubric’s criteria include: addressing students’ access to technology and different types of support (both academic and non-academic); increasing the visibility of the instructor’s commitment to inclusion; addressing common forms of bias (e.g., implicit bias, image and representation bias, interaction bias); helping students make connections (e.g., between course topics and their lives; with the other students); and following universal design for learning principles.
The Peralta Equity Team periodically reviews and revises the rubric to address feedback and updates to equity-related research.
The site includes 3 related resources: 1) the Peralta Equity Rubric, 2) a brief companion document, “Describing the Peralta Equity Rubric,” and 3) a bibliography of research used for the Peralta Equity Rubric
This tutorial introduces the reader to some of the amazing capabilities of …
This tutorial introduces the reader to some of the amazing capabilities of R to work with and map geographic data. Geographic data are data that contain spatial attributes (or spatial data) that define a geographic space (location, area, elevation, etc.) and non spatial attributes (f.e., population density, pollutant concentrations, temperature).
This tutorial was developed for one the units of the course “ENVS 420: Research Seminar in Environmental Sciences” offered at the University of Baltimore. However, it is hoped that readers outside of ENVS 420 who are interested in geospatial analysis and with a basic familiarity of R find this tutorial useful.
The use of an integrated developer environment (IDE) or an IDE like configuration such as the IDE RStudio (https://rstudio.com/) or the Nvim-R plug-in for the integration of vim/neovim and R (https://github.com/ jalvesaq/Nvim-R/tree/stable) is recommended but not necessary.
The tutorial was written with RMarkdown (v. 2.6) (Allaire et al., 2020; Xie et al., 2018, 2020) in R (v. 4.2.3) (R Core Team, 2020).
No restrictions on your remixing, redistributing, or making derivative works. Give credit to the author, as required.
Your remixing, redistributing, or making derivatives works comes with some restrictions, including how it is shared.
Your redistributing comes with some restrictions. Do not remix or make derivative works.
Most restrictive license type. Prohibits most uses, sharing, and any changes.
Copyrighted materials, available under Fair Use and the TEACH Act for US-based educators, or other custom arrangements. Go to the resource provider to see their individual restrictions.