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Five Ways to Combat Linguistic Bias in the Classroom
Developments such as the evolution of World Englishes (WE) and African American scholars’ use of African American Vernacular English (AAVE) have opened an important dialogue around academic writing standards, language ownership, and linguistic justice (Canagarajah, 2006; Young, 2010). Authors like Gloria Anzaldua who mix, for example, Native Indian, Spanish, and English in texts, are engaging in the literary tradition of code meshing, which has been shown to facilitate acquisition of English when used by multicultural students in the classroom, according to research (Canagarajah, 2006). By adopting inclusive practices, course designers can combat linguistic bias and promote writing achievement for all learners. This blog contains five recommendations for reducing linguistic bias in online education.
No Sweat Alt Text
What is “alt text”? Alt text is descriptive text linked to an image, graph, or other visual content that allows users to understand the visual without viewing it. Any image online should contain alt text, but guidelines differ depending on whether the image is simply decorative or related to other content on the page.
Spreadsheet Accessibility
Spreadsheets are used for a broad array of data-related tasks and projects across numerous disciplines. Maximizing the utility of spreadsheets included as course materials requires careful attention towards their contents and formatting. In this post, we present recommendations for enhancing the clarity, consistency, and accessibility of course spreadsheets for students.
Academic Integrity in Assessment
To foster academic integrity, pair anti-plagiarism tools with clear conduct expectations and authentic low-stakes assessments. When designing and teaching online courses, maintaining academic integrity is frequently top of mind. In many cases, faculty may opt to adopt third-party tools to monitor student work. Despite the prevalence of academic monitoring software in online courses, however, the most powerful tools for promoting academic integrity are introduced much earlier in the course build process.
LMS Analytics: Supporting Your Students With Data
With the help of tools like Canvas New Analytics, faculty can leverage learning management system (LMS) data to hone their instructional techniques and improve their online students' experience. In this piece, we provide an introduction to learning analytics in online higher education and detail some analytics best practices.
Navigating Canvas New Analytics
At the end of 2019, Canvas rolled out New Analytics, a new version of their former analytics tool, Course Analytics. By Canvas' own description, New Analytics retains the core functionality of Course Analytics while offering a simplified user experience. In this post we share our recommendations for leveraging New Analytics to support students.
Creating Learning Objectives
Learning objectives help inform students about what they will learn and how they will be assessed. Objectives are meant to align with course expectations. Therefore, any assigned exercises should be guided by the course’s specific learning objectives. Everything in the course should work together to ensure students master the course objectives.
Self-Recording Best Practices
While traditional lectures are delivered in front of a classroom, allowing you to read students’ engagement and adjust in real time to both content and pacing, online lectures do not afford the same flexibility. Therefore, it is important to carefully plan your videos in accordance with best practices in online learning. There are many video types and formats to choose from (See the Envision blog: Matching Video Production Style to Learning Goals), and one decision you'll need to make is whether you want to appear on camera. This guide covers best practices for videos that will include your webcam footage.