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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.
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.
Implementing Social Media
Many students use social media platforms in their daily lives, and “emerging evidence indicates that students express positive attitudes toward using social media for learning in general” (Baisley-Nodine, Ritzhaupt & Antonenko, 2018). However, there are also many concerns connected with using social media in an educational setting. These include issues related to a lack of familiarity with the platform, the potential for distraction, and privacy concerns. Therefore, it is important to carefully plan the use of social media in a course to address any potential issues or concerns.
Rubrics as a Tool to Support Equity and Inclusion
While student populations have become increasingly diverse, many groups, including first-generation, non-native English speakers, and individuals with disabilities, still face barriers and bias that can derail their success in college (Super et al., 2020). Traditional grading practices—including penalties for late work, writing in dialects other than standard English, and even plagiarism— are prone to bias and only perpetuate disparities, the research says (Feldman, 2019; Savini, 2021).
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.
Navigating Late Policies Online
Late submissions can raise thorny questions for online instructors. While studies show that students who submit assessments before the due date receive higher than average grades, as many as 70% of college students identify as procrastinators (You, 2015, p. 64). Despite instructor attempts to create a manageable workload and motivate students to submit assignments on time, it is inevitable that procrastination, combined with the competing obligations of online students, will result in occasional late submissions. When preparing for an upcoming term, then, it is a good idea to share a late policy that clearly communicates your expectations for student submissions (Santelli et al., 2020, p. 38).