The Current State of Analytics in Writing Pedagogy
Professor Ann Hill Duin and Jason Tham (PhD in RSTC 2019) have published an article in the March 2020 (volume 55) issue of Computers and Composition. Duin and Tham report on the UMN Canvas learning management system (LMS) experience to help writing instructors become for familiar with levels of access and mindful of implications stemming from such use.
Amid the burgeoning interest in and use of academic and learning analytics through learning management systems (LMS), the implications of big data and their uses should be central to computers and writing scholarship. In this case study we describe the UMN Canvas LMS experience in such as way so that writing instructors might become more familiar with levels of access to academic and learning analytics, more acquainted with the analytical capabilities in LMSs, and more mindful of implications of learning analytics stemming from LMS use in writing pedagogy. We provide a historical account on the development and infusion of LMS in writing pedagogy and demonstrate how these systems are affecting the way computers and composition scholars consider writing instruction and assessment. We then respond critically to the collection of data drawn from the authors’ use of these systems in on-campus and online teaching. We conclude with implications for writing pedagogy along with a matrix for addressing ethical concerns.