The Use of Data and Readability Analytics to Assist Instructor and Administrator Decisions in Support of Higher Education Student Writing Skills

In 2016 employers hiring four-year college graduates indicate that 27.8% have deficiencies in written communication. Postsecondary learning objectives should focus on improving specific writing skills like grammar, sentence structure, and vocabulary usage for individual students and monitoring text readability as an overall score to measure learning outcomes. Web-based applications and the tools integrated into them have the potential to serve as a diagnostic solution for analyzing the text readability and writing skills of students. Organization and structuring of Canvas data was required before adding text readability and other writing skills analytics as part of the process to develop diagnostic learning analytics that interprets student writing skills in the learning management system. Decision modeling was used to capture and describe the specifics of literacy improvement decisions for instructors and administrators in a graphical notation and structured format