Information Technology Services
Date of this Version
2018
Document Type
Article
Citation
Presented at Innovation in Pedagogy and Technology Symposium, University of Nebraska, May 8, 2018.
Abstract
The overarching goal of this presentation is to discuss the use of learning analytics in Canvas to track and predict students’ performances and to provide timely support for success in online courses. In addition, the issue of students’ privacy in online courses will also be reviewed through preliminary survey data. According to Horizon Report 2016, learning analytics is an educational application of web analytics aimed at learner profiling, a process of collecting and analyzing details of individual student performances in their online courses. Learning analytics has developed in three stages, moving from an emphasis on hindsight to foresight. The first stage was describing results, the second stage was diagnosing, and the third stage is predicting what will happen in the future. Within the scope of this presentation, we will 1) present how we are using learning analytics, collected in Canvas courses in the instructor’s role, to track and diagnose students’ performances; 2) discuss our plan to dive deeper into learning analytics with a powerful tool of Google analytics in the third stage of predicting students’ performances; 3) review preliminary survey data about students’ perspectives on the issue of privacy of their learning behaviors in Canvas. The presentation will conclude with tips of how to use the learning analytics feature in Canvas and a call for research collaboration at the UN level to unleash the power of this feature to improve students’ success in online and blended learning.
Included in
Curriculum and Instruction Commons, Educational Methods Commons, Higher Education Commons, Instructional Media Design Commons, Online and Distance Education Commons
Comments
Copyright © 2018 by the authors.