Learning Analytics in a Blended Learning Context
Mike Carbonaro, Amanda Montgomery, University of Alberta, Canada ; Amin Mousavi, University of Saskatchewan, Canada ; Bill Dunn, Denyse Hayward, University of Alberta, Canada
EdMedia + Innovate Learning, in Washington, DC ISBN 978-1-939797-29-2 Publisher: Association for the Advancement of Computing in Education (AACE), Waynesville, NC
The increasing implementation of blended learning courses is altering the way students interact with content, instructors and other students. These blended learning courses often depend on a Learning Management System (LMS) that stores extensive data logs on student progress and their interactions with course materials. One of the difficulties is the data log provided by the LMS is often not in a clean format that is well suited for analysis. This can make it challenging to interpret the data to support and enhance the learning experience. This session will discuss the lessons learned from developing a data analysis strategy to understand the relationship between a student’s engagement and achievement in a blended learning (BL) teacher education music course.
Carbonaro, M., Montgomery, A., Mousavi, A., Dunn, B. & Hayward, D. (2017). Learning Analytics in a Blended Learning Context. In J. Johnston (Ed.), Proceedings of EdMedia 2017 (pp. 62-66). Washington, DC: Association for the Advancement of Computing in Education (AACE).
© 2017 Association for the Advancement of Computing in Education (AACE)