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Presentation
How Engaged are our Students? Using Analytics to Identify Students-at-Risk
This conference proceeding was originally published as: Williams, T., Morton, J., Kilgour, P., & Northcote, M. (2018). How engaged are our students? Using analytics to identify students at-risk. In T. Bastiaens (Ed.), Proceedings of EdMedia: World Conference on Educational Media and Technology (pp. 122-128). Amsterdam, Netherlands: Association for the Advancement of Computing in Education (AACE). Retrieved from https://www.learntechlib.org/p/184189 ISBN: 978-1-939797-34-6
  • Anthony Williams, Avondale College of Higher Education
  • Jason K Morton, Avondale College of Higher Education
  • Peter W Kilgour, Avondale College of Higher Education
  • Maria T Northcote, Avondale College of Higher Education
Author Faculty (Discipline)
Education
Document Type
Conference Proceeding
Publication Date
6-1-2018
Disciplines
Reportable Items
E1
Abstract

Learning Management System (LMS) analytics have become an area of increasing interest and development. The potential to better understand our students’ levels of engagement provided by the systems have, to date, has been underutilized information resources. The study reported here looks at the relationship of student and staff engagement in the LMS and considers the levels of predictability in student behavior leading to failure. Also considered is the impact of the lecturer on the student engagement of poor and high performing students.

Comments

Used by permission: AACE and the author(s).

© 2018 Association for the Advancement of Computing in Education (AACE)

Citation Information

Williams, T., Morton, J., Kilgour, P., & Northcote, M. (2018). How engaged are our students? Using analytics to identify students at-risk. In T. Bastiaens (Ed.), Proceedings of EdMedia: World Conference on Educational Media and Technology (pp. 122-128). Amsterdam, Netherlands: Association for the Advancement of Computing in Education (AACE). Retrieved from https://www.learntechlib.org/p/184189