Learning and Academic Analytics in the Realizeit System
Colm Howlin, Danny Lynch, CCKF Ltd, Ireland
E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education, in New Orleans, LA, USA ISBN 978-1-939797-12-4 Publisher: Association for the Advancement of Computing in Education (AACE), San Diego, CA
Analytics allows the discovery and communication of patterns and relationships hidden within data. In the context of education, capturing deeply granular data offers educators the potential to gain previously unobtainable insights into the learning process and allows them to make data-informed decisions. This paper discusses the analytics made available through the Realizeit adaptive learning platform. These can largely be split into two groups; Learning Analytics which is concerned with the ongoing learning process and Academic Analytics which focuses on institutional level insights. In particular the latter will be emphasized by presenting a series of modular outputs from the analytics being run on a real English Composition course delivered through Realizeit. These modular components will highlight some of the potential insights that are available from educational data.
Howlin, C. & Lynch, D. (2014). Learning and Academic Analytics in the Realizeit System. In T. Bastiaens (Ed.), Proceedings of World Conference on E-Learning (pp. 862-872). New Orleans, LA, USA: Association for the Advancement of Computing in Education (AACE).
© 2014 Association for the Advancement of Computing in Education (AACE)