JUCS - Journal of Universal Computer Science 21(1): 156-174, doi: 10.3217/jucs-021-01-0156
Learning Analytics for English Language Teaching
Hannah Volk‡, Karl Kellner§, David Wohlhart§‡ University of Graz, Graz, Austria§ Private University of Teacher Education KPH Graz, Graz, Austria
Corresponding author: Hannah Volk ( hannah.volk@uni-graz.at ) © Hannah Volk, Karl Kellner, David Wohlhart. This article is freely available under the J.UCS Open Content License. Citation:
Volk H, Kellner K, Wohlhart D (2015) Learning Analytics for English Language Teaching. JUCS - Journal of Universal Computer Science 21(1): 156-174. https://doi.org/10.3217/jucs-021-01-0156 |  |
Abstract
In recent times, online learning platforms get more and more attention and the number of collected data is growing. Learning analytics is a valuable opportunity to gain specific information for a better understanding of student's learning behaviour and to improve their learning success. In this work, the collected data of the online learning platform www.more-online.at is analysed and first research results are presented. The main objective is to analyse the usage behaviour over a school year and to show the diffusion of the online platform among provinces in Austria, different school types and other characteristics. Furthermore, the content of the online platform is put under closer examination to enable decisions about the efficiency and effectiveness of different types of exercises.
Keywords
learning analytics, big data analysis, educational data mining, e-learning