Title :
LeMo: A learning analytics application focussing on user path analysis and interactive visualization
Author :
Fortenbacher, Albrecht ; Beuster, Liane ; Elkina, Margarita ; Kappe, Leonard ; Merceron, A. ; Pursian, Andreas ; Schwarzrock, Sebastian ; Wenzlaff, Boris
Author_Institution :
Univ. of Appl. Sci. for Eng. & Econ. (HTW Berlin), Berlin, Germany
Abstract :
LeMo is the prototype of an application for learning analytics, which collects data about learners´ activities from different learning platforms. The article describes design principles of LeMo and their implications for efficient learning analytics. Focus is on the LeMo system architecture, user path analysis by algorithms of sequential pattern mining, and visualization of learners´ activities.
Keywords :
computer aided instruction; data mining; data visualisation; educational administrative data processing; interactive systems; LeMo system architecture; interactive visualization; learner activity visualization; learning analytics application; sequential pattern mining; user path analysis; Algorithm design and analysis; Data models; Data privacy; Data visualization; Educational institutions; Navigation; Servers; learning analytics; sequential pattern mining; user path analysis; visual analytics;
Conference_Titel :
Intelligent Data Acquisition and Advanced Computing Systems (IDAACS), 2013 IEEE 7th International Conference on
Conference_Location :
Berlin
Print_ISBN :
978-1-4799-1426-5
DOI :
10.1109/IDAACS.2013.6663025
