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

Volume

02

fYear

2013

fDate

12-14 Sept. 2013

Firstpage

748

Lastpage

753

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/IDAACS.2013.6663025

Filename

6663025