Open AccessTHE LEARNING AN ALYTICS APPLICATION LEMO – RATIONALSAND FIRST RESULTS
Author(s) -
Margarita Elkina,
Albrecht Fortenbacher,
Agathe Merceron
Publication year - 2014
Publication title -
computing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.184
H-Index - 11
eISSN - 2312-5381
pISSN - 1727-6209
DOI - 10.47839/ijc.12.3.603
Subject(s) - learning analytics , computer science , focus (optics) , visualization , context (archaeology) , analytics , visual analytics , open source , learning design , architecture , data science , human–computer interaction , data visualization , path (computing) , artificial intelligence , mathematics education , software , programming language , art , paleontology , visual arts , physics , mathematics , optics , biology
LeMo is an open source application for learning analytics, which collects data about learners' activities from different platforms. This article describes design principles of LeMo in the context of creating an efficient tool for learning analytics. Focus is on the LeMo system architecture, user path analysis employing algorithms of sequential pattern mining, and visualization of learners' activities implemented in the current version. A case stud y shows first results.