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dc.contributor.authorLukarov, Vlatko
dc.contributor.authorSchroeder, Ulrik
dc.contributor.editorIgel, Christoph
dc.contributor.editorUllrich, Carsten
dc.contributor.editorWessner Martin
dc.date.accessioned2017-10-05T22:32:20Z
dc.date.available2017-10-05T22:32:20Z
dc.date.issued2017
dc.identifier.urihttp://dl.gi.de/handle/20.500.12116/4873
dc.description.abstractIn this paper we present the AiX-Analytics prototype. The tool is a web-based prototype that visualizes usage statistics and analytics of the learning platform’s log data. The prototype has three parts: data management, RESTful application engine, and user interface(s). The data management receives, cleans, analyzes and aggregates the learning platform logs, and saves the derived results and analytics. The RESTful application engine is a Web API application that provides data and analytics to the front-end (UI). The user interface provides a set of visualizations, which interactively presents the learning data for different stakeholders in higher education scenarios. The user interface has two main aspects. The first is intended for the university’s administration and eLearning coordinators, in order to help in understanding how different faculties and institutes use the learning platform. The second aspect focuses on individual courses, where the teaching staff and students can take a look which modules, when, and how were used during the ongoing semester(s). The presented work is an ongoing research project at the Learning Technologies Research Group at RWTH Aachen University.en
dc.language.isoen
dc.publisherGesellschaft für Informatik, Bonn
dc.relation.ispartofBildungsräume 2017
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-273
dc.subjectLearning Analytics
dc.subjectDecision Making
dc.subjectLearning Data
dc.titleAiX-Analytics: Analytics Tool at RWTH Aachen Universityen
mci.reference.pages393-394
mci.conference.locationChemnitz
mci.conference.date05.-08.09.2017


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