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Objective b) Learning analytics, educational data mining
Our project aims to support organizations and individuals in the process of vocational training by generating and analyzing meaningful data from the learning process. The main objective is to stimulate the take-up of learning technologies in different learning contexts. Thus, we aim to use data that have been generated in the context of learning, to deliver evidence of the effectiveness of learning technologies. The results of our data analysis will be presented by intuitive interfaces for visualizing and interacting the data in order to enable individuals and organizations to get a dedicated overview about the effects of learning technologies, encouraging their innovative use.
The initial trigger of this project idea is the headquarter of the European Research Center for Infor-mation Systems (ERCIS) at the University of Münster, Germany (see description below). As major industry partner ERCIS has made an agreements with german industry partners to build up a comprehensive consortium for technology-enhanced learning. In addition, due to its sophisticated network structure, ERCIS has numerous potential research and industry partners at hand that will be considered to join the con-sortium. In addition, ERCIS is looking for enthusiastic partners to engage in the presented project idea. The ERCIS will not necessarily act as project coordinator.
The ideal-ist2018 project is funded by the European Commission under the Leading Industrial Enabling Technologies ICT theme, of the seventh H2020 – Research & Innovation Framework Programme. Any options expressed in these pages are those of the author/organisation and do not necessarily reflect the views of the European Commission.