MOVING: A User-Centric Platform for Online Literacy Training and Learning

Aitor Apaolaza, Tobias Backes, Sabine Barthold, Irina Bienia, Till Blume, Chrysa Collyda, Angela Fessl, Sebastian Gottfried, Paul Grunewald, Thomas Köhler, Franziska Günther, Robert Lorenz, Matthias Heinz, Sabrina Herbst, Vasileios Mezaris, Chifumi Nishioka, Alexandros Pournaras, Vedran Sabol, Ahmed Saleh, Ansgar ScherpIlija Šimić, Andrzej M.J. Skulimowski, I. Vagliano, Markel Vigo, Michael Wiese, Tanja Zdolšek Draksler

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

Abstract

In this paper, we present an overview of the MOVING platform, a user-driven approach that enables young researchers, decision makers, and public administrators to use machine learning and data mining tools to search, organize, and manage large-scale information sources on the web such as scientific publications, videos of research talks, and social media. In order to provide a concise overview of the platform, we focus on its front end, which is the MOVING web application. By presenting the main components of the web application, we illustrate what functionalities and capabilities the platform offer its end-users, rather than delving into the data analysis and machine learning technologies that make these functionalities possible.
Original languageEnglish
Title of host publicatione-Science
EditorsC. Koschtial, T. Köhler, C. Felden
PublisherSpringer
DOIs
Publication statusPublished - 20 Mar 2021

Publication series

NameProgress in IS

Keywords

  • Adaptive training support
  • MOVING platform
  • MOVING web application
  • Recommender system

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