Project

Math-Bridge

Math-Bridge

Math-Bridge

  • Duration:
  • Research Topics
    Other

Math-Bridge is the first pan-European e-Learning platform for online bridging courses in mathematics. It has been developed as a joint effort by nine universities and research institutions from seven countries. The platform allows teachers and students to interact with thousands of mathematical learning objects available in seven languages. Users of Math-Bridge can select one of many pre-defined courses, build their own courses or use the adaptive course generation tool. The Math-Bridge e-Learning platform supports rich educational experience by providing many types of learning objects: from theorems, proofs and definitions to instructional examples and interactive exercises.

As part of this project funded by the European Commission, DFKI’s EdTec Lab developed an intelligent tutorial learning system using the methods and technologies of artificial intelligence, in particular knowledge-based expert systems. This enabled individual support in the learning process, firstly via adaptiveness effects in learning content and didactic aspects, and secondly through recommendations for learning pathways and methods. The focus was on learners’ learning needs, learning with dynamic exercises, tracking learning progress, and learning in multiple languages.

Partners

Tampere University of Technology, Open Universiteit Nederlands, Universität Wien, Zinev Art Technologies Ltd, eurotype OHG - media asset management, Universität des Saarlandes, Eötvös Loránd University, Universität Kassel, Université Montpellier II

Sponsors

EU - European Union

eContentPlus

EU - European Union

Share project:

Contact Person

Keyfacts

Images

Publications about the project

Michael Dietrich,

In: Isabell Bausch, Rolf Biehler, Regina Bruder, Pascal R. Fischer, Reinhard Hochmuth, Wolfram Koepf, Stephan Schreiber, Thomas Wassong. Mathematische Vor- und Brückenkurse. Pages 231-242 Konzepte und Studien zur Hochschuldidaktik und Lehrerbildung Mathematik ISBN 978-3-658-03064-3 Springer 2014.

To the publication
Michael Dietrich, Jörg Siekmann,

In: Thomas Wassong, Daniel Frischemeier, Pascal R. Fischer, Reinhard Hochmuth, Peter Bender. Mit Werkzeugen Mathematik und Stochastik lernen - Using Tools for Learning Mathematics and Statistics. Chapter 31 Pages 437-451 Springer 2014.

To the publication
Michael Dietrich,

In: Andrew Ravenscroft, Stefanie N. Lindstaedt, Carlos Delgado Kloos, Davinia Hernandez Leo (editor). 21st Century Learning for 21st Century Skills - 7th European Conference of Technology Enhanced Learning Proceedings. European Conference on Technology Enhanced Learning (EC-TEL-2012) 7th September 18-21 Saarbrücken Germany Springer 2012.

To the publication
All publications

German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz