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Creating an E-Learning Recommender System Supporting Teachers of Engineering Disciplines

In: Automation, Communication and Cybernetics in Science and Engineering 2013/2014

Author

Listed:
  • Elena Soldatova

    (RWTH Aachen University, IMA/ZLW & IfU)

  • Ursula Bach

    (RWTH Aachen University, IMA/ZLW & IfU)

  • René Vossen

    (RWTH Aachen University, IMA/ZLW & IfU)

  • Sabina Jeschke

    (RWTH Aachen University, IMA/ZLW & IfU)

Abstract

Numerous reviews and studies have shown that Learning Management Systems at university level often are lacking from a number of characteristics such as the support of various didactical approaches, the possibility to consider different specifics of engineering disciplines or a lecturer friendly interface. In this paper, a new recommender system is proposed for teaching staff of engineering disciplines; the novelty of the recommender system is that criteria used by the system are based on standards for engineering education in conjunction with the framework for pedagogical evaluation of Virtual Learning Environments. The suitability assessment scenario being suggested identifies the various needs of teaching staff member with regards to his/her course, teaching methods and also suggests tools that are necessary to increase functionality.

Suggested Citation

  • Elena Soldatova & Ursula Bach & René Vossen & Sabina Jeschke, 2014. "Creating an E-Learning Recommender System Supporting Teachers of Engineering Disciplines," Springer Books, in: Sabina Jeschke & Ingrid Isenhardt & Frank Hees & Klaus Henning (ed.), Automation, Communication and Cybernetics in Science and Engineering 2013/2014, edition 127, pages 453-462, Springer.
    • Handle: RePEc:spr:sprchp:978-3-319-08816-7_35
    DOI: 10.1007/978-3-319-08816-7_35
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