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

Elena Soldatova (), Ursula Bach, René Vossen and Sabina Jeschke
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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

A chapter in Automation, Communication and Cybernetics in Science and Engineering 2013/2014, 2014, pp 453-462 from Springer

Abstract: 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.

Keywords: E-Learning; Engineering Education; Recommender System (search for similar items in EconPapers)
Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-08816-7_35

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DOI: 10.1007/978-3-319-08816-7_35

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