E-Learning Recommender System for Teaching Staff of Engineering Disciplines

Authors

  • Elena Soldatova Institute Cluster IMA/ZLW&IfU, RWTH Aachen University, Aachen, Germany
  • Ursula Bach Institute Cluster IMA/ZLW&IfU, RWTH Aachen University, Aachen, Germany
  • Rene Vossen Institute Cluster IMA/ZLW&IfU, RWTH Aachen University, Aachen, Germany
  • Sabina Jeschke Institute Cluster IMA/ZLW&IfU, RWTH Aachen University, Aachen, Germany

DOI:

https://doi.org/10.3991/ijep.v4i3.3478

Abstract


Studies show that Learning Management Systems at university level often are lacking necessary for teaching staff member features such as support of various didactical approaches, consideraion of different specifics of engineering disciplines, user-friendly interface. In this paper, a new recommender system aimed at teaching staff of engineering disciplines who wish to use E-Learning tools in their courses is proposed. The system will take into consideration the level of user experience, assess the elements of a teaching scenario and provide guidlines on the contents of the particular element with regards of the engineering specifics. As a result a lecturer should be able to create his E-Learning course that then will be running as a course within the university LMS. 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.

Downloads

Published

2014-06-12

How to Cite

Soldatova, E., Bach, U., Vossen, R., & Jeschke, S. (2014). E-Learning Recommender System for Teaching Staff of Engineering Disciplines. International Journal of Engineering Pedagogy (iJEP), 4(3), pp. 42–47. https://doi.org/10.3991/ijep.v4i3.3478

Issue

Section

Papers