A Web-Based Recommendation System for Engineering Education E-Learning Systems

Thorsten Sommer (), Ursula Bach, Anja Richert and Sabina Jeschke
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Thorsten Sommer: RWTH Aachen University, IMA/ZLW & IfU
Ursula Bach: RWTH Aachen University, IMA/ZLW & IfU
Anja Richert: 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 463-475 from Springer

Abstract: Abstract Today there is a flood of e-learning and e-learning related solutions for engineering education. It is at least a time consuming task for a teacher to find an e-learning system, which matches their requirements. To assist teachers with this information overload, a web-based recommendation system for related e-learning solutions is under development to support teachers in the field of engineering education to find a matching e-learning system within minutes. Because the e-learning market is subject of very fast changes, an agile engineering process is used to ensure the capability to react on these changes. To solve the challenges of this project, an own user-flow visual programming language and an algorithm are under development. A special software stack is chosen to accelerate the development. Instead of classical back-office software to administer and maintain the project, a web-based approach is used – even for a complex editor. The determining of the necessary catalog of related solutions within “real-time” is based on big data technologies, data mining methods and statistically text analysis.

Keywords: E-Learning; Recommendation System; Agile Process; Teachers; Professors; Web 2.0; Software Engineering; Open Source (search for similar items in EconPapers)
Date: 2014
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DOI: 10.1007/978-3-319-08816-7_36

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