Abstract
The consulting system OSWI—Orientating System for Economy and Computer Science—has been developed by commission of the Faculty of Economy and Computer Science of the University of Duisburg-Essen. The system is based on the characteristics and expected abilities for the different courses of study of the faculty, which were formulated by the professors as representatives of their respective fields. The algorithmic base of the system is a new self-organized learning neural network that has been developed by us, namely the self-enforcing network. OSWI has been used, at present, by more than 5,000 students and pupils and was always evaluated by the users as a very useful and user-friendly system for selecting among the faculty’s courses. The methodical approach for obtaining the database of the system and the algorithm with which OSWI operates is both highly innovative and very well suited for other areas.
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Notes
OSWI = Orientierungssystem für Wirtschaftswissenschaften und Informatik. http://www.cobasc.de/softcomputing/content/view/138/55/ (German Version).
Our methodical approach has a very slight similarity to that of Marivate et al. (2008) that compares key words of certain lectures with general interests of the students.
The representation of such a database in form of a matrix was already done by Ritter and Kohonen (loc. cit.); the term “semantical matrix” is from us.
One of the systems we tested just stated flatly without any explanation that the tester, one of the authors, was not suited for any course at the particular university that had developed this system. Fortunately the tester had already successfully finished his studies several years ago.
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Klüver, C., Klüver, J. & Zurmaar, B. OSWI: a consulting system for pupils and prospective students on the basis of neural networks. AI & Soc 30, 23–30 (2015). https://doi.org/10.1007/s00146-014-0542-y
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DOI: https://doi.org/10.1007/s00146-014-0542-y