Volume 8 Number 3 (Sep. 2018)
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IJEEEE 2018 Vol.8(3): 145-153 ISSN: 2010-3654
doi: 10.17706/ijeeee.2018.8.3.145-153

Expert System for Further Training Management in SMEs

Marcel Randermann, Roland Jochem, Stephan Siek, Thanh Thuy Nguyen
Abstract—The purpose of this paper is to define and describe an expert system for decision-support in further training management in small and medium-sized enterprises (SME). This will be achieved by evaluating the interrelation of the methodological-didactic characteristics of further training activities on the one hand and, on the other hand, linking them with individual learning preferences in order to recommend high-quality and individual measures when selecting continuing vocational training. The approach takes into account both the teaching-learning-arrangement and the learning style of a learner for algorithm-based decision support. For this purpose inherent characteristics of training activities were determined and interrelations identified by qualitative content analysis of educational literature and expert interviews among training managers of SMEs.

Index Terms—Decision support, further training management, human resource development, methodical-didactic analysis.

The authors are with Institute for Machine Tools and Factory Management, Technische Universität Berlin, Berlin, Germany (email: marcel.randermann@tu-berlin.de).

Cite: Marcel Randermann, Roland Jochem, Stephan Siek, Thanh Thuy Nguyen, "Expert System for Further Training Management in SMEs," International Journal of e-Education, e-Business, e-Management and e-Learning vol. 8, no. 3, pp. 145-153, 2018.

General Information

ISSN: 2010-3654
Frequency: Quarterly (Since 2015)
Editor-in-Chief: Prof. Kuan-Chou Chen
Executive Editor: Mr. Ron C. Wu
Abstracting/ Indexing: Google Scholar, Electronic Journals Library, QUALIS, ProQuest, EI (INSPEC, IET)
E-mail: ijeeee@iap.org
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