Improving Teaching Staff Lifelong Learning Using Fuzzy Algorithms

Abstract:

Today, on the labour market daily are recorded a lot of changes (legislation, migrations, etc.). The need of continuing education can be foreseen related to the big number of companies (private or public) which are looking for the right person to be hired on the right position. Unfortunately, very often the enterprise engages a person that will be trained later according to the companies future needs. The paper presents a software application (SFCD) proposed to the training responsible to help them to choose the teachers from the pre-university system that can be financed from public funds to follow continuing educational programs. The engine of the SFCD application is based on fuzzy inference system and the programming language used was Visual C++ [5]. The paper describes Academica (I, II and III) programs that are running since 2005 at Transilvania University of Brasov, Romania, which main aim is to enhance teaching skills and specific competences to the pre-university staff. The structure and importance of each program, the activities offered to the trainees, the novelty feature of the programs, the assessing and some concluding remarks are here presented [1].

• Periodical: Applied Mechanics and Materials (Volume 371)
• Pages: 749-753
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.371.749
• Online since: August 2013
• Authors: Camelia Butnaru, Anișor Nedelcu
• Keywords: Continuing Education, Fuzzy Inference System, Professional Competence, Software Application

References

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[2] M.V. Drăgoi, A. Nedelcu, C. Bucur., Lifelong learning, a requirement of the modern education, Proceedings of the 4th Balkan Region Conference on Engineering Education: Bridging Cultures and Technologies in the 21st Century, Sibiu, 2007, pp.55-58.

[3] C. Bucur, Intensive learning and holistic communication reengineering - premises for the new generation of human resources quality growing (in Romanian), PhD thesis, Transilvania University of Brasov (2010).

[4] Information available on htpp: /www. microsoft. com , accessed: 05. 02. (2013).

[5] Information available on http: /blog. peltarion. com/2006/10/25/fuzzy-math-part-1-the-theory/ , accessed: 27. 11. (2012).

[6] E.P. Dadios, Fuzzy Logic - Algorithms, Techniques and Implementations, inTech, Croatia, (2012).