Application of Modern E-Learning Techniques in the Vocational Training in Automation and Robotics

Zbigniew Pilat; Marcin Słowikowski; Jacek Zieliński

doi:10.4028/www.scientific.net/SSP.144.106

Paper Titles

Weak Interactions between Objects Used as New Diagnostic Signals in the Detection of Pipeline Leakages
p.83

Test Stand for Analysis of Fatigue Crack Propagation under Bending with Torsion
p.90

Analysis of Timings in Networks that Use TCP/IP or UDP/IP Protocols for Communication with Industrial Controllers in Mechatronic Systems
p.94

Constitutive Models of Vascular Tissue
p.100

Application of Modern E-Learning Techniques in the Vocational Training in Automation and Robotics
p.106

Wavelet Analysis of Barkhausen Noise in Reconstructing Distributions of Residual Stress
p.112

Diagnostics of Scoring in Gears
p.118

Modeling of Magnetoelastic Materials for Force and Torque Sensors
p.124

Modeling of Moment of Friction under Increasing Load Using Artificial Neural Networks
p.130

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Application of Modern E-Learning Techniques in the Vocational Training in Automation and Robotics

Abstract:

Economical changes in Europe, as well as increasing global competition are the reasons for continuously growing interest in automation and robotics. It causes significant extensions of the needs and offers in vocational training area, while development of ICT techniques enables the introduction of new teaching methods. One of them is e-learning – distance learning supported with electronic presentation and communication media. E-learning can be applied both in a school-based teaching and in a vocational training for adults, and its advantages are particularly significant in technical professions. This paper presents the application of e-learning in the area of automation and robotics.