Abstract

In our rapidly changing world where technology is continuingly being updated and altered, the learning process should (must) be continual as well. To ensure the highest quality of work performance, there are three requirements: 1) clearly structured learning processes; 2) well-organized and structured learning; and 3) knowledge and skill pools. These are especially necessary for novel and rapidly changing technologies such as online engineering. This paper will present an implementation option of how to structure remote labs knowledge using PROMIS®, a knowledge and process management platform.

Highlights

  • The current rapid advancement of new technologies on the market is calling for well-prepared engineers

  • A CUAS research team using the pyramid structure of PROMIS® for organizing knowledge was able to develop a system that provides users with information about remote labs from three different perspectives divided into three main topics

  • The use of a structural knowledge platform represents a key advantage for accessing qualified information for pedagogical and/or self-development learning

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Summary

INTRODUCTION

The current rapid advancement of new technologies on the market is calling for well-prepared engineers. Because of this, engineering education must be continuously updated and developed To adapt to these ever-changing market requirements, the learning process of engineers is permanent and oriented to online solutions. Essential in engineering training is the experimental component or set up of a practical experiment to proof or reject initial hypothesis. In this framework, the challenge is to find qualified resources from which to gain high quality knowledge. A wealth of different sources of information is available over the Internet but this does not mean that they are well documented and/or well structured For this reason a significant number of consortia are attempting to offer successful solutions for online learning

EU EXPERIENCE
STATE OF THE ART
ONLINE ENGINEERING WEAKNESES
ICO-OP – PYRAMID OF REMOTE LABS
CONCLUSION AND FURTHER DEVELOPMENTS
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