Xu,S (Xu, Sheng); Ding, LY (Ding, Lieyun)

下载地址：http://www.aimsciences.org/journals/displayArticlesnew.jsp?paperID=10309

Abstract：The problem of low-skilledworkers is an obstacle in the development of the Chinese construction industry.Although many efforts have been focused on occupational training, there wereseveral obstacles in implementing training sessions to labours. Other learningpathways were identified and introduced, but not many efforts could be found inthe comparison of different learning pathways. This research simulateddifferent skill learning methods in heterogeneous construction crews. Withquantitative simulation, it explored general rules of skill learning andlearning limits; discovered different learning patterns in heterogeneousconstruction workers; compared the effects of different learning methods; andidentified the most beneficial learning pathways for workers with differentlearning patterns. A pre-modelling survey was conducted to determine thedistributions of parameters. A network model was built to describe groupinteraction. Nodes in the network represented individual workers learning fromrepetitive work and influenced by training sessions and interpersonalcommunication. Results show that (a) besides training sessions, automaticon-the-job training and interactive learning from co-workers are also sourcesfor working knowledge; (b) workers can be categorized into 5 groups accordingto their knowledge accumulation patterns; (c) formal training sessions andinformal interactive social learning have different impact on workers withdifferent accumulation patterns. The main contribution of this research is thatit is among the firsts to discuss and simulate the multi-sourced learningprocess as supplements to skill trainings, identify different learning patternscorresponding to different learning groups, and make comparisons to giveguidance on targeted learning strategies.

Keywords:  Construction workers, network, simulation, skill learning,trianing.