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首页> 外文期刊>Journal of Management in Engineering >Learning Curve Models for Construction Workers
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Learning Curve Models for Construction Workers

机译：学习建筑工人的曲线模型

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摘要

Workplace training aims to enhance the performance of trainees by improving their specific skills. Unfortunately, the outcome of such trainings in terms of the percentage of increase in trainees' performance is not generally measured. On one hand, this lack of measurement results in contractors not recognizing the importance of training in enhancing workers' performance, and on the other hand, the training providers do not receive constructive feedback on the efficacy of their sessions. This study therefore attempts to bridge this gap by developing a regression model of the socioemotional, cognitive, and technical skills of workers and their performance. Data was collected on 137 workers from four training centers in India. Using the developed model, a learning curve was drawn between performance and training time. Additionally, skills versus training time curves were also plotted. The results indicate that workers' performance after training was far below the desired level of employers; the reason for this emerges from skills versus training time curves, where it is found that the training does not focus on enhancing socioemotional and cognitive skills. Therefore, the study recommends that training providers incorporate these skills in their training curriculum to achieve more desirable outputs from training.
机译：工作场所培训旨在通过提高其特定技能来提高学员的表现。不幸的是，通常衡量了衡量人们性能的增加百分比的培训的结果。一方面，这种缺乏测量结果在承包商中没有认识到培训在加强工人绩效方面的重要性，另一方面，培训提供者没有收到关于他们会议的疗效的建设性反馈。因此，这项研究通过开发人员的社会情调，认知和技术技能的回归模型以及其性能的回归模型来弥合这种差距。来自印度的四个培训中心的137名工人收集了数据。使用开发的模型，在性能和培训时间之间绘制了学习曲线。此外，还绘制了技能与训练时间曲线。结果表明，培训后的工人的表现远远低于所需的雇主水平;这源于技能与培训时间曲线的原因，发现培训并不专注于加强社会间谍和认知技能。因此，该研究建议培训提供者在其培训课程中纳入这些技能，以实现从训练中获得更可取的产出。

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