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摘要

随着知识驱动型经济的出现,为专业人士提供培训的机构迎来了生意兴隆的时代。另一方面,他们需要创建越来越多的新课程,并以越来越快的速度为越来越多的客户提供服务。MOOC/在线课程提供商、大型组织的培训部门,以及为企业受众提供短期课程的现代大学,都面临着各种各样的问题。因此,在设计和实施培训课程时,需要优化利用所有可用资源:培训师/学员/组织的时间、基础设施等。目前的做法是手动完成。在本文中,我们为该过程的自动化构建了一个案例。我们提出了3个问题的数学模型。一旦建立了一个问题的数学模型,就有可能对这些问题进行多次分析,设计自动化的解决方案。从数学模型中可以看出,培训课程设计问题的复杂性已经超出了人类专家能够有效处理的范围。随着时间的流逝,差距只会越来越大。我们的仿真验证了我们提供的解决方案的效率和有效性。
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Towards Automatic Training Design
With the emergence of a knowledge driven economy, these are times of brisk business for institutions providing training to professionals. The flipside of this is that there is an ever increasing demand on them to create a growing number of new courses, and serve an ever increasing flow of customers ata faster and faster pace. In its various flavours, this problem is faced by MOOC/online course providers, training departments of large organisations, and modern universities which offer short term courses for corporate audience as well. Hence, there is a need to optimally utilise all available resources: time of trainer/trainee/organisation, infrastructure etc. while designing and conducting training courses. Current practice is to do thismanually. In this paper, we build a case for automation of this process. We present mathematical models for 3 problems in this space. Once a mathematical model of a problem is developed, it becomes possible to carry out several analyses on these problems, design automated solutions. As is revealed from the mathematical models, the problem of training curriculum design has already grown beyond the complexity that a human expert can handle efficiently. With every passing day, the gap will only increase. Our simulations establish the efficiency and effectiveness of the solutions we provide.
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