Modern higher education takes advantage of MOOC technology. Modeling an education process of Massive open online courses (MOOCs) as a dynamic and multi-agent process is one of the challenging tasks. In this paper, Petri net extensions are investigated in the context of the learnflow modeling. It is shown how a learnflow can be modeled with classical and Colored Petri nets. These extensions facilitate modeling distributed and multi-agent processes. However, existing Petri net extensions do not provide the ability to model an education process in the context of multi-course programs and adaptive learning. We propose \emph{Petri nets with reference data} (PNRDs) for modeling e-learning in MOOCs. PNRDs allow us to represent a model of the education process in a visual, clear and not overloaded form. Moreover, PNRDs enable us to display aspects of multi-course programs and dynamic changes in the MOOC education process. We also show how PNRDs can be used to model online student collaboration in project-based learning.
翻译:现代高等教育利用了MOOC技术。 模拟大规模开放式在线课程(MOOCs)的教育过程是一个充满活力和多试剂的过程,这是一项具有挑战性的任务。 在本文中,在学习流模型中对Petri 净额扩展进行调查。 它展示了如何用古典和彩色Petri网模拟学习过程。 这些扩展促进了分布式和多试剂过程的建模。 但是,现有的Petri 净额扩展并不能提供在多课程方案和适应性学习中模拟教育过程的能力。 我们提议用参考数据}(PNDs)模拟MOOC的电子学习。 PPRDs允许我们以视觉、清晰和不超负荷的形式代表教育过程的模式。 此外,PNDRDs还使我们能够展示多课程方案和MOOC教育过程中动态变化的各个方面。 我们还展示了如何利用PNDs来模拟项目学习中的网上学生协作。