A Combined Approach of Process Mining and Rule-based AI for Study Planning and Monitoring in Higher Education

@article{Wagner2022ACA,
  title={A Combined Approach of Process Mining and Rule-based AI for Study Planning and Monitoring in Higher Education},
  author={Miriam Wagner and Hayyan Helal and Rene Roepke and Sven Judel and Jens Doveren and Sergej Goerzen and Pouya Soudmand and Gerhard Lakemeyer and Ulrik Schroeder and Wil M.P. van der Aalst},
  journal={ArXiv},
  year={2022},
  volume={abs/2211.12190}
}
. This paper presents an approach of using methods of process mining and rule-based artificial intelligence to analyze and understand study paths of students based on campus management system data and study program models. Process mining techniques are used to characterize successful study paths, as well as to detect and visualize deviations from expected plans. These insights are combined with recommendations and requirements of the corresponding study programs extracted from examination… 
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