Extracting Rules from Event Data for Study Planning

1 code implementation • 4 Oct 2023 • Majid Rafiei, Duygu Bayrak, Mahsa Pourbafrani, Gyunam Park, Hayyan Helal, Gerhard Lakemeyer, Wil M. P. van der Aalst

In this study, we examine how event data from campus management systems can be used to analyze the study paths of higher education students.

Management

Multi-Valued Partial Order Plans in Numeric Planning

no code implementations • 27 Jul 2023 • Hayyan Helal, Gerhard Lakemeyer

Many planning formalisms allow for mixing numeric with Boolean effects.

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

no code implementations • 22 Nov 2022 • Miriam Wagner, Hayyan Helal, Rene Roepke, Sven Judel, Jens Doveren, Sergej Goerzen, Pouya Soudmand, Gerhard Lakemeyer, Ulrik Schroeder, Wil van der Aalst

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.

Management