Course scheduling in modular educational systems

Lead partner:
IMC Hochschule für Angewandte Wissenschaften Krems
Scientific management:
Ruben Ruiz Torrubiano
Additional participating institutions:
Untis GmbH
Field(s) of action:
Digitalization, intelligent production and materials
Scientific discipline(s):
1020 - Informatik (100 %)
Funding tool: Applied research projects
Project-ID: FTI21-A-002
Project start: 01. Jänner 2023
Project end: 31. Dezember 2025
Runtime: 36 months / finished
Funding amount: € 193.927,00
Brief summary:
In modular educational systems, students have the possibility of choosing a part of their own curricula by themselves. Usually, this takes the form of elective courses that students can choose under certain conditions. This concept is not new and has been applied successfully for many years in countries like Germany (the 'Oberstufe' at the Gymnasium), but additionally, other countries and regions are gaining interest in applying it to their own educational systems (e.g. in Austria with the 'modulare Oberstufe'). However, the practical realization of this concept constitutes an organizational challenge that can only be solved with the help of information technology and digitalization techniques. In this applied research project, we investigate scheduling algorithms for this course scheduling problem from a regional perspective. Several variants of this problem not yet investigated in the literature will be analyzed and algorithms designed to solve that problem. We expect to contribute to the successful application of modular course systems in more educational systems across Europe.
Keywords:
Course scheduling, optimization, metaheuristics, school timetabling
Results
Peer-reviewed publication
Peer-reviewed publication of the findings in WP2.
https://doi.org/10.1016/j.heliyon.2024.e39694
Paper published in the PATAT 2024 proceedings (arXiv preprint)
https://doi.org/10.48550/arXiv.2407.16898
https://doi.org/10.1016/j.heliyon.2024.e39694
https://doi.org/10.48550/arXiv.2407.16898
Non-peer reviewed publication
Currently under peer-review
https://doi.org/http://dx.doi.org/10.2139/ssrn.6237970
Open Research Data
Publicly available repository with test data from German high schools using the extensions of the XHSTT format proposed in the project.
https://github.com/IMC-UAS-Krems/modularXHSTT
https://github.com/IMC-UAS-Krems/modularXHSTT
