Tool-Assisted Learning of Computational Reductions
Computational reductions are an important and powerful concept in computer science. However, they are difficult for many students to grasp. In this paper, we outline a concept for how the learning of reductions can be supported by educational support systems. We present an implementation of the concept within such a system, concrete web-based and interactive learning material for reductions between graph-based problems, and report on our experiences using the material in a large introductory course on theoretical computer science.
Authors
- Thomas Zeume (ORCID: https://orcid.org/0000-0002-5186-7507)
- Fabian Vehlken
- Marko Schmellenkamp (ORCID: https://orcid.org/0000-0003-3966-6590)
- Elias Radtke
- Tristan Kneisel
Institutions
- Ruhr University Bochum (DE)
Publication Details
- Published
- 2025-02-12
- DOI
- https://doi.org/10.1145/3641554.3701967
- Citations
- 1
- Primary Topic
- Intelligent Tutoring Systems and Adaptive Learning
- Type
- article
- Field-Weighted Citation Impact
- 2.48
Funders
- Deutsche Forschungsgemeinschaft