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.

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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

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article

Tool-Assisted Learning of Computational Reductions

Thomas Zeume, Fabian Vehlken, Marko Schmellenkamp, Elias Radtke et al.
1 citations
Intelligent Tutoring Systems and Adaptive Learning
2.48
article

Tool-Assisted Learning of Computational Reductions

Thomas Zeume, Fabian Vehlken, Marko Schmellenkamp, Elias Radtke, Tristan Kneisel
article en
1 citations

Abstract

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.

Ruhr University Bochum (DE)
Deutsche Forschungsgemeinschaft
Openalex Percentile: Top 12%
Intelligent Tutoring Systems and Adaptive Learning
2.48
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