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CTE Workshop Proceedings
Article . 2025 . Peer-reviewed
License: CC BY
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CTE Workshop Proceedings
Article . 2025
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Game simulators as educational tools for developing algorithmic thinking skills in computer science education

Authors: Maksym S. Kovtaniuk; Svitlana V. Shokaliuk; Alexander N. Stepanyuk;

Game simulators as educational tools for developing algorithmic thinking skills in computer science education

Abstract

This paper presents an analysis of game simulators as educational tools for developing algorithmic thinking skills in computer science education. As computational thinking becomes increasingly important in modern education, innovative approaches to teaching programming and algorithmic concepts are essential. Game simulators offer an engaging and interactive alternative to traditional teaching methods, particularly in developing algorithmic thinking - a fundamental skill in computer science. Through a synthesis of current research and pedagogical theories, this paper examines various game simulators including Blockly Games, Rabbids Coding, Kodu Game Lab, 7 Billion Humans, and Minecraft Education Edition. We analyze their features, implementation strategies, and effectiveness in different educational contexts while providing a theoretical framework connecting gamification principles with educational psychology. The paper also addresses practical challenges in implementation and suggests directions for future research. Our findings indicate that game simulators, when effectively integrated into educational curricula, can significantly enhance student engagement, motivation, and algorithmic thinking skills across various educational levels.

Keywords

Technology, computational thinking, T, educational games, educational technology, gamification, block-based programming, simulation-based learning, L, Education

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
gold