A Comparative Study of Maze Generation Algorithms in a Game-Based Mobile Learning Application for Learning Basic Programming Concepts

This study evaluates several maze generation algorithms applied to generate mazes in a game-based Android mobile application designed to support children in learning basic programming concepts and computational thinking. Each algorithm is assessed for its ability to generate solvable and educational...

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Vydáno v:	Algorithms Ročník 17; číslo 9; s. 404
Hlavní autoři:	Čarapina, Mia, Staničić, Ognjen, Dodig, Ivica, Cafuta, Davor
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Basel MDPI AG 01.09.2024
Témata:	Algorithms Applications programs Cognition & reasoning Comparative studies Complexity computational thinking Computer & video games Computer science Critical thinking Design Efficiency game-based learning Games Independent study Learning strategies Machine learning maze generation Maze learning mazes mobile applications Mobile communications networks Mobile computing Problem solving Programming languages Robotics Robots School environment Skills Structural reliability Toys Wireless telephone software
ISSN:	1999-4893, 1999-4893
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Abstract	This study evaluates several maze generation algorithms applied to generate mazes in a game-based Android mobile application designed to support children in learning basic programming concepts and computational thinking. Each algorithm is assessed for its ability to generate solvable and educationally effective mazes, varying in complexity and size. Key findings indicate that Wilson’s and Aldous–Broder algorithms were identified as the most time inefficient. In comparison, Sidewinder and Binary Tree algorithms perform best for smaller mazes due to their straightforward traversal methods. The Hunt-and-Kill and Recursive backtracker algorithms maintain higher ratios of longest paths, making them suitable for the more complex maze generation required for advanced game levels. Additionally, the study explores various maze-solving algorithms, highlighting the efficiency of the recursive algorithm for simpler mazes and the reliability of Dijkstra’s algorithm across diverse maze structures. This research underscores the importance of selecting appropriate maze generation and solving algorithms to balance generation speed, path complexity, and navigational characteristics. While the study demonstrates the practical applicability of these algorithms in a mobile educational application, it also identifies limitations and suggests directions for future research.
AbstractList	This study evaluates several maze generation algorithms applied to generate mazes in a game-based Android mobile application designed to support children in learning basic programming concepts and computational thinking. Each algorithm is assessed for its ability to generate solvable and educationally effective mazes, varying in complexity and size. Key findings indicate that Wilson’s and Aldous–Broder algorithms were identified as the most time inefficient. In comparison, Sidewinder and Binary Tree algorithms perform best for smaller mazes due to their straightforward traversal methods. The Hunt-and-Kill and Recursive backtracker algorithms maintain higher ratios of longest paths, making them suitable for the more complex maze generation required for advanced game levels. Additionally, the study explores various maze-solving algorithms, highlighting the efficiency of the recursive algorithm for simpler mazes and the reliability of Dijkstra’s algorithm across diverse maze structures. This research underscores the importance of selecting appropriate maze generation and solving algorithms to balance generation speed, path complexity, and navigational characteristics. While the study demonstrates the practical applicability of these algorithms in a mobile educational application, it also identifies limitations and suggests directions for future research.
Audience	Academic
Author	Čarapina, Mia Staničić, Ognjen Cafuta, Davor Dodig, Ivica
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SubjectTerms	Algorithms Applications programs Cognition & reasoning Comparative studies Complexity computational thinking Computer & video games Computer science Critical thinking Design Efficiency game-based learning Games Independent study Learning strategies Machine learning maze generation Maze learning mazes mobile applications Mobile communications networks Mobile computing Problem solving Programming languages Robotics Robots School environment Skills Structural reliability Toys Wireless telephone software
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Title	A Comparative Study of Maze Generation Algorithms in a Game-Based Mobile Learning Application for Learning Basic Programming Concepts
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