History plays a vital role in knowing their past and thus improving and not making the same mistakes in the future. However, history teaching has some shortcomings, such as memorizing history without interpretation, which is boring, uncomfortable, and non-interactive when students learn from books and articles. This work aims to cover this gap with the development of Battle Card, a card game based on the Inca empire and implemented with artificial intelligence algorithms, such as the seek and flee and arrive movement algorithms, the algorithm Depth-First Search, and a state machine. The Scrum framework was applied to manage the project and maintain constant communication with the development team. In addition, Phaser.io was used as a framework for game development on desktop and mobile platforms. Tests were carried out, and the results were finally evaluated through game quality metrics. In conclusion, a fun app about the history of the Incas was obtained with an acceptable level of playability that educators and interested parties can use.
|Título de la publicación alojada||Intelligent Computing - Proceedings of the 2022 Computing Conference|
|Editorial||Springer Science and Business Media Deutschland GmbH|
|Número de páginas||16|
|ISBN (versión impresa)||9783031104664|
|Estado||Publicada - 2022|
|Evento||Computing Conference, 2022 - Virtual, Online|
Duración: 14 jul. 2022 → 15 jul. 2022
Serie de la publicación
|Nombre||Lecture Notes in Networks and Systems|
|ISSN (versión impresa)||2367-3370|
|ISSN (versión digital)||2367-3389|
|Conferencia||Computing Conference, 2022|
|Período||14/07/22 → 15/07/22|
Nota bibliográficaPublisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.