Development of video games to improve the learning of data structures

Luis Salvador-Ullauri; Belén Salvador-Acosta; Carlos Ramos-Galarza; Patricia Acosta-Vargas

doi:10.1007/978-3-030-50896-8_32

Development of video games to improve the learning of data structures

Luis Salvador-Ullauri
, Belén Salvador-Acosta
, Carlos Ramos-Galarza
, Patricia Acosta-Vargas^*

^*Corresponding author for this work

Health

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Computer engineering students have little interest in striving to understand the fundamentals of developing data structures at the origins of computing. In order to improve the learning of the Data Structure course, a strategy has been established for students to develop a simple video game in which the implementation of AVL trees, queues, and stacks shows the importance of using data structures during the development of computational applications. This work suggests a method to stimulate the learning of the essential elements of the software through the development of video games to emphasize the importance of the use of Data Structures. The students involved in this practice used graphic tools to represent the insertion and deletion operations that are performed on three types of Data Structures: AVL Tree, queue and stack.

Original language	English
Title of host publication	Advances in Human Factors in Training, Education, and Learning Sciences - Proceedings of the AHFE 2020 Virtual Conference on Human Factors in Training, Education, and Learning Sciences
Editors	Salman Nazir, Tareq Ahram, Waldemar Karwowski
Publisher	Springer
Pages	212-217
Number of pages	6
ISBN (Print)	9783030508951
DOIs	https://doi.org/10.1007/978-3-030-50896-8_32
State	Published - 2020
Event	AHFE Virtual Conference on Human Factors in Training, Education, and Learning Sciences, 2020 - San Diego, United States Duration: 16 Jul 2020 → 20 Jul 2020

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	1211 AISC
ISSN (Print)	2194-5357
ISSN (Electronic)	2194-5365

Conference

Conference	AHFE Virtual Conference on Human Factors in Training, Education, and Learning Sciences, 2020
Country/Territory	United States
City	San Diego
Period	16/07/20 → 20/07/20

Bibliographical note

Publisher Copyright:
© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2020.

Keywords

Data structures
Educational video games
Improved learning
Software development

Access to Document

10.1007/978-3-030-50896-8_32

Cite this

Salvador-Ullauri, L., Salvador-Acosta, B., Ramos-Galarza, C., & Acosta-Vargas, P. (2020). Development of video games to improve the learning of data structures. In S. Nazir, T. Ahram, & W. Karwowski (Eds.), Advances in Human Factors in Training, Education, and Learning Sciences - Proceedings of the AHFE 2020 Virtual Conference on Human Factors in Training, Education, and Learning Sciences (pp. 212-217). (Advances in Intelligent Systems and Computing; Vol. 1211 AISC). Springer. https://doi.org/10.1007/978-3-030-50896-8_32

Salvador-Ullauri, Luis ; Salvador-Acosta, Belén ; Ramos-Galarza, Carlos et al. / Development of video games to improve the learning of data structures. Advances in Human Factors in Training, Education, and Learning Sciences - Proceedings of the AHFE 2020 Virtual Conference on Human Factors in Training, Education, and Learning Sciences. editor / Salman Nazir ; Tareq Ahram ; Waldemar Karwowski. Springer, 2020. pp. 212-217 (Advances in Intelligent Systems and Computing).

@inproceedings{f2858ef49eab4e96b40c47c0ba39094c,

title = "Development of video games to improve the learning of data structures",

abstract = "Computer engineering students have little interest in striving to understand the fundamentals of developing data structures at the origins of computing. In order to improve the learning of the Data Structure course, a strategy has been established for students to develop a simple video game in which the implementation of AVL trees, queues, and stacks shows the importance of using data structures during the development of computational applications. This work suggests a method to stimulate the learning of the essential elements of the software through the development of video games to emphasize the importance of the use of Data Structures. The students involved in this practice used graphic tools to represent the insertion and deletion operations that are performed on three types of Data Structures: AVL Tree, queue and stack.",

keywords = "Data structures, Educational video games, Improved learning, Software development",

author = "Luis Salvador-Ullauri and Bel{\'e}n Salvador-Acosta and Carlos Ramos-Galarza and Patricia Acosta-Vargas",

note = "Publisher Copyright: {\textcopyright} The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2020.; AHFE Virtual Conference on Human Factors in Training, Education, and Learning Sciences, 2020 ; Conference date: 16-07-2020 Through 20-07-2020",

year = "2020",

doi = "10.1007/978-3-030-50896-8\_32",

language = "English",

isbn = "9783030508951",

series = "Advances in Intelligent Systems and Computing",

publisher = "Springer",

pages = "212--217",

editor = "Salman Nazir and Tareq Ahram and Waldemar Karwowski",

booktitle = "Advances in Human Factors in Training, Education, and Learning Sciences - Proceedings of the AHFE 2020 Virtual Conference on Human Factors in Training, Education, and Learning Sciences",

}

Salvador-Ullauri, L, Salvador-Acosta, B, Ramos-Galarza, C & Acosta-Vargas, P 2020, Development of video games to improve the learning of data structures. in S Nazir, T Ahram & W Karwowski (eds), Advances in Human Factors in Training, Education, and Learning Sciences - Proceedings of the AHFE 2020 Virtual Conference on Human Factors in Training, Education, and Learning Sciences. Advances in Intelligent Systems and Computing, vol. 1211 AISC, Springer, pp. 212-217, AHFE Virtual Conference on Human Factors in Training, Education, and Learning Sciences, 2020, San Diego, United States, 16/07/20. https://doi.org/10.1007/978-3-030-50896-8_32

Development of video games to improve the learning of data structures. / Salvador-Ullauri, Luis; Salvador-Acosta, Belén; Ramos-Galarza, Carlos et al.
Advances in Human Factors in Training, Education, and Learning Sciences - Proceedings of the AHFE 2020 Virtual Conference on Human Factors in Training, Education, and Learning Sciences. ed. / Salman Nazir; Tareq Ahram; Waldemar Karwowski. Springer, 2020. p. 212-217 (Advances in Intelligent Systems and Computing; Vol. 1211 AISC).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Development of video games to improve the learning of data structures

AU - Salvador-Ullauri, Luis

AU - Salvador-Acosta, Belén

AU - Ramos-Galarza, Carlos

AU - Acosta-Vargas, Patricia

N1 - Publisher Copyright: © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2020.

PY - 2020

Y1 - 2020

N2 - Computer engineering students have little interest in striving to understand the fundamentals of developing data structures at the origins of computing. In order to improve the learning of the Data Structure course, a strategy has been established for students to develop a simple video game in which the implementation of AVL trees, queues, and stacks shows the importance of using data structures during the development of computational applications. This work suggests a method to stimulate the learning of the essential elements of the software through the development of video games to emphasize the importance of the use of Data Structures. The students involved in this practice used graphic tools to represent the insertion and deletion operations that are performed on three types of Data Structures: AVL Tree, queue and stack.

AB - Computer engineering students have little interest in striving to understand the fundamentals of developing data structures at the origins of computing. In order to improve the learning of the Data Structure course, a strategy has been established for students to develop a simple video game in which the implementation of AVL trees, queues, and stacks shows the importance of using data structures during the development of computational applications. This work suggests a method to stimulate the learning of the essential elements of the software through the development of video games to emphasize the importance of the use of Data Structures. The students involved in this practice used graphic tools to represent the insertion and deletion operations that are performed on three types of Data Structures: AVL Tree, queue and stack.

KW - Data structures

KW - Educational video games

KW - Improved learning

KW - Software development

UR - https://www.scopus.com/pages/publications/85088742795

U2 - 10.1007/978-3-030-50896-8_32

DO - 10.1007/978-3-030-50896-8_32

M3 - Conference contribution

AN - SCOPUS:85088742795

SN - 9783030508951

T3 - Advances in Intelligent Systems and Computing

SP - 212

EP - 217

BT - Advances in Human Factors in Training, Education, and Learning Sciences - Proceedings of the AHFE 2020 Virtual Conference on Human Factors in Training, Education, and Learning Sciences

A2 - Nazir, Salman

A2 - Ahram, Tareq

A2 - Karwowski, Waldemar

PB - Springer

T2 - AHFE Virtual Conference on Human Factors in Training, Education, and Learning Sciences, 2020

Y2 - 16 July 2020 through 20 July 2020

ER -

Salvador-Ullauri L, Salvador-Acosta B, Ramos-Galarza C, Acosta-Vargas P. Development of video games to improve the learning of data structures. In Nazir S, Ahram T, Karwowski W, editors, Advances in Human Factors in Training, Education, and Learning Sciences - Proceedings of the AHFE 2020 Virtual Conference on Human Factors in Training, Education, and Learning Sciences. Springer. 2020. p. 212-217. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-030-50896-8_32

Development of video games to improve the learning of data structures

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

Other files and links

Cite this