Analysis and Design of the Web Game on Descriptive Statistics through the ADDIE Model, Data Science and Machine Learning

Authors

  • Ricardo-Adán Salas-Rueda
  • Érika-Patricia Salas-Rueda
  • Rodrigo-David Salas-Rueda

DOI:

https://doi.org/10.46328/ijemst.v8i3.759

Keywords:

Technology, ADDIE model, Learning, Data science

Abstract

This mixed research aims to analysis and design the Web Game On Descriptive Statistics (WGODS) through the ADDIE model, data science and machine learning. The sample consists of 61 students from a university in Mexico. WGODS is a technological tool (quiz game) that presents various questions and answers about statistics (quantitative and qualitative data). The results of the linear regression (machine learning) indicate that the content and aesthetics of WGODS have a positive influence on the educational process. The ADDIE model allows the organization of WGODS considering the needs of the students. Also, data science identifies 4 predictive models on the use of WGODS in the field of statistics through the decision tree technique. Finally, teachers can transform the organization and development of school activities through the ADDIE model and technology. In particular, WGODS improves the educational process on the quantitative and qualitative data through a pleasant, attractive, simple, easy and useful web interface.

Downloads

Published

2020-05-17

Issue

Vol. 8 No. 3 (2020)

Section

Articles

License

Articles may be used for research, teaching, and private study purposes. Authors alone are responsible for the contents of their articles. The journal owns the copyright of the articles. The publisher shall not be liable for any loss, actions, claims, proceedings, demand, or costs or damages whatsoever or howsoever caused arising directly or indirectly in connection with or arising out of the use of the research material.

The author(s) of a manuscript agree that if the manuscript is accepted for publication in the journal, the published article will be copyrighted using a Creative Commons “Attribution 4.0 International” license. This license allows others to freely copy, distribute, and display the copyrighted work, and derivative works based upon it, under certain specified conditions.

Authors are responsible for obtaining written permission to include any images or artwork for which they do not hold copyright in their articles, or to adapt any such images or artwork for inclusion in their articles. The copyright holder must be made explicitly aware that the image(s) or artwork will be made freely available online as part of the article under a Creative Commons “Attribution 4.0 International” license.


This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

How to Cite

Analysis and Design of the Web Game on Descriptive Statistics through the ADDIE Model, Data Science and Machine Learning. (2020). International Journal of Education in Mathematics, Science and Technology, 8(3), 245-260. https://doi.org/10.46328/ijemst.v8i3.759