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Players Performances Analysis based on Educational Data Mining Case of Study: Interactive Waste Sorting Serious Game

by Elaachak Lotfi, Belahbib Amine, Bouhorma Mohammed
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 108 - Number 11
Year of Publication: 2014
Authors: Elaachak Lotfi, Belahbib Amine, Bouhorma Mohammed
10.5120/18954-0217

Elaachak Lotfi, Belahbib Amine, Bouhorma Mohammed . Players Performances Analysis based on Educational Data Mining Case of Study: Interactive Waste Sorting Serious Game. International Journal of Computer Applications. 108, 11 ( December 2014), 13-18. DOI=10.5120/18954-0217

@article{ 10.5120/18954-0217,
author = { Elaachak Lotfi, Belahbib Amine, Bouhorma Mohammed },
title = { Players Performances Analysis based on Educational Data Mining Case of Study: Interactive Waste Sorting Serious Game },
journal = { International Journal of Computer Applications },
issue_date = { December 2014 },
volume = { 108 },
number = { 11 },
month = { December },
year = { 2014 },
issn = { 0975-8887 },
pages = { 13-18 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume108/number11/18954-0217/ },
doi = { 10.5120/18954-0217 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:42:42.557382+05:30
%A Elaachak Lotfi
%A Belahbib Amine
%A Bouhorma Mohammed
%T Players Performances Analysis based on Educational Data Mining Case of Study: Interactive Waste Sorting Serious Game
%J International Journal of Computer Applications
%@ 0975-8887
%V 108
%N 11
%P 13-18
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Serious games have become one of the powerful tools in the education field, view of their capability to transmit the knowledge to the players/ students, but to judge if a given serious game is effective there must be a system that analyzes the performances and behaviors of the players, to see their level of understanding about a particular topic proposed by the serious game. In this perspective of research and development this paper presents a method for analysis concerning the performances of serious game players, based on educational data mining, with the aim of helping the instructors and the experts to improve their strategies of teaching. An evaluation of how our method proved successful with an outlook on future research concludes this paper.

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Index Terms

Computer Science
Information Sciences

Keywords

Serious Games Waste Sorting Educational Data Mining K-means Assessment Player Performances

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