Authors:
Ibtissem Daoudi
;
Raoudha Chebil
and
Wided Lejouad Chaari
Affiliation:
National School of Computer Sciences (ENSI) and Manouba University (UMA), Tunisia
Keyword(s):
E-learning Process, Emotional State, Multi-agent-based Simulator, Serious Game.
Related
Ontology
Subjects/Areas/Topics:
Agents
;
Artificial Intelligence
;
Artificial Intelligence and Decision Support Systems
;
Bioinformatics
;
Biomedical Engineering
;
Computer-Supported Education
;
Distributed and Mobile Software Systems
;
e-Learning
;
e-Learning and e-Teaching
;
Enterprise Information Systems
;
Information Systems Analysis and Specification
;
Knowledge Engineering and Ontology Development
;
Knowledge-Based Systems
;
Methodologies and Technologies
;
Multi-Agent Systems
;
Operational Research
;
Simulation
;
Software Agents and Internet Computing
;
Software Engineering
;
Symbolic Systems
Abstract:
In recent years, the rapid development in information and communication technologies has provided the learning field with a variety of new teaching methods to motivate students and improve their skills. Serious Game (SG) is an example of these new forms of learning which constitutes an attractive way supposed to replace the classical boring courses. However, the use of SGs in classroom teaching is still limited since the choice of the adapted SG to a specific learning environment remains a challenging task that makes teachers unwilling to adopt this concept.Face to this finding, our aim is to propose a multi-agent-based simulator to predict the effect of a SG adoption in a learning environment given several game and players characteristics. As results, the simulator gives intensities of several emotional aspects characterizing learners reactions to the SG adoption. Experimentation demonstrates that the results given by the proposed tool are close to real feedbacks. This work is suppo
sed to encourage the use of SGs by giving an expectation of its impact on e-learning processes.
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