A Multi-Agent Simulation of Serious Games to Predict Their Impact on E-Learning Processes

Serious games constitute actually a recent and attractive
way supposed to replace the classical boring courses. However,
the choice of the adapted serious game to a specific learning
environment remains a challenging task that makes teachers unwilling
to adopt this concept. To fill this gap, we present, in this paper,
a multi-agent-based simulator allowing to predict the impact of a
serious game integration in a learning environment given several
game and players characteristics. As results, the presented tool
gives intensities of several emotional aspects characterizing learners
reactions to the serious game adoption. The presented simulator
is tested to predict the effect of basing a coding course on the
serious game ”CodeCombat”. The obtained results are compared with
feedbacks of using the same serious game in a real learning process.

Authors:

• Ibtissem Daoudi
• Raoudha Chebil
• Wided Lejouad Chaari

Keywords:

• Emotion
• learning process
• multi-agent simulation
• serious games.

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