Amel Yessad

This paper presents SeGAE, an author-friendly environment that offers to instructors a set of editors in order to modify the game design by defining new characters, objectives, victory conditions, authorised actions among other objects in the serious games even after the development stage. Expand

An automated tool for monitoring and analyzing the actions performed by learners. Expand

We propose an approach based on a learning Petri net to assess learners and detect misconceptions in serious games. Expand

This paper presents OrPAF, an Adaptive Educational Hypermedia (AEHS) and web-based System which integrates semantic web models and technologies in order to achieve interoperability with e-learning systems. Expand

Learner assessment in learning games (LG) is an interesting research area for both academia and industry. Expand

This paper addresses both the modeling and the validation of Interactive scenarios in the design stage of serious games. Expand

We developed an approach based on Petri nets, used to model the accurate behavior of the player. Expand

We propose to use Competence-based Knowledge Space Theory to enhance adaptation in Serious Games by considering not only the learner’s competence states but also teachers’ decisions based on their needs. Expand

We present a framework that assists designers to build a model of an expert’s solving process semi-automatically. Expand