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ECHO Project (e-Learning)

E.C.H.O. = Étude Comportementale des Hommilières pour l'Optimisation (Behaviourist Study of Man-Hill for Optimization)


Collaboration : LIL Laboratory, Calais, France and Paraschool Compagny, Paris, France


Goal :



Description :

ACO (developped after the observation of ant-hills) uses virtual ants to find minimal path in a graph. In the Paraschool system, the very large number of students triggered the idea to apply a similar technique using real students rather than virtual ants, with the aim of optimising pedagogical paths traversing a set of educational topics.

Real-size experimentations have shown that ant-hill optimization techniques developped in Paraschool do not directly apply because students do not behave like artificial ants. The concept of an artificial "student-hill", or more generally "man-hill" has been introduced.

New concepts have then been introduced to overcome differences of behaviours and match the pedagogical goals of Paraschool :


The analysis shows that the "man-hill" paradigm is stable over-time and behaves as expected. 
Therefore the advantages are numerous :


Fitness function :

Arcs interconnecting items bear values that are used to compute a fitness function that evaluates how nice it would be for a particular student to follow a particular arc. The fitness function group together


Pedagogical Data: The pedagogical weight represents a static advice given by the teacher.

Behavior Data (Pheromones) : There are two types of pheromones representing success and failure. These data bring to the system an estimation of the success rate and of the number of visits on the differents pedagogical paths.

Individual Data : Those parameters allow to personnalize the suggested paths to each student.

This figure sums up the concepts used by the man-hill paradigm.



Navigation :

This figure is a snapshot displaying the result of the student and the suggestions found by the man-hill paradigm.






Publications :

[2006] Étude Comportementale des Hommilières pour l'Optimisation 
Grégory Valigiani, Évelyne Lutton, Pierre Collet 
In EpiNet, EPI Electronic Magazine, n' 83, march 2006 
Refereed Journal Article


[2006] Automatic Rating Process to Audit a Man-Hill 
Grégory Valigiani, Évelyne Lutton, Yannick Jamont, Raphaël Biojout and Pierre Collet 
In WSEAS Transactions on Advances in Engineering Education, p1-7, Issue 1, Volume 3, January, ISSN 1790-1979, 2006. 
Refereed Journal Article


[2005] Evaluating a Real-Size Man-Hill 
Grégory Valigiani, Évelyne Lutton, Yannick Jamont, Raphaël Biojout, Pierre Collet 
In ECE'WSEAS'05E, 17-19 November, Miami, Florida, USA, 2005. 
Refereed Conference Contribution


[2005] Experimenting with a Real-Size Man-Hill to Optimize Pedagogical Paths 
Grégory Valigiani, Raphaël Biojout, Yannick Jamont, Évelyne Lutton, Pierre Collet 
In SAC'05 Proceedings, 13-17 mars, Santa Fe, New Mexico, USA, 2005. 
Refereed Conference Contribution


[2003] Application de l'optimisation par colonies de fourmis à la structuration automatique de parcours pédagogiques 
Pierre Collet and Yann Semet 
In Revue Enseignement Public et Informatique, Septembre, 2003. 
Refereed Journal Article


[2003] Ant Colony Optimisation for E-Learning: Observing the Emergence of Pedagogic Suggestions 
Pierre Collet, Evelyne Lutton and Yann Semet 
In IEEE Swarm Intelligence Symposium, Indianapolis, USA, April 24-26., 2003. 
Refereed Conference Contribution


[2003] Artificial Ant Colonies and E-Learning: An Optimisation of Pedagogical Paths 
Yann Semet, Evelyne Lutton, Pierre Collet, Yannick Jamont and Raphael Biojout 
In HCII'03 - Human Computer Interaction International, 2003. 
Refereed Conference Contribution


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