Abstract  The  remote  learning  evolution  and  particularly  the  e-learning  permits  to  more  and  more  people  access  t o  education. One of the learning fields which are to  be developed is the learner evaluation. The accurac y and the pertinence of  the  evaluation  results  can  provide  information  whic h  can  be  very  exploitable  by  the  tutor  in  order  to let  the  latter  help  the  learner who has some troubles. The evaluation can a lso be exploitable by the learner because it provides a feedback on what  he  has  really  understood.  Within  this  context we ar e interested by two types of cognitive evaluations, the first one concerning  the self-evaluation by questionnaires with multiple  choices and the second one concerning the collecti ve work evaluation. For  the  first  case,  the  work  consists  to  make  the  quest ionnaires  with  multiple  choices  intelligent,  e.g., the  questions  which  will  be  asked  will  progress in function of the learner’s an swers in order to identify the knowledge on which h e has difficulties. In the  second  case,  we  will  use  a  multi-agent  system  in  or der  to  achieve  the  evaluation  of  a  group  of  learners  working  on  the  same  project.     

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[19] Tematice, FMSH http://edutice.archives-ouvertes .fr/ docs /00/ 02/ 74/77/ PDF /Delorme_Delettre_ Pecuchet .pdf, 2006 Amar Balla is a senior lecturer in National Institute of Computer Science, Algiers, Algeria. He works within a project in Laboratoire de M thodes de Conception de Syst mes. He is a director of research for two teams of teachers- researchers. His current research is related to e- learning, adaptive hypermedia, collaborative work, and agent based software engineering.