A Proposed Approach for Learner Evaluation in an Open Distance Environment
The remote learning evolution and particularly the e-learning permits to more and more people access to education. One of the learning fields which are to be developed is the learner evaluation. The accuracy and the pertinence of the evaluation results can provide information which can be very exploitable by the tutor in order to let the latter help the learner who has some troubles. The evaluation can also be exploitable by the learner because it provides a feedback oil what he has really understood. Within this context we are 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 collective work evaluation. For the first case, the work consists to make the questionnaires with multiple choices intelligent, e.g., the questions which will be asked will progress in function of the learner's answers in order to identify the knowledge on which he has difficulties. 117 the second case, we will use a multi-agent system in order to achieve the evaluation of a group of learners working oil the same project.
learner evaluation open distance environment knowledge multi-agent system