Résumé:
Due to the COVID 19 pandemic, academic institutions have been
forced to integrate collaboration into e-learning, making it possible to increase
the level of exchange of ideas in the group and mutual stimulation, encouraging
thus the interaction between the learners. But the evaluation of collaborative work
online is always a problem, it's not just about evaluating the
knowledge and skills of the learners, but also their participation
and their inclusion in a group.
Our end-of-study project concerns the design and implementation of a system
th evaluation of learning through collective evaluation exercises,
whether collaborative or cooperative.
Our system consists of a learning website that allows teachers
submit courses and exams. Exams are solved by groups
learners in a collaborative or cooperative way.
The evaluation of the learners is done through the marks of the exams, their level
of communication, their presence or absence at the examination and the feelings expressed
during the collaboration. These criteria have been linked by normalization functions
to calculate the collaboration factor between learners, which constitutes the value of
collaboration of each learner.
The system simulation results showed that it is recommended to use
normalization functions that give average values for the factor
collaboration.
