PROCEEDINGS IPMU '08
The suitable learning path for a learner
Adil HADDI, Mohammed RAMDANI, Mostafa BELLAFKIH
The motivation behind this work is to
realize the learning management
system (LMS) where we take the
automatic assessment of the learners,
the documents and the trainers into
account. We proceed to the automatic
assessment of learners’ responses to the
exercises about the contained of
learning units (training units). The
responses assessment consists in
calculating the degree of resemblance
between the response models and
learners’ answers to the exercises
suggested by the trainers. The
responses models are stored in the
XML data files. With this assessment,
we can give a score corresponding to
the degree of understanding the
learning unit content by a learner. In
order to evaluate the effectiveness of a
learning unit and the pedagogic
performance of a trainer, we used, in
addition to the score, other parameters
in the assessment such as the
consultation time and the assessment
time. These three parameters have been
considered as the input of our
automatic assessment system. The
values of these parameters are captured
and transferred to the assessment
system which calculates a global score.
The global score gives an idea about
the level of understanding of the
learning unit by each learner. These
scores are stored in a database in order
to build pertinent indicators to evaluate,
compare and classify learning units and
trainers by using statistical techniques.
Since there are several types of
learning units, we apply the global
scores to extract the learner’s tendency
in each learning unit type. We use this
tendency in the hope to guide each
learner in his\her learning path.
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