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ural behaviour, allowing real tutors to use their expe-
rience to define the agent’s reactions in different cir-
cumstances.
The Evaluation Module described in this work is
still being developed. The main goal of this module is
to turn the animated agent into an autonomous agent
that needs no exterior intervention to respond to stu-
dents’ interaction in real-time.
The modules of this work have been developed
following a Model-View-Controller coding pattern to
ease the integration with the selected e-learning plat-
form. IAAN has been successfully integrated into
Moodle, though only partially functional as the Eval-
uation Module is still under development.
The Animation Engine introduced in this work is
constantly improved to suit new needs. The final goal
is to develop an animation engine capable of repro-
ducing human behaviour as realistic as possible.
A synchronization module is being developed in
order to optimize the communication between IAAN
and Moodle. Furthermore, we are studying other
LMS in order to develop a general synchronization
module turning IAAN into a multiplatform assistant.
Finally, we are defining the validation phase to test
the work presented in this paper with real students in
order to confirm IAAN’s positive effect. The results
of these evaluations will verify whether IAAN’s natu-
ral behaviour and real-time emotional response has a
beneficial effect on the students learning engagement
and final cognitive results.
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