نویسنده
پژوهشگاه علوم و تکنولوژی پیشرفته و علوم محیطی دانشگاه تحصیلات تکمیلی صنعتی و فناوری پیشرفته
چکیده
کلیدواژهها
عنوان مقاله [English]
نویسنده [English]
One of the main research areas is providing adaptive
learning systems with new style for content delivery to users. Content
delivery subsystem manages and selects the appropriate contents
based on the user model. In order to realize the adaption and
personalization, selecting approach should consider the learning
capabilities and background knowledge of the learners. Therefore an
optimization problem is defined and the system must optimize the
difference between the learning capabilities and the learning style of
the learner with the difficulty level and the presentation style of the
delivered contents. This paper has focused on two aspects. In the
problem modeling section, the previous defined model has been
extended. The presented model has also considered the adaption
between the learning style of the learner and the presentation style of
the delivered contents. In problem solving section, this paper has
applied two newer optimization algorithms, NBPSO and GSA, thus
resulting in producing better answers (more appropriate and more
adaptive selection of content). Also, according to the previous
approaches, the problem has implemented and solved using PSO. The
provided results of three algorithms have been evaluated using two
well-known criteria: accuracy (aiming to measure optimality of the
delivered answer) and stability (to ensure of getting answer in
different performances). The results showed considerable progress
(more personalized and adaptive contents).
کلیدواژهها [English]
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