期刊名称：International Journal of Advanced Computer Science and Applications(IJACSA)
印刷版ISSN：2158-107X
电子版ISSN：2156-5570
出版年度：2019
卷号：10
期号：10
页码：426-436
出版社：Science and Information Society (SAI)
摘要：After conducting the historical review and establishing
the state of the art, the authors of this paper focus on the
incorporation of Project Based Learning (PBL), in an adaptive eLearning
environment, a novel and emerging perspective, which
allows the application of what today constitutes one of the
most effective strategies for the process of teaching learning. In
PBL, each project is defined as a complex task or problem of
reality, for which resolution, the student must develop research
activities, planning, design, development, validation, testing, etc.
For the proposal of the Hybrid Architecture of the e-Learning
system model, the authors use artificial intelligence techniques,
which make it possible to identify the Learning Styles (LS), with
the purpose of automatically assigning the projects, according
to the characteristics, interests, expectations and demands of
the student, who will interact with an e-Learning environment,
with a high capacity of adaptation to each individual. Finally,
the conclusions and recommendations of the research work are
established.
关键词：Adaptative e;Learning; Project Based Learning
(PBL); intelligent agents; back propagation neural networks; fuzzy
logic; case base reasoning
