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：11
页码：697-704
出版社：Science and Information Society (SAI)
摘要：The use of the project-based learning approach is
one of the emerging trends in education and Adaptive e-Learning
platforms. One of the main challenges in this line of research
is to identify the learning style of students, whose results are
considered in this work, for the assignment of course projects
which best suit the characteristics of each student in particular
as they incorporate different types of learning strategies and
objects in order to contribute to facilitate and simplify the
teaching/learning process of the adaptive e-Learning platform,
which uses the project-based learning approach. In this work,
after carrying out a review of the literature for the theoretical
foundation and establishment of the state of Art, a line module
of automatic recognition of learning styles is proposed, which
uses the information of the interaction of the student with the
system and the one that is based on Neural Networks and Fuzzy
Logic, whose results are considered by the module of selection and
assignment of projects that uses the Case Base Reasoning, later
carrying out the tests and the analysis of the results obtained.
关键词：Adaptive e-Learning; project based collaborative
learning; case-based reasoning; learning styles; back propagation
neural networks
