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：550-556
出版社：Science and Information Society (SAI)
摘要：The educational and professional orientation is an
essential phase for each student to succeed in his life and his
curriculum. In this context, it is very important to take into
account the interests, occupations, skills, and the type of each
student's personalities to make the right choice of training and to
build a solid professional outline. This article deals with the
problematic of educational and vocational orientation and we
have developed a model for automatic classification of
orientation questions. “E-Orientation Data” is a machine
learning method based on John L. Holland’s Theory of RIASEC
typology that uses a multiclass neural network algorithm. This
model allows us to classify the questions of academic and
professional orientation according to their four categories, thus
allows automatic generation of questions in this area. This model
can serve E-Orientation practitioners and researchers for further
research as the algorithm gives us good results.
关键词：Academic and vocational guidance; multiclass
neural network; e;orientation; machine learning; Holland’s theory
