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Educational guidance process integrating opinion mining
Author(s) -
Lazib Samia,
BouarabDahmani Farida,
Haddadi Lynda
Publication year - 2019
Publication title -
computer applications in engineering education
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.478
H-Index - 29
eISSN - 1099-0542
pISSN - 1061-3773
DOI - 10.1002/cae.22142
Subject(s) - sort , orientation (vector space) , process (computing) , field (mathematics) , order (exchange) , mathematics education , sample (material) , politics , computer science , biology and political orientation , psychology , political science , mathematics , information retrieval , law , business , chemistry , geometry , finance , chromatography , pure mathematics , operating system
Opinion mining is a fast‐developing field of study with numerous applications. It raises economic and political interests, especially in decision‐making processes. In this paper, we are interested in educational opinion mining. We propose an educational guidance process that aims to improve university orientation after the secondary school cycle. Unlike the ordinary orientation processes, our process integrates the opinions of pupil, parents, and teachers, collected periodically. These opinions are treated to sort out the studies’ domains in a positive polarity order. An orientation score is then calculated based on these opinions, the student's aptitudes and the continuous evaluation marks to guide pupils toward the most favourable discipline. The experimentations conducted on a sample of pupils (300) give a better convergence to the pupils’ explicit choices using our proposal with a κ coefficient of 0.71, against 0.29 using only marks.