Educational guidance process integrating opinion mining

Abstract

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. K E Y W O R D Seducational guidance, opinion mining, opinion mining for education, opinion synthesis, pupil's opinions

Virtual Voices, Real Insights: Sentiment and Topic Analysis of Discussions about Educational Dropout in YouTube comments

“…Insights from combining SA and TM can be used for strategic alignment [21,22]. Other studies show how topic modeling can support student counselling via course recommendations or identification of students at risk [23,24]. Students' satisfaction or learning difficulties can be monitored based on evaluations of online courses [17,25].…”