Students and teachers in professional courses experience high levels of stress from personal, environmental, and institutional factors. The study used Induced Linked Fuzzy Relational Mapping (ILFRM) analysis to examine the stress levels of both students and teachers. For students, stress comes from feeling like knowledge boxes that fail to value their own education, while teachers face demands like deadlines and responsibilities in addition to teaching specialized courses.
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A Study on Stress Experienced By Students and Teachers in Professional Courses using Induced Linked Fuzzy Relational Mapping (ILFRM) Analysis
1. International Journal of Computing Algorithm, Vol 2(1), June 2013
ISSN(Print):2278-2397
Website: www.ijcoa.com
A Study on Stress Experienced by Students and
Teachers in Professional Courses using Induced
Linked Fuzzy Relational Mapping (ILFRM)
Analysis
J.Jesintha Rosline1
, T. Pathinathan2
1 2
Department of Mathematics, Loyola College, Chennai
E-mail: jesi.simple@gmail.com
Abstract
The students belonging to professional courses are subjected to stress due to personal,
environmental and institutional factors. In this education system students became a
knowledge box and they fail to value their education. On the other end, the teaching has also
become a demanding occupation with undue stress like deadlines to meet, responsibilities to
shoulder besides teaching their specialized courses. The paper aims to study the stress levels
of both the students and the teachers in professional education using Induced Linked Fuzzy
Relational Mapping (ILFRM).