Abstract: The study aims to empirically test the relationship between types of campus adaptations across social category of caste among engineering undergraduate B. Tech students pursuing a four-year study at Indian Institute of Technology (IIT’s) and National Institute of Technology (NIT’s) in India.
Method: - The Multivariate Analysis of Variance (Manova) test was run with SPSS vs. 21 to compare the student’s campus adaptations of IIT’s and NIT’s by student’s academic year level. Multistage random sampling with n = 1420 students were selected comprising of Multistage random sampling with n = 1420 students were selected comprising of general category of students (n = 924), scheduled caste students (n = 94), scheduled tribe students (n = 50) , other backward class students (n = 255) and (n =97) of students who did not associate themselves to any of the social category of caste.
Result: - In academic adaptation, general category and scheduled caste students had positive outcomes with negative outcomes in scheduled tribe and other backward classes. In Social Adaptation, scheduled caste and other backward classes had positive outcomes with general category and scheduled tribe category having negative outcomes. In physical – psychological adaptation, only general category of students had positive outcomes with negative outcomes in scheduled caste, scheduled tribe and other backward class. Finally, at institutional adaptation, only other backward classes had positive adaptation with general category, scheduled caste and scheduled tribe category having negative outcomes.
Conclusion: - Campus adaptations do vary across social category of caste influencing student’s experiences at IIT’s and NIT’s.
Keywords: academic, social, physical – psychological, institutional campus adaptation, race, social class.
Title: CAMPUS ADAPTATIONS OF ENGINEERING UNDERGRADUATES BY SOCIAL CATEGORY OF CASTE
Author: Dr.Vijayalakshmi N.S, Dr. A.H.Sequeira
International Journal of Interdisciplinary Research and Innovations
ISSN 2348-1218 (print), ISSN 2348-1226 (online)
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