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Academic Performance of Students of Veterinary and Animal Sciences

S. Suganya

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03 June 2020
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Despite excellent teaching and learning resources, some students academically perform better than others, while others fare dismally poor. With this background, the present study was conducted to explore and identify the personal and institutional factors that influence the academic performance of students of veterinary and animal sciences in Tamil Nadu (India). Data were collected from 280 students of four Veterinary colleges in the State and analyzed. Analysis of data revealed that community, medium of instruction, higher secondary marks, educational stream, school location, education board, mother's secondary education, parental involvement in studies, having personal text books, difficulty in understanding topics were found to affect students' performance significantly. The logistic regression function model was fitted to predict the probability of good academic performance of sample students, which indicated that the coefficients for the variables viz., community, higher secondary marks, educational stream, school management, school location, parental involvement in studies, having personal textbooks, interest in higher studies were found to be statistically significant.

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$71.00
Ships in 5–7 business days
Hurry up! Current stock:

Academic Performance of Students of Veterinary and Animal Sciences

$71.00

Description

Despite excellent teaching and learning resources, some students academically perform better than others, while others fare dismally poor. With this background, the present study was conducted to explore and identify the personal and institutional factors that influence the academic performance of students of veterinary and animal sciences in Tamil Nadu (India). Data were collected from 280 students of four Veterinary colleges in the State and analyzed. Analysis of data revealed that community, medium of instruction, higher secondary marks, educational stream, school location, education board, mother's secondary education, parental involvement in studies, having personal text books, difficulty in understanding topics were found to affect students' performance significantly. The logistic regression function model was fitted to predict the probability of good academic performance of sample students, which indicated that the coefficients for the variables viz., community, higher secondary marks, educational stream, school management, school location, parental involvement in studies, having personal textbooks, interest in higher studies were found to be statistically significant.

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