Prospective Teachers’ Attitude towards the Teaching Profession in District Kangra: An Analysis of Gender and Stream

This study explores the prospective teacher’s attitude towards the teaching profession, focusing on differences based on gender and academic stream in District Kangra. A structured survey was conducted over three months, involving 200 prospective teachers from private colleges in the district. The results indicate that female prospective teachers generally hold a more positive outlook toward teaching compared to their male counterparts. Additionally, prospective teachers from the arts stream display greater enthusiasm for the profession than those from the science stream. These findings highlight important trends in teacher motivation and career perception. Understanding these attitudes is crucial, as teachers play a fundamental role in shaping the education system. If certain groups exhibit lower enthusiasm for the profession, it may impact their long-term commitment and effectiveness as educators. Therefore, teacher education programs must address these variations by implementing targeted strategies to enhance positive perceptions of teaching. To strengthen motivation, teacher training institutions can introduce mentorship programs, career awareness initiatives, and interactive pedagogical approaches that make teaching more engaging and fulfilling. Encouraging male trainees and science stream students to explore the rewarding aspects of the profession could improve overall attitudes. By identifying these differences in perception, this study provides insights that can inform policy decisions and educational reforms, ultimately helping to build a committed and enthusiastic teaching workforce for the future.

Authors

Publication Details

Published
2025-04-14
DOI
https://doi.org/10.38124/ijisrt/25apr212
Primary Topic
Teacher Professional Development and Motivation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Prospective Teachers’ Attitude towards the Teaching Profession in District Kangra: An Analysis of Gender and Stream

Shashi Kant Sharma
Teacher Professional Development and Motivation
article

Prospective Teachers’ Attitude towards the Teaching Profession in District Kangra: An Analysis of Gender and Stream

Shashi Kant Sharma
article en

Abstract

This study explores the prospective teacher’s attitude towards the teaching profession, focusing on differences based on gender and academic stream in District Kangra. A structured survey was conducted over three months, involving 200 prospective teachers from private colleges in the district. The results indicate that female prospective teachers generally hold a more positive outlook toward teaching compared to their male counterparts. Additionally, prospective teachers from the arts stream display greater enthusiasm for the profession than those from the science stream. These findings highlight important trends in teacher motivation and career perception. Understanding these attitudes is crucial, as teachers play a fundamental role in shaping the education system. If certain groups exhibit lower enthusiasm for the profession, it may impact their long-term commitment and effectiveness as educators. Therefore, teacher education programs must address these variations by implementing targeted strategies to enhance positive perceptions of teaching. To strengthen motivation, teacher training institutions can introduce mentorship programs, career awareness initiatives, and interactive pedagogical approaches that make teaching more engaging and fulfilling. Encouraging male trainees and science stream students to explore the rewarding aspects of the profession could improve overall attitudes. By identifying these differences in perception, this study provides insights that can inform policy decisions and educational reforms, ultimately helping to build a committed and enthusiastic teaching workforce for the future.

Openalex Percentile: Top 93%
Teacher Professional Development and Motivation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.