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@article{172615,
        author = {P.S.Vijay Anand},
        title = {Job Performance of Private School Teachers in Kanyakumari District: A Statistical Perspective},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {9},
        pages = {550-552},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=172615},
        abstract = {This study examines the job performance of private school teachers in Kanyakumari district, a region where private institutions play a vital role in education. The research aims to identify the factors influencing teachers' performance, measure the impact of these factors, and provide actionable recommendations for improvement. A mixed-methods approach was employed, combining quantitative and qualitative data collection methods.
A sample of 300 teachers from randomly selected private schools participated in the study through structured questionnaires, while 50 school principals provided insights through semi-structured interviews. Statistical tools such as descriptive analysis, correlation, and regression were used to analyze the data.
Key findings indicate that job performance is significantly influenced by salary, workload, and professional development opportunities. Teachers earning higher salaries reported greater job satisfaction (correlation coefficient r = 0.78), while excessive workloads and large class sizes negatively impacted performance. Only 45% of teachers had access to professional development programs, which were shown to improve student outcomes by 20%.
The study highlights challenges such as low pay, high workload, and inadequate infrastructure in private schools. It recommends increasing salaries, reducing teacher-student ratios, and investing in professional training and resources to improve teacher performance and overall educational outcomes in the district.
This research contributes to the understanding of teacher performance dynamics in the private education sector, offering data-driven insights for policymakers and school management in Kanyakumari district and beyond.},
        keywords = {Teachers, Performance, Education sector, School},
        month = {February},
        }