This study examines pre-service teachers’ academic stress in relation to selected demographic variables, such as locality and marital status. A descriptive survey method was used to collect relevant information from pre-service teachers (who are enrolled in D.El.Ed. and B.Ed. courses). A sample of 271 students from various public and private institutions in Varanasi (Kashi), Uttar Pradesh (UP), was collected through a stratified random selection method. Data from respondents was collected using the researcher-developed Academic Stress Scale (for pre-service teachers). The results showed that locality and marital status did not significantly affect the academic stress of pre-service teachers. students. Thus, it is inferred that academic stress among pre-service teachers is mainly related to the academic structure and demands of the teacher training programme rather than demographic factors such as residential background or marital status. Henceforth, it is recommended that teacher training institutions organise inclusive curricular programmes so that all students can manage their academic responsibilities more efficiently.
• Dixit, A.K. and Neeta, G (2017). A Study on Academic Stress Among B.T.C. Students of Ghaziabad District of Uttar Pradesh. International Journal of Research in Business Management, 5(5), 73-78.
• Doane, D. P., & Seward, L. E. (2011). Measuring skewness: A forgotten statistic? Journal of Statistics Education, 19(2), 01-18.
• Erkutlu, H.V. and Chafra, J. (2006) Relationship between Leadership Power Base and Job Stress of Subordinates Example from Boutique Hotels. Management Research News, 29, 285-297. https://doi.org/10.1108/01409170610674419
• Fairbrother K, & Warn, J. (2003). Workplace Dimensions, Stress and Job Satisfaction, J. Managerial Psychol. 18(1): 8-21.
• Gayen. M., & Lakhotia. C. (2021). A study on the influence of marital status on occupational stress among private bank employees. The International Journal of Indian Psychology, 09(1).
DOI: https://doi.org/10.25215/0901.131
• Garrett, H. E. (2009). Statistics in psychology and education. New Delhi: Paragon International Publishers.
• Ghasemi, A., & Zahediasl, S. (2012). Normality tests for statistical analysis: A guide for non- statisticians. International Journal of Endocrinology and Metabolism, 10(2), Lee, M., & Larson, R.(2000). The Korean „examination hell‟: Long hours of studying, distress, and depression. Journal of Youth and Adolescence, 29(2), 249-271.
• Kumari, A. & Singh, S.K. (2022). Academic Stress of Senior Secondary School Students in Relation to Their Gender, Type of School and Stream. Kala Sarovar (UGC Care Group- I Journal). 25(04). 61-66.
• Meenatchi et al. (2025). A study on Academic stress among secondary school students and their learning interest. Shanlax international journal of education,14(1), 80-92. 486-489. http://doi.org/10.5812/ijem.3505
• Martínez et al., (2021). Analysis of the pre-service teachers’ academic stress based on their self-concept and personality. Education Sciences, 11(11), 659. https://doi.org/10.3390/educsci11110659
• Prabu, P. (2015). A Study on Academic Stress among Higher Secondary Students. International Journal of Humanities and Social Science Invention, 4(10), 63-68.
• Punia, V., & Devi, P. (2018). An Exploration of Perceived Stress among Prospective Teachers in relation to their Locality and Academic Streams. Emerging Trends in Social Sciences, 7(25), 118-127.
• Sagar, P. & Singh, B. (2017). A Study of Academic Stress Among Higher Secondary School Students. International Journal of Creative Research Thoughts, 5(4), 1864-1869.
• Shakila. J. (2023). A Study on Academic Stress and Adjustment Among B.Ed. Teacher Trainees in West Godavari District of Andhra Pradesh. International Journal of Humanities and Social Science Invention (IJHSSI),12(10), 108-116.
Brijesh Kumar Sing h & Dr. Pushpa Devi
293-300
10.5281/zenodo.19104399
Never miss any important news. Subscribe to our newsletter.