Occupational Stress and Psychological Wellbeing is a Function of Virtual Teaching and Faculty Performance during Covid-19 Pandemic: An Empirical Study With Reference to Higher Academic Faculty in around Hyderabad City
Abstract
The author reports the results of an empirical study on Occupational Stress and Psychological Wellbeing on the Faculty of Higher Education, and its effect on Virtual Teaching and performance. The data gathered using google forms from the Engineering and Management faculty in and around Hyderabad Higher educational institutes. The research instrument, a structured questionnaire, completed by 400 faculty members of the Engineering and Management faculty of Higher Educational Institutes in and around Hyderabad. The data was gathered using a 5-point Likert Type scale to measure the faculty performance, occupational stress, and virtual teaching factors, whereas the psychological well-being of the faculty is measured using a 7-point scale. The response from the 7-point psychological well-being scale was converted into a 5-point Likert-type scale using linear transformations. The research instrument maintained its reliability and internal consistency as assessed by Cronbach Alpha (0.83). The logistic regression analysis indicated autonomy, the purpose of life the psychological well-being factors, and work load, remote working, role conflict are statistically significant and influencing the faculty performance and virtual teaching.
Keyword : Occupational stress. Psychological well-being, virtual teaching, Faculty, Performance
This work is licensed under a Creative Commons Attribution 4.0 International License.
References
• Abel, M. H., & Sewel, J. (1999). Stressand bumout im Tural and urban Secondary School teacherS. JOITidi d’Eicioidi Resedirch, 92-287.
• Ali, A., & Elfessi, A. (2004). Examining students’ performance and attitudes towards the use of information technology in a virtual and conventional setting. Journal of Interactive Online Learning, 2(3), 1-9.
• Borg, M. G., Riding, R. J., & Falzon, J. M. (1991). Stress in teaching: A study of occupational stress and its determinants, job satisfaction and career commitment among primary schoolteachers. Educational psychology, 11(1), 59-75.
• Boulton, C. A., Kent, C., & Williams, H. T. (2018). Virtual learning environment engagement and learning outcomes at a ‘bricks-and-mortar’university. Computers & Education, 126, 129-142.7
• Britain, S., & Liber, O. (2004). A framework for pedagogical evaluation of virtual learning environments.
• Chaplain, R. P. (1995). Stress and job satisfaction: A study of English primary school teachers. Educational psychology, 15(4), 473-489.
• Dillenbourg, P., Schneider, D., & Synteta, P. (2002, September). Virtual learning environments. In Proceedings of the 3rd Hellenic conference information & communication technologies in education (pp. 3-18).
• Dolan, V. (2011). The isolation of online adjunct faculty and its impact on their performance. International Review of Research in Open and Distributed Learning, 12(2), 62-77.
• Giddens, J., Hrabe, D., Carlson-Sabelli, L., Fogg, L., & North, S. (2012). The impact of a virtual community on student engagement and academic performance among baccalaureate nursing students. Journal of Professional Nursing, 28(5), 284-290.
• Gutshall, C. L., Hampton Jr, D. P., Sebetan, I. M., Stein, P. C., & Broxtermann, T. J. (2017). The effects of occupational stress on cognitive performance in police officers. Police Practice and Research, 18(5), 463-477.
• IBM-SPSS (2021). Transforming different Likert scales to a common scale. https://www.ibm.com/support/pages/transforming-different-likert-scales-common-scale
• Kyriacou, C. (1987). Teacher stress and burnout: An international review. Educational research, 29(2), 146-152.
• Pan, Z., Cheok, A. D., Yang, H., Zhu, J., & Shi, J. (2006). Virtual reality and mixed reality for virtual learning environments. Computers & graphics, 30(1), 20-28.
• Prasad, K. D. V., & Vaidya, R. (2020). Association among Covid-19 parameters, occupational stress and employee performance: An empirical study with reference to Agricultural Research Sector in Hyderabad Metro. Sustainable Humanosphere, 16(2), 235-253.
• Prasad, K. D. V., Vaidya, R. W., & Mangipudi, M. R. (2020). Effect of Occupational Stress and Remote Working on Psychological Wellbeing of Employees: An Empirical Study during Covid-19 Pandemic with Reference to Information Technology Industry around Hyderabad. Indian J. Commer. Manag. Stud, 2, 1-13.
• Prasad KDV, Vaidya,R., Kumar VA.(2016). A Comparative Analysis: Causes of Stress among the Employees and its Effect on the Performance at the Workplace in Agricultural Research and Information Technology Sectors.AIMA Journal of Management & Research 10 (4/4), 1-23
• Prasad, K. D. V., Vaidya, R., & Anil Kumar, V. (2015). A study on causes of stress among the employees and its effect on the employee performance at the workplace in an International Agricultural Research Institute, Hyderabad, Telangana, India. International Journal of Management Research and Business Strategy, 4(4), 68-82.
• Prasad, K. D. V., Vaidya, R., & Anil Kumar, V. (2018). Association among occupational stress factors and performance at workplace among agricultural research sector employees at hyderabad, India. Pacific Business Review International (TSI), 10(7), 27-36.
• Prasad, K. D. V., Vaidya, R., & Kumar, V. A. (2016). A Comparative Analysis: Causes of Stress among the Employees and its Effect on the Performance at the Workplace in Agricultural Research and Information Technology Sectors. AIMA Journal of Management & Research, 10(4/4), 1-23.
• Prasad, K. D. V., Vaidya, R., & Kumar, V. A. (2016). Teacher’s Performance as a Function of Occupational Stress and Coping with Reference to CBSE Affiliated School Teachers in and around Hyderabad: A Multinomial Regression Approach. Psychology, 7(13), 1700-1718.
• Prasad, KDV, Rao, M., Vaidya, D. R., & Muralidhar, B. (2020). Organizational climate, opportunities, challenges and psychological wellbeing of the remote working employees during COVID-19 pandemic: a general linear model approach with reference to information technology industry in hyderabad. International Journal of Advanced Research in Engineering and Technology (IJARET), 11(4).
• Ryff, C. D., & Keyes, C. L. M. (1995). The structure of psychological well-being revisited. Journal of Personality and Social Psychology, 69(4), 719–727.
• Ryff, C. D., Almeida, D. M., Ayanian, J. S., Carr, D. S., Cleary, P. D., Coe, C., … Williams, D. (2010). National Survey of Midlife Development in the United States (MIDUS II), 2004-2006: Documentation of psychosocial constructs and composite variables in MIDUS II Project 1. Ann Arbor, MI: Inter-university Consortium for Political and Social Research.
• Stiles, M. J. (2000). Effective learning and the virtual learning environment. In Proceedings: EUNIS 2000–Towards Virtual Universities, Instytut Informatyki Politechniki Poznanskiej.
• Whitcomb, J., Borko, H., & Liston D. (2009). Promising professional development models and practices. Journal of Teacher Education, 60(3), 207–12.
• White, C.S., Fox, R., & Isenberg, P. J. (2011). Investigating teachers’ professional learning in an advanced Master’s degree programme. European Journal of Teacher Education, 34(4), 387–405.
• Yang, D., Alsadoon, A., Prasad, P. C., Singh, A. K., & Elchouemi, A. (2018). An emotion recognition model based on facial recognition in virtual learning environment. Procedia Computer Science, 125, 2-10.