Teacher Work Motivation in the Post-COVID-19 Era: A Descriptive Study at Vocational High Schools in East Padang in Support of SDG 4 (Quality Education)

Syahril Syahril; Ahmad  Sabandi; Sulastri Sulastri

doi:10.63230/jocsis.3.3.200

Authors

Syahril Syahril Universitas Negeri Padang Author
Ahmad Sabandi Universitas Negeri Padang Author
Sulastri Sulastri Universitas Negeri Padang Author

DOI:

https://doi.org/10.63230/jocsis.3.3.200

Keywords:

COVID-19 Recovery, Descriptive Study, Educational Quality, Teacher Motivation, Vocational High School

Abstract

Objective: To analyze the level of teachers' work motivation after the COVID-19 pandemic in vocational high schools in East Padang and to examine its implications for improving educational quality. The findings are expected to provide evidence-based recommendations for strengthening teacher motivation as an essential component in achieving Sustainable Development Goal (SDG) 4: Quality Education. Method: A descriptive quantitative research design. Data were collected using a structured questionnaire distributed to teachers at vocational high schools in East Padang. The collected data were analyzed using descriptive statistical techniques to determine the level of teachers' work motivation based on several motivational indicators. Results: The findings indicate that the overall level of teachers' work motivation reached an achievement score of 78%, which falls within the fairly high category. Responsibility, perseverance, independence, and work enthusiasm contributed positively to teachers' motivation; however, several aspects still require improvement. The study also highlights the important role of school principals in enhancing teachers' motivation through supportive leadership, adequate facilities, and appropriate incentive systems. Strengthening teachers' motivation is expected to improve teaching quality and student learning outcomes, thereby supporting the realization of inclusive and quality education. Novelty: The study provides recent empirical evidence regarding teachers' work motivation in the post-COVID-19 educational context at vocational high schools in Indonesia. Unlike previous studies that primarily examined teacher motivation before or during the pandemic, this research specifically focuses on post-pandemic conditions and emphasizes the importance of school leadership in sustaining teacher motivation. Furthermore, the study links teacher motivation with the achievement of SDG 4, highlighting its contribution to improving educational quality and promoting sustainable educational development.

References

Ahmad, S. (2021). Motivation and performance: A psychological process. International Journal of Business and Management Research, 9(2), 104–112. https://doi.org/10.37391/IJBMR.090201

Ahmad, S., Wasim, S., Irfan, S., Gogoi, S., Srivastava, A., & Farheen, Z. (2019). Qualitative v/s. quantitative research—A summarized review. Journal of Evidence Based Medicine and Healthcare, 6(43), 2828–2832. https://doi.org/10.18410/jebmh/2019/587

Darazha, I., Lyazzat, R., Ulzharkyn, A., Saira, Z., & Manat, Z. (2021). Digital competence of a teacher in a pandemic. In 2021 9th International Conference on Information and Education Technology (ICIET), 324–328. IEEE. https://doi.org/10.1109/ICIET51873.2021.9419644

Darling-Hammond, L. (2000). Teacher quality and student achievement: A review of state policy evidence. Education Policy Analysis Archives, 8(1), 1–44. https://doi.org/10.14507/epaa.v8n1.2000

Dorgu, T. E. (2015). Different teaching methods: A panacea for effective curriculum implementation in the classroom. International Journal of Secondary Education, 3(6-1), 77–87. https://doi.org/10.11648/j.ijsedu.s.2015030601.13

Dwivedi, Y. K., Hughes, D. L., Coombs, C., Constantiou, I., Duan, Y., Edwards, J. S., Gupta, B., Lal, B., Misra, S., Prashant, P., Raman, R., Rana, N. P., Sharma, S. K., & Upadhyay, N. (2020). Impact of COVID-19 pandemic on information management research and practice: Transforming education, work and life. International Journal of Information Management, 55, 102211. https://doi.org/10.1016/j.ijinfomgt.2020.102211

Elo, S., & Kyngäs, H. (2008). The qualitative content analysis process. Journal of Advanced Nursing, 62(1), 107–115. https://doi.org/10.1111/j.1365-2648.2007.04569.x

Collie, R. J., Shapka, J. D., & Perry, N. E. (2012). School climate and social–emotional learning: Predicting teacher stress, job satisfaction, and teaching efficacy. Journal of Educational Psychology, 104(4), 1189–1204. https://doi.org/10.1037/a0029356

Gouëdard, P., Pont, B., & Viennet, R. (2020). Education responses to COVID-19: Implementing a way forward (OECD Education Working Papers No. 224). OECD Publishing. https://doi.org/10.1787/8e95f977-en

Harmban, Arafat, Y., & Puspita, Y. (2021). The effect of leadership and work culture on discipline of elementary school teachers. In Proceedings of the International Conference on Education Universitas PGRI Palembang (INCoEPP 2021) (565), 287–290). Atlantis Press. https://doi.org/10.2991/assehr.k.210716.053

Heale, R., & Twycross, A. (2015). Validity and reliability in quantitative studies. Evidence-Based Nursing, 18(3), 66–67. https://doi.org/10.1136/eb-2015-102129

Kim, L. E., & Asbury, K. (2020). "Like a rug had been pulled from under you": The impact of COVID-19 on teachers in England during the first six weeks of the UK lockdown. British Journal of Educational Psychology, 90(4), 1062–1083. https://doi.org/10.1111/bjep.12381

Kunter, M., Klusmann, U., Baumert, J., Richter, D., Voss, T., & Hachfeld, A. (2013). Professional competence of teachers: Effects on instructional quality and student development. Journal of Educational Psychology, 105(3), 805–820. https://doi.org/10.1037/a0032583

Klassen, R. M., & Tze, V. M. C. (2014). Teachers' self-efficacy, personality, and teaching effectiveness: A meta-analysis. Educational Research Review, 12, 59–76. https://doi.org/10.1016/j.edurev.2014.06.001

Lackéus, M. (2020). Comparing the impact of three different experiential approaches to entrepreneurship in education. International Journal of Entrepreneurial Behavior & Research, 26(5), 937–971. https://doi.org/10.1108/IJEBR-04-2018-0236

Licorish, S. A., Owen, H. E., Daniel, B., & George, J. L. (2018). Students’ perception of Kahoot!’s influence on teaching and learning. Research and Practice in Technology Enhanced Learning, 13(1), Article 9. https://doi.org/10.1186/s41039-018-0078-8

Maryani, Y., Entang, M., & Tukiran, M. (2021). The relationship between work motivation, work discipline and employee performance at the Regional Secretariat of Bogor City. International Journal of Social and Management Studies, 2(2), 1–16. https://doi.org/10.5555/ijosmas.v2i2.14

Mincu, M. E. (2015). Teacher quality and school improvement: What is the role of research? Oxford Review of Education, 41(2), 253–269. https://doi.org/10.1080/03054985.2015.1023013

Nassaji, H. (2015). Qualitative and descriptive research: Data type versus data analysis. Language Teaching Research, 19(2), 129–132. https://doi.org/10.1177/1362168815572747

O’Brien, B. C., Harris, I. B., Beckman, T. J., Reed, D. A., & Cook, D. A. (2014). Standards for reporting qualitative research: A synthesis of recommendations. Academic Medicine, 89(9), 1245–1251. https://doi.org/10.1097/ACM.0000000000000388

Purnama, N., Hasan, M., & Syukri, M. (2020). Implementing chemo-entrepreneurship-based inquiry learning on the acid-base concept to increase science process skills and students’ interest in entrepreneurship. Journal of Physics: Conference Series, 1460(1), 012098. https://doi.org/10.1088/1742-6596/1460/1/012098

Pressley, T. (2021). Factors contributing to teacher burnout during COVID-19. Educational Researcher, 50(5), 325–327. https://doi.org/10.3102/0013189X211004138

Rahman, A., Nasution, L., & Rahmat, M. (2021). Factors that affected the performance of elementary school supervisors in Medan. In The 1st Virtual Conference on Social Science in Law, Political Issue and Economic Development (VCOSPILED 2020) (pp. 377–382). Sciendo. https://doi.org/10.2478/9788366675377-050

Ritchie, M. E., Phipson, B., Wu, D., Hu, Y., Law, C. W., Shi, W., & Smyth, G. K. (2015). limma powers differential expression analyses for RNA-sequencing and microarray studies. Nucleic Acids Research, 43(7), e47. https://doi.org/10.1093/nar/gkv007

Sverdlik, A., Hall, N. C., McAlpine, L., & Hubbard, K. (2018). The PhD experience: A review of the factors influencing doctoral students’ completion, achievement, and well-being. International Journal of Doctoral Studies, 13, 361–388. https://doi.org/10.28945/4113

Tennant, R., Hiller, L., Fishwick, R., Platt, S., Joseph, S., Weich, S., Parkinson, J., Secker, J., & Stewart-Brown, S. (2007). The Warwick–Edinburgh Mental Well-being Scale (WEMWBS): Development and UK validation. Health and Quality of Life Outcomes, 5(1), 63. https://doi.org/10.1186/1477-7525-5-63

Tilak, J. B. G., & Kumar, A. G. (2022). Policy changes in global higher education: What lessons do we learn from the COVID-19 pandemic? Higher Education Policy, 35(3), 610–628. https://doi.org/10.1057/s41307-022-00266-0

Tlili, A., Huang, R., Shehata, B., Liu, D., Zhao, J., Metwally, A. H. S., Wang, H., Denden, M., Bozkurt, A., Lee, L.-H., Beyoglu, D., Altinay, F., Sharma, R. C., Altinay, Z., Li, Z., Liu, J., Ahmad, Burgos, D. (2022). Is metaverse in education a blessing or a curse? A combined content and bibliometric analysis. Smart Learning Environments, 9(1), 24. https://doi.org/10.1186/s40561-022-00205-x

Wartulas, S., Sugiyo, Sudana, I. M., & Suminar, T. (2022). Determinant factors of lecturer performance at the residence of Pekalongan. Central Asia and the Caucasus, 23(2), 85–105. https://doi.org/10.37178/ca-c.23.2.009

Wei, L. (2023). Artificial intelligence in language instruction: Impact on English learning achievement, L2 motivation, and self-regulated learning. Frontiers in Psychology, 14, 1261955. https://doi.org/10.3389/fpsyg.2023.1261955