Affecting Teachers' Performance and Effectiveness in Public Secondary Schools in Agusan Del Sur, Division, Philippines: Determinant Factors Inquiry
Peter Pama
Discipline: Education
Abstract:
The teacher is the most important component in the teaching-learning process as well as the most significant
influence at the school. The aim of the study was to evaluate the teachers’ performance and their effectiveness in
the classroom setting by adhering to the determinant factors. The study was conducted last academic year,
2021–2022, during the outbreak of COVID-19 at randomly selected public secondary schools in Agusan del
Sur, Philippines. The study has employed a quantitative research method with a descriptive correlational design.
This study had a total population of 100 teacher- respondents from the five (5) chosen schools. Slovin's formula
was used to calculate the sample size, which had a 0.05% error margin. A stratified random selection was
utilized to distribute the respondents evenly throughout the teachers' areas. The researcher employed a
descriptive-survey questionnaire to collect the data required for the said investigation, following the main
purpose of the study to evaluate the teachers’ performance and their effectiveness in the classroom setting by
adhering to the essential factors. The statistical tools that have been utilized in the study are descriptive and
inferential statistics. The results of a correlational analysis had an associated probability of a p-value equal to
0.000, a value that was much lower than the alpha value of 0.05. As a result, the findings highlight the
determinant factors that influence teaching performance and have a significant impact on teachers' performance.
As a result, it is critical for every school to retain its qualified teaching staff
References:
- Allensworth, E., Ponisciak, S., & Mazzeo, C. (2009). The schools’ teachers leave: Teacher mobility in Chicago Public Schools. Chicago: Consortium on Chicago School Research. Retrieved July 10, 2010, from http://ccsr.uchicago.edu/publications/CCSR_ Teacher_Mobility.pdf
- Abarro, J. O. (2016). Factors affecting career track and strand choices of grade 9 students in the Division of Antipolo and Rizal, Philippines. Humanities, 79(10.38), 6.
- Adanza, E. G., Pedrito Jose, U. B., & Marietta, B. R. (2009). Methods of research: A primer. Manila, Philippines: Rex Book Store.
- Akram, M. J. (2010). Factors Affecting The Performance Of Teachers At Higher Secondary Level In Punjab. University Institute of Education and Research Pir Mehr Ali Shah Arid Agriculture University Rawalpindi, Pakistan.
- Amoroso, E. T., Dacoco, E. P., Tajos, C. P., Enguio, L. A., Francisco, J. G., Saro, J.M. (2022). Teacher’s Perceptions, Effectiveness, Administrative Issues, and School Challenges During the COVID-19 Epidemic: An Educational Sustainability. Psychology and Education: A Multidisciplinary Journal, 6, 1022-1027., doi: 10.5281/zenodo.7408619
- Boyd, D., Grossman, P., Ing, M., Lankford, H., & Wyckoff, J. (2011). The influence of school administrators on teacher retention decisions. American Educational Research Journal, 48(2), 303-333
- Brooks, D.C., Grajek, S., Lang, L., 2020. Institutional readiness to adopt fully remote learning. Educ. Rev.
- Burns, G. (2016). Relationships of surveillance, assurance, and recognition: Early career primary teachers' engagement with discourses of accountability and performance. Irish Educational Studies, 35(3), 269- 288.
- Evans, C.M., Reagan, E. M., Schram, T., McCurdy, K., & Chang, T. H.(2016). Politics of policy: Assessing the implementation, impact, and evolution of the Performance Assessment for California Teachers (PACT) and edTPA. education policy analysis archives, 24, 9
- Fraenkel, J. & Wallen, N. (2006). How to design and evaluate research in education (6th ed.). New York, NY: McGraw-Hill.
- Liu, X. S. (2017). The effect of teacher influence at school on firstyear teacher attrition: a multilevel analysis of the schools and staffing survey for 1999-2000. Educational Research and Evaluation, 13(1), 1-16.
- Leithwood, K., & Jantzi, D. (2006). Transformational school leadership for largescale reform: effects on students, teachers, and their classroom practices. School Effectiveness and School Improvement, 17(2), 201e227.
- Loeb, S., Darling-Hammond, L., & Luczak, J. (2005). How teaching conditions predict teacher turnover in California schools. Peabody Journal of Education, 80(3), 44-70.
- Mart, C. T. (2017). Student evaluations of teaching effectiveness in higher education. International Journal of Academic Research in Business and Social Sciences, 7(10), 57-61.
- Pentang, J. T., Bautista, R. M., Pizaña, A. D., & Egger, S. P. (2021). Mathematical needs of Laura Vicuña learners. Western Philippines University Graduate Journal, 5(1), 78- 82.
- Saro, J., Cuasito, R., Doliguez, Z., Maglinte, F., Pableo, R., (2022). Teaching Competencies and Coping Mechanisms among the Selected Public Primary and Secondary Schools in Agusan del Sur Division: Teachers in the New Normal Education. Psychology and Education: A Multidisciplinary Journal, 3(10), 969-974.
- Shah, R. A., and C.B. Sultana. 1999-2000. Grassroots Biannual research journal. Pakistan study center. (22). 72-78.
- Smith, D. K. & Katzenbach, J. R. (2015). The wisdom of teams: Creating the high-performance organization. Harvard Business Review Press
- Tehseen, S. & Hadi, N. U. (2015). Factors Influencing Teachers’ Performance and Retention. Mediterranean Journal of Social Sciences MCSER Publishing, Rome-Italy. Vol 6 No 1 January 2015. Doi:10.5901/mjss.2015.v6n1p233
- Wangui, M. F., Ombui, K., & Iravo, M. (2016). Effects of workrelated stress on teachers’ performance in public secondary schools in Kikuyu sub county, Kenya. International Journal of Science and Research, 5(5), 1645-1652