Influence of Quality Assurance and Standards Officers’ Classroom Observation Practices on Educational Outcomes in Public Secondary Schools in Meru County, Kenya
DOI:
https://doi.org/10.54536/ajelps.v2i2.8580Keywords:
Classroom Observation Practices, Educational Outcomes, Instructional Supervision, Meru County, Quality Assurance, Secondary EducationAbstract
This study evaluated the influence of Quality Assurance and Standards Officers’ (QASOs) classroom observation practices on educational outcomes in public secondary schools in Meru County, Kenya. Utilizing a descriptive correlational research design, the study targeted 10,202 stakeholders across public secondary schools in five sub-counties (Imenti North, Imenti South, Igembe, Tigania, and Buuri). Yamane’s formula and stratified proportionate random sampling were employed to select a sample of 385 respondents, comprising 10 QASOs via census, 15 principals, 74 Heads of Department (HODs), and 286 classroom teachers. Data were gathered using structured Likert-scale questionnaires for school staff and semi-structured interview guides for QASOs, achieving an overall response rate of 96.62% (n = 372). Statistical analysis executed via SPSS version 31 involved descriptive statistics, diagnostic evaluations, and regression models, complemented by qualitative thematic analysis. Diagnostic tests confirmed multivariate normality (D = 0.058, P = .200; W = 0.996, P = .361), absence of severe multicollinearity (VIF = 3.440), homoscedasticity (chi2 = 0.964, P = .326), and independence of errors (Durbin--Watson = 1.987). The overall multiple linear regression model accounted for 71.6% of the total variance in educational outcomes (R2 = .716, F5, 358 = 146.182, P < .001). Specifically, classroom observation practices were revealed to be a statistically significant positive predictor of educational outcomes (β= .218, t = 4.159, P < .001). Descriptive evaluations indicated moderate overall implementation of observation practices (Mean = 3.31, SD = 1.09), with strong ratings in appropriate instructional strategies (Mean = 3.53) and learner engagement (Mean = 3.49), but lower performance in communicating explicit lesson objectives (Mean = 2.93). It is concluded that direct monitoring of classroom instruction by QASOs significantly enhances educational effectiveness and student performance, emphasizing the need to transition observation from routine compliance toward developmental instructional coaching.
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References
Black, P., & Wiliam, D. (1998). Assessment and classroom learning. Assessment in Education: Principles, Policy & Practice, 5(1), 7–74. https://doi.org/10.1080/0969595980050102
Creswell, J. W., & Creswell, J. D. (2023). Research design: Qualitative, quantitative, and mixed methods approaches (6th ed.). SAGE Publications.
Darling-Hammond, L. (2021). Empowering educator performance: instructional observation and developmental feedback. Educational Evaluation and Policy Analysis.
DeVellis, R. F. (2016). Scale development: Theory and applications (4th ed.). SAGE Publications.
Fullan, M. (2020). Leading in a culture of change: Deepening instructional systems. Jossey-Bass.
Hattie, J. (2023). Visible learning: The sequel: A synthesis of over 2,100 meta-analyses relating to achievement. Routledge. https://doi.org/10.4324/9781003080787
Taber, K. S. (2018). The use of Cronbach’s alpha when developing and reporting research instruments in science education. Research in Science Education, 48(6), 1273–1296. https://doi.org/10.1007/s11165-016-9602-2
Yamane, T. (1967). Statistics: An introductory analysis (2nd ed.). Harper & Row.
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