Guidelines for Internal Supervision in Private Schools in Nonthaburi Province under the Office of Nonthaburi Provincial Education

Abstract

This research aimed to 1) examine the level of internal supervision practices among teachers in private schools under the Nonthaburi Provincial Education Office; 2) compare internal supervision practices based on teachers’ years of work experience; and 3) investigate the internal supervision guidelines for teachers in private schools in Nonthaburi Province. The sample consisted of 59 schools, determined using Krejcie and Morgan’s sample size table. In-depth interviews were conducted with five purposively selected educational experts—school administrators from schools with national O-NET scores above the national average. Research instruments included a questionnaire and a semi-structured interview form. Data were analysed using frequency, percentage, mean, and standard deviation, with hypothesis testing conducted via t-test. Qualitative data were analysed using content analysis. The findings revealed the following 1)The overall level of internal supervision practices among teachers in private schools under the Nonthaburi Provincial Education Office was high. The highest mean score was found in supervision planning, followed by evaluation and reporting. The lowest, though still high, was in the area of situational analysis for learning development. 2) There was no statistically significant difference in teachers' perceptions of internal supervision based on years of work experience, whether less than 10 years or 10 years and above. 3) The proposed guidelines for internal supervision in private schools include utilising data from multiple sources for system-based and context-based situation analysis; engaging teachers in collaborative problem analysis, goal setting, and strategy formulation; organising academic forums for professional learning; continuously developing and updating supervision tools; and promoting collaborative learning through PLC and reflective meetings. Evaluation should synthesise both qualitative and quantitative data, with results reported systematically to inform further improvement.