曼谷都市行政学校教师动机与士气影响效能

Juladis Khanthap
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In the last phase, the researcher conducted in-depth interviews with seven experts selected through purposive sampling to gather their perspectives on the applicability, possibility, and usefulness of the the guidelines for enhancing teacher motivation and morale in relation to school effectiveness. The data was analyzed using a content analysis method. According to the findings, the multiple correlation coefficient was .760 (R = 0.760 at the .05 level of significance. The predictive coefficient or predictive power of 57.7 percent (R2 = 0.577), with the regression coefficient () arranged in descending order: 1) Professional Success (β=0.321) 2) Career Growth (β=0.238) 3) School Policies (β=0.162) 4) Workplace atmosphere and environment (β=0.102) 5) Governance Aspects (β=.096). 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引用次数: 0

摘要

本研究旨在探讨曼谷都市行政学校的教师动机与士气、学校效能、影响学校效能的教师动机与士气因素之间的关系,以及制定提高教师动机与士气与学校效能相关的指导方针。在这项研究中,研究人员采用了混合研究方法。在初始阶段,使用问卷调查来收集数据。人口中包括2022年履职的曼谷市厅学校教师。采用多阶段随机抽样,共选取375人。采用均值、百分比和标准差进行描述性统计。在最后阶段,研究者通过有目的的抽样对七位专家进行了深入的访谈,以收集他们对指导方针的适用性、可能性和有用性的看法,以提高教师的动机和士气与学校的有效性。采用内容分析法对数据进行分析。结果显示,多重相关系数为0.760 (R = 0.760,显著性水平为0.05)。预测系数或预测能力为57.7% (R2 = 0.577),回归系数()由高到低依次排列:1)职业成功(β=0.321) 2)职业发展(β=0.238) 3)学校政策(β=0.162) 4)工作氛围和环境(β=0.102) 5)治理方面(β= 0.096)。利用原始分数(b)和标准分数()中预测因子的回归系数,可以得到预测方程如下:在原始分数(unstandardized分数)形式,预测方程Y ' = 1.391 + 0.255 (x 6) 0.183 (0.124 x 10 x 10) (x 5 (x 5) 0.050 (2 x 3 (x 3) 0.075 (x (x 2)标准化分数预测方程Zy = 0.321 (x 6) + 0.238 (x 10) + 0.162 (x 5) + 0.102 (x 3) + 0.096 (x 2)。研究人员还设计了一个指导方针包含19建议加强前五名老师的动机和士气因素影响学校效能。提高教师士气的19条指导方针影响着学校的效率。
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Teacher Motivation and Morale Influencing the Effectiveness of Bangkok Metropolitan Administration Schools
This study aimed to examine the teacher motivation and morale in Bangkok Metropolitan Administration schools, the school effectiveness, the relationship between the factors of teacher motivation and morale in performing their jobs that influence school effectiveness, and the development of guidelines for enhancing teacher motivation and morale in relation to school effectiveness. In the study, the researcher employed a mixed research methodology. In the initial phase, questionnaires were used to collect data. The population consisted of Bangkok Metropolitan Administration school teachers who served their duty in 2022. A multistage random sampling selected 375 persons in total. Mean, percentage, and standard deviation were applied as descriptive statistics. In the last phase, the researcher conducted in-depth interviews with seven experts selected through purposive sampling to gather their perspectives on the applicability, possibility, and usefulness of the the guidelines for enhancing teacher motivation and morale in relation to school effectiveness. The data was analyzed using a content analysis method. According to the findings, the multiple correlation coefficient was .760 (R = 0.760 at the .05 level of significance. The predictive coefficient or predictive power of 57.7 percent (R2 = 0.577), with the regression coefficient () arranged in descending order: 1) Professional Success (β=0.321) 2) Career Growth (β=0.238) 3) School Policies (β=0.162) 4) Workplace atmosphere and environment (β=0.102) 5) Governance Aspects (β=.096). The forecast equations can be generated using the regression coefficients of the predictors in raw score (b) and standard score () as follows: In raw score (unstandardized score) form, the forecast equation is Y' = 1.391 + 0.255 (x 6 )0.183 (x 10 x 10) 0.124 (x 5 (x 5 )0.050 (x 3 (x 3 )0.075 (x 2 (x 2). Standardized score forecast equations Zy = 0.321 (x 6) + 0.238 (x 10) + 0.162 (x 5) + 0.102 (x 3) + 0.096 (x 2). The researcher also devised a guideline containing nineteen recommendations for enhancing the top five teacher motivation and morale factors that influence school effectiveness. There are 19 guidelines for improving teacher morale, which affects school effectiveness.
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