Factors affecting teacher motivation in public secondary schools in Marani sub county, Kisii county
Teacher motivation plays an important role in the promotion of teaching and learning excellence. Generally, motivated teachers are more likely to motivate students to learn in the classroom, to ensure the implementation of educational reforms and feelings of satisfaction and fulfillment. While teacher motivation is fundamental to the teaching and learning process, several teachers are not highly motivated. This observation should be taken seriously and an investigation into the factors influencing teacher motivation was therefore necessary to achieve the educational goals in every learning institution. The purpose of the study was to determine the factors affecting teacher motivation in public secondary schools in Marani Sub County, Kisii County. The study was guided by the following objectives: to establish the effect of job satisfaction on teacher motivation in public secondary schools, to determine the effect of reward system on the motivation of teachers, to find the effect of training and development on teacher motivation and to determine the effect of work situational factors on teacher motivation in public secondary schools in Marani Sub County. Descriptive research design was used for the study. The study targeted the principals and teachers of the public secondary schools in the district. The sub county has 16 public secondary schools. Random sampling technique was used to select teachers while purposive sampling technique was used to select the principals. Out of the 16 schools in the sub county, 2 schools were used for piloting while the remaining 14 were used in the actual study. A total of 126 respondents participated in the study (constituted 112 teachers and 14 principals). Questionnaires were used to collect data from teachers while interview schedules were used to collect data from principals. Statistical Package for Social Sciences (SPSS) was used to analyze the quantitative data where descriptive statistics such as means, standard deviation, frequencies and percentages were used to describe the data. Content analysis was used to analyze qualitative data from the interview with the principals.