Perceptions of public primary school teachers on the implementation of smase programme: a case of Ndia division, Kirinyaga county in Kenya
Ndegwa, Paul Kihara
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The strengthening mathematics and science education - in-service education and training (SMASE INSET) in primary school has been initiated to improve pedagogical methods used by teachers teaching mathematics and science in public schools. It also addresses issues of attitude towards both teachers and pupils both teachers and pupils, how the content can be delivered within speculated time as well as use of resources mobilization and management. The proposed study was to establish the perceptions of teachers in the implementation of SMASE INSET in public primary schools; because good performance in our primary schools depends on teachers using guiding principles of SMASE INSET. Their perception has shed light so as to improve the implementation of SMASE. The Activity Student Experiment Improvisation (ASEI-PDSI) paradigm of the trends in the teaching and learning science and mathematics and according to the finding of several, need surveys. The study employed survey research design and use the questionnaire and interview schedule as the key data collected tools. The population of the study comprises of al the 41 public primary school teachers and head teachers of those schools in Kirinyaga West district. From the population, the researcher randomly sampled seventeen schools to participate in the study. All the science and mathematics teachers participating in the SMASE INSET participate in the study. The researchers also interview the trainers. Data from the teachers was collected using a questionnaire while that of the trainers was collected via an interview. Data collected from the field was coded and entered to the computer for analysis using statistical package for the social sciences (SPSS). Descriptive and analytical statistics was used to analyze the data obtained. The results of the data analysis was presented in frequency tables, histograms, percentages. Quantitative statistics was used to describe and summarize the data.