Influence Of Classroom Practice Of Home Science On Employability In Kakamega County: Kenya

Tackling unemployment through vocationalisation of education is a strategy that has worked in countries such as United States, Australia, United Kingdom, Switzerland and Mozambique among others. It is in the light of this that the study sought to evaluate the methods of teaching Home Science in secondary schools for the purpose of informing policy on quality education delivery in vocational education. Home Science is a vocational subject which, if effectively taught; impacts learners with practical skills and attitudes necessary in equipping graduates with the ability to transform themselves into self-employed citizens. This study sought to investigate the influence of classroom practice of Home Science on employability in Kakamega County. The study objectives were; to create sensitization on the problem of unemployment among the youths in Kakamega County, to examine the methods used in teaching Home Science in Secondary Schools in Kakamega County, to identify the competencies developed through Home Science that are related to employability in Kakamega County and to establish the challenges affecting the teaching and learning of Home Science in Secondary Schools in Kakamega County. The study adopted a descriptive survey design in which 188 respondents were sampled to take part. Respondents were identified from Secondary Schools in Kakamega Central teaching Home Science subject. Respondents from the study included students, Home Science teachers and head teachers. The study used questionnaires for Home science teachers and students and an interview schedule for head teachers in collecting data. To ascertain validity of data collection instruments, a pilot study was undertaken before administering the instruments to respondents and feedback from the pilot study informed the corrections in the data collection instruments. Reliability of data collection instruments was ascertained through the use of test-retest method where Cronbach’s Alpha coefficient was computed and found to be reliable. Both descriptive and inferential statistics were employed in the process of data analysis. Study data was analysed using Statistical Package for the Social Science (SPSS) version 22.0 for windows. Descriptive statistics included frequencies and percentages.