Capacity Building Needs for Computer Numerical Control Machines Teachers’ Effectiveness in Technical Colleges in Delta State
Prince Ossai Chukwuma
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Prince Ossai Chukwuma: Department of Vocational & Technology Education Faculty of Education Rivers State University, Port Harcourt
International Journal of Research and Innovation in Social Science, 2024, vol. 8, issue 9, 1-12
Abstract:
The purpose of this study was to determine the capacity building needs of teachers of Computer Numerical Control Machines for effective teaching in College of Education (Technical) in Delta State. Descriptive survey research design was adopted for the study. Two research questions guided the study, while one null hypothesis was formulated and tested at 0.05 level of significance. The population of the study is 102 respondents consisting of 20 teachers of computer numerical control machines in college of education (technical) and 82 students. The instrument for data collection was a 35-item structured. The instrument was face validated by three experts. The internal consistency of the questionnaire was determined using Cronbach Alpha method and coefficient of 0.82 was obtained. Weighted mean and Improvement Need Index (INI) were used to answer the research questions while t-test was used to test the null hypothesis. The findings of the study revealed that all the 35 competencies in computer programming and machine set-up for smooth operation and effective teaching were accepted. The findings on hypotheses revealed that there was no significant difference in the mean ratings of the two groups of respondents on the competencies needed by teachers and students of computer numerical control machines in computer programming, machine set-up, threading of pipes, etc. for effective teaching in college of education (technical) in Delta State. It was therefore, recommended that the findings of this study be utilized to develop capacity building programmes for instructors of CNC machines in college of education (technical) in the area of study.
Date: 2024
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