Optimization of Task-Centered Instructions in Computer Numerical Control Cutting Paths for Woodwork Technology Training

Abstract

The main purpose of the study was to optimize Task-centered Instructions in Computer Numerical Control (CNC) Cutting Paths for Woodwork Technology Training. To guide the study three objectives, three research questions were formulated to guide the study. The study adopted Research and Development Design (R and D). The population was 66 respondents, comprising of 27 woodwork technology/wood product Engineering lecturers, 15 woodwork technology/wood product Engineering technologies, supervisors, and 12 woodwork technology/wood product Engineering technicians. The sample size for the study was 56, (86.2%) of the population. One instrument was used for this study was 63 researcher-developed instrument titled:Task Instructions in CNCCutting Paths for Woodwork Technology Training Questionnaire was used for data collection for the study. The is a five-point Likert scale with response options scored thus: Highly Appropriate (HA), Moderately Appropriate (MA), Appropriate(A), Lowly Appropriate (LA), Not Appropriate (NA), with assigned values of 5,4,3,2, and 1 respectively. The instrument was validated by six experts for face-validation, content- validation and dacum-validation. Cronbach’s Alpha statistical tool was used to calculate the internal consistency of the instrument which was established at 0.88. the Mean and Standard Deviation statistics was used to answer the research questions, while factorial analysis was used to determine the experts rating and Pearson Product Moment Correlation (PPMC) was used to test for the Inter-Rater Reliability of the Package. The study revealed that out of 63 task instructional items 3 were discarded and 60 were found appropriate for inclusion in the CNC task instructional package. The content validity ratio was high there the package was appropriate for use in training. In conclusion all Woodwork Lecturers, Technologies, Supervisors, and Technicians agreed that the identified Tasks and Subtasks had a high reliability coefficient, hence it was deemed fit for use