Development And Validation Of An AI Enhanced Motion Graphic Instructional Package For Teaching Woodworking Machine- Tools In Colleges Of Education In North-West, Nigeria.

The study aimed to develop and validate an AI -enhanced digital motion graphic instructional package (DMGIP) for teaching Woodworking machine – tools in colleges of Education in North-West, Nigeria. The Research and Development (R&D) Methodology was employed utilizing the ADDIE Instructional Design Model. Also, the Quasi - Experimental procedure was used during the Implementation and Evaluation staged of the ADDIE design model in determining the effectiveness of the developed DMGIP on students Cognitive Achievement. The validation process yielded high reliability coefficient for the instruments used, with, with computed values of .907, .878, .873, .967 and .983 obtained. The study was guided by five Research Questions and three Null Hypotheses which were tested at 0.05 level of significance and, findings revealed a significant difference in the Mean Achievement scores of students taught with the AI -enhanced digital motion graphic instructional package and those taught with conventional method. The result indicated that the developed DMGIP was effective was effective in enhancing students’ cognitive achievement and interest in woodworking Machine – tools. Furthermore, the three null hypotheses were accepted. Based on these findings, it was recommended that the National Commission for Colleges of Education and Woodworking machine tools Lecturers should use the AI – enhanced Digital Motion Graphic Instructional Package in Woodworking machine - tools.