Integrity Journal of Education and Training

This study developed an Intelligent Tutor for enhancing Think-Pair-Share in learning of Electrical Machines in Colleges of Education (Technical) in North East, Nigeria that will improve access to students and give them flexibility in learning. The study adopted a multi-method research design involving Research and Development (R & D) and Descriptive Survey research designs. The population of the study was 25 persons consisting of 10 lecturers of Electrical/Electronic Programme in Federal College of Education (Technical) Potiskum and Federal College of Education (Technical) Gombe, 15 industrial personnel, 5 each from Ashaka Cement, Bajoga, Savannah Sugar Plantation, Numan and Adama Beverages, Yola. Three research questions and three null hypotheses guided the study. The instruments were subjected to face and content validation by experts. The instrument, Intelligent Tutor Questionnaire for Electrical Machines (ITQEM) was then incorporated in the Intelligent Tutor (IT) for enhancing Think-Pair-Share in learning of Electrical Machines. Data collected from industrial personnel and lecturers’ validation were analyzed using mean and standard deviation, two-tail t-test was used for test of significance between the responses of industrial personnel and Electrical/Electronic lecturers at 0.05 level of significance. The findings of the study showed that three topics and 60 items were found to be appropriate for inclusion in the Intelligent Tutor. It was recommended among others that, since Research grants such as Tetfund NRF, Bench-work and PTDF should give priorities to scholars working on Intelligent Tutors and Artificial Intelligences in general to allow equal access for learners from all angles of the country which would in turn harnesses the untapped resourcefulness of the lecturers in Electrical Machines Principles of Operation.