Development of Intelligent Tutor for Enhancing Think-Pair-Share in Learning of Light Emitting Diode Television Troubleshooting

Hassan Yunusa Jamilu, Raymond Emmanual, Garba Aliyu Usman, Usman Abraham Usman

Abstract


The study was designed to develop an Intelligent Tutor (IT) for enhancing Think-Pair-Share (TPS) in learning of Light Emitting Diode Television (LED TV) troubleshooting using Research and Development (R & D) method. Three research questions and one hypothesis tested at .05 level of significance guided the study which was carried out in Northwest, Nigeria involving a population of 109 subjects. The instrument for data collection was Intelligent Tutor Assessment Questionnaire (ITAQ). Hypertext Mark-up Language (HTML) and Cascading Style Sheets (CSS) were used for the user interface design, while Python (Django framework) was used for the logic and database in the development of the IT. Findings that emerged revealed that the appropriate contents of a four-model IT which are Domain Model involving the principles of operation and how to troubleshoot Power, Picture and Sound Subsystems in LED TV as well as the Student, Tutoring and User Interface Models for enhancing TPS learning can be developed into a complete IT package. It was therefore recommended based on this finding that: (1) The National Board for Technical Education should review the curriculum for Radio Television and Electronic Work to include the appropriate contents for LED TV troubleshooting that were developed and validated in the present study; and (2) An intervention in form of teacher development programme should be initiated by the States Science and Technical Education Boards in North-West, Nigeria to train existing electronic teachers on the use of IT for enhancing TPS in learning of LED TV troubleshooting.


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