Abstract:
The study sought to develop an intelligent web-based tutoring system for learning MySQL in Nigeria Universities. Research and development design was adopted for the study. Five research questions and one null hypotheses was tested at 0.05 level of significance guided the study. The population of the study was 302 lecturers and final year students from universities in Delta State. A sample of 186 lecturers and students were used for this study. A 28-item questionnaire titled: Software Requirement Specification Questionnaire (SRSQ), 9-Alpha testing Evaluation Questionnaire and 10-item Student Personalized Response Validation Questionnaire (SPRVQ) was used for data collection. The instruments were subjected to face validation by five experts. The data collected were analyzed using mean and ANCOVA. Mean was used for answering the research questions while ANCOVA statistic was used to test the null hypotheses. The reliability of the instrument yield 0.98 using Cronbach Alpha formular. The findings of the study showed that intelligent web based tutoring system do not required a technical person before the system would be used, this study also revealed that dream waver is not appropriate for development of an intelligent web based tutoring system. Based on the findings of the study, appropriate recommendations were made, among which are (Nigerian Universities Commission) NUC should adopt the Intelligent Web based Tutoring System for learning MySQL in higher institutions. Workshops and seminars should be organized by ministries of education and related government agencies to enlighten lecturers in computer science and computer robotics education, to improve their knowledge and skills on the use of Intelligent Web based Tutoring system and other ICT instructional medium as found in this study to be effective in enhancing students’ cognitive achievement, psychomotor achievement and retention of learning in technical and vocational trade programmes.
