Design and Application of Teaching System Using Artificial Intelligence Technology

In recent years, a large number of academic institutions have examined and experimented with teaching system evaluations with varying degrees of success. Techniques and tools for assessing the quality of the teaching system in general higher education institutions are required in order to comprehend the quality of learning and the teaching system in universities and colleges, to enhance school circumstances, and to develop the AI of teaching management in Oman. Important elements of the contemporary education institute and teaching system are lesson planning, implementation, test preparation, in-class audiovisual aid use, classroom instruction and practice, and assessment. Because of this, the success of instruction greatly depends on the design of the system of instruction. This study presents an IFH-DAdaBoost algorithm, which is based on artificial intelligence (AI), as a solution to the current issue of the skills fostered by universities and colleges not always aligning with societal needs regarding creativity, practices in engineering, and international competitiveness. The real-world teaching effect shows that modern students prefer and give better evaluation ratings to AI designs. The experiment results also show the stability, accuracy of the suggested method, which overcomes the design constraints of the traditional teaching system. Thus, by enhancing their training in practical abilities, an AI-driven teaching system would significantly improve students' overall quality and innovative capability.