Interactive teaching using human-machine interaction for higher education systems

Advances in Interactive Teaching Methodology (ITM) quickly transformshigher education and learning where ITM incorporates web-based face-to-face instruction. IfITM policies are expanding, teachers, lecturers, and administrators must discuss the theoretical foundations of ITM Research. The intellectually enhanced ability makesmore learning choices in some adverse circumstances.Using methods such as hands-on demonstrations, audio-visual aids, and regular teacher-student interaction, teachers actively involve their students in their learning through interactive Teaching. Students are constantly urged to take an active role in class discussions.This paper examines the Interactive Teaching Framework using Human-Machine Interaction (ITF-HMI) for online education Higher Education Systems.In the literature survey, the critical hypotheses used in prior research are the ad hoc models for embracing technologies, the performance studies of knowledge systems, the unified ideology of ITM deployment, the utilization of technology, and the propagation of progress theories. In higher education institutions' instructional phase, sophisticated information and communication technologies with virtual technologies allow an integrated collaboration. This framework discusses how the MOOC platform allows organizing e-learning, taking electronic classroom classes, following online courses, and carrying out synchronous and asynchronous learning. The online tasks created permitted the students to track their progress in all educational activities. The experiment findings helped direct a follow-up analysis in this area with a high acceptance rate amongst the participants. The simulation result of the proposed method enhances performance analysis (98.27%), prediction analysis (97.45%), accuracy analysis (96.27%), resiliency analysis (94.9%), efficiency analysis (98.8%).