Adaptive Education System for Drama Education in College Education System Based on Human-Computer

Abstract

Drama has key skills to develop creativity, speech, trust, communication, teamwork, and language. Regular access to the classroom develops capabilities, intelligence, emotional, critical thinking, and higher-order abstraction skills. A serious problem is the lack of confidence and administration. However, building student societies are now taking the initiative to change teaching methods in colleges and independent organizations. Several physical action human-computer interaction (HCI) competitions designed to improve interest, sentiment, and visual coordination will be presented in this article. The lack of professional teachers within the area is a further problem in teaching a particular course. In this article, the artificial intelligence-based dramatic social organization material (AI-DSOM) framework has been proposed to solve the challenges faced in drama education. Developing children's first language is fundamental to cognitive development because it provides new language opportunities. Data analysis technique can be applied to evaluate, understand, and analyze the problem to provide a cognitive awareness object considered inanimate. Furthermore, grammatical evaluations using deep learning are an effective and efficient technological solution with A.I. technology used to regulate and automate resources. The adaptive difficulty-based system aims to keep players interested in their games. Children with hearing impairments are being used as part of an ongoing project to develop adaptive educational systems based on HCI. These combined chores of method eliminate loss of time and energy in teaching by drama method. Simulation results show that proposed method enhances performance, knowledge, vocabulary, and efficiency compared to existing models.