DEEP LEARNING AI ASSISTANT FOR HYBRID EDUCATION WITH DIGITAL TWIN TECHNOLOGY

Hybrid education is one area of learning that can move forward tremendously with the functionalities provided by digital twin technology. Digital twin (DT) is a virtual replica of physical reality; digital twins mirror the real objects they represent, including components, infrastructure, architecture, and functionality. Deep learning is a subset of machine learning that uses multilayered neural networks called deep neural networks, to simulate the complex decision-making power of the human brain. Some form of deep learning powers most of the artificial intelligence (AI) applications in our lives today. This paper focused on Deep learning (DL) AI assistant for hybrid education with digital twin technology. Related works were explored; results, conclusion and recommendations were drawn out. From the work, we discovered to build a dynamic and collaborative hybrid learning environment; digital twin technology becomes its bedrock. Digital twin technology can be established at all levels of education, it can be employed in a variety of educational contexts. Students can mimic scientific experiments that may be very difficult to conduct in classroom as a result of lack / limited resources, safety, time and cost of conducting such an experiment. Digital twins can be used to develop virtual versions of the finding; it can help academic researchers to plan virtual field trips that enable learners travel the globe without ever leaving the classroom. Students can interact with the subject teacher or the experts virtually by using digital duplicates to build virtual versions of the model for hybrid education in a remote community where students face the challenges of accessing th learning facilities.