IMPROVING HYBRID EDUCATION USING ARTIFICIAL INTELLIGENCE BASED DIGITAL TWIN TECHNOLOGY (AIBDTT)

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OJUOPE, KEHINDE ISAAC
SALAWU, SULE AJIBOYE
CHRIS-ALOFE, MARY FOLASADE

Abstract

Hybrid education is one area that can move forward tremendously with the provision of the functionalities provided by digital twin technology. Digital twin is a virtual replicas of physical reality, digital twins mirror the real objects they represent, including components, infrastructure, architecture, and functionality. 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.

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OJUOPE, KEHINDE ISAAC, SALAWU, SULE AJIBOYE, & CHRIS-ALOFE, MARY FOLASADE. (2024). IMPROVING HYBRID EDUCATION USING ARTIFICIAL INTELLIGENCE BASED DIGITAL TWIN TECHNOLOGY (AIBDTT). International Journal of Library Science and Educational Research, 5(8). https://cambridgeresearchpub.com/ijlser/article/view/331

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