The potential of digital twins in education areas other than personalized learning

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Gregory Pudovsky

Post: March 19, 2025 11:47 AM Update: March 19, 2025 11:47 am

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The use of digital technology and AI in education dates back to the 1960s when the development of intelligent personal guidance system begins. The system was adjusted according to the demands and learning styles of students and was designed to provide personalized education. The development of LLM (Lange Language Model) began with the emergence of natural language processing (NLP) in the 1950s and 1960s. In the early stages, these language models usually use statistical methodologies to estimate the probability of a word or phrase given in linguistic contexts.

At this time, an intelligent personal guidance system (ITS) called Plato was developed at Illinois University at Urbana-Champaign. It was the first computer system for students to interact with learning materials through the graphic user interface, and the data were adjusted to suit their needs using AI. A system that automatically scores programming classes is another example of an initial attempt to use AI in education. The development of personal computers was accelerated in the 1970s. Ticcit is an example of the system of that period.

When the Internet arrived, it suffered a big change and developed to provide adaptive, intelligent and personalized educational services that run in the machine learning model. Despite these progress, their abilities have been limited to individualized learning and education. The growth ability of the evolution of Web2 and the growth ability of social and collaboration -based interactions has led to a new era of development.

The emergence of the 2017 transformer deep learning architecture was a turning point in the history of intelligent software development. Since then, intelligent models such as GPT (generated pre -trained transformers) have begun to appear, and Chatgpt began in November 2022.

Digital twin technology is participating in education

Digital twin technologies originally used in aerospace and manufacturing to optimize design optimization and forecast maintenance are now participating in training. The technology developed by Antix introduces teachers and learners the concept of surreal digital human beings. Antix uses a combination of advanced technologies such as Avagen, a monopoly solution that enables smooth generation and management of digital identity in meta versions. This technology uses advanced machine learning and NLP to provide ultra -surreal interactions so that users can participate in the digital environment meaningfully. Antix also integrates blockchain technology to ensure the originality and security of each digital man to allow personalized experience to evolve with users.

Digital twins can provide personalized notifications on time management, real -time feedback on academic activities, notifications of the proposed reading list, lecture and evaluation. You can integrate elements such as games to get more motivation and compensation. The potential of the AI ​​-based digital twins is extended to delegate everyday work, deliver lectures at the same time and answer questions frequently. They can reduce the burden on excessive educators while improving students’ learning experiences. The AI ​​behind the digital twin interacts separately from each student, providing a large amount of individualized approach at the same time, so the technology is ideal for large online processes.

Personalized interactions are far from the only potential benefits. Teachers can design digital twins to simulate tones and professors. They can be assigned twins in classrooms, corporate education sessions and online platforms so that they can access professional knowledge for 24 hours.

Using facial motion capture and AI -based text speech speeches, twins can guarantee consistent teachings even if they are physically absent from students in a personal and attractive way to students in a personal and attractive way. Digital twins can track progress, monitor student interactions, and adjust class plans in real time. If a student is struggling with a specific concept, the AI ​​assistant is dynamically displayed and provides additional exercises or resources that fit the needs.

Finally, the teacher can combine multimodal learning methods with digital twin technologies to create interactive and immersive lessons using a combination of text, images, audio and videos. This learning approach has shown to improve understanding and maintenance.

Digital twins will help to solve growing teachers

According to a recent report from Economic Policy Institute, the lack of teachers in fact, large -scale and growing teachers is much more serious than the estimated indicators of teacher quality such as education, certification and experience. Teacher shortages harm students, educators and systems as a whole. The lack of qualified teachers and aides reduces the effects of existing teachers and threatens students’ learning skills, while high teacher turnover rates deplete resources that can be used better elsewhere.

Digital twins can make the education expand if it automates everyday work and does not damage the quality. 24/7 availability will be especially useful for students in other times or students who need additional support. Digital twins with real -time response and true expressions are much easier to capture students’ attention than pre -recorded lectures or static slides and adjust the professor’s style to meet individual learning requirements.

About the author

Gregory, a Polish digital nomadic citizen, is not only a financial analyst but also a valuable contribution to various online magazines. Based on his abundant experience in the financial industry, his insights and expertise have been recognized by numerous publications. Gregory is now dedicated to writing books on cryptocurrency and blockchains.

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