The Empowerment of Intelligent Teaching through Digital Twins: Characteristics, Application Scenarios, and Innovative Models
In recent years, the development of emerging technologies such as big data, the Internet of Things, artificial intelligence, 5G, and cloud computing has not only sparked social transformation but has also brought about significant changes in education and teaching. This article primarily explores the application and potential of digital twin technology in the innovation of intelligent teaching models. By reviewing the evolution of intelligent teaching models—from traditional digital teaching to the integration of digital technologies in teaching, and finally to blended teaching that combines virtual and physical elements—this paper showcases the progression of intelligent teaching frameworks. It analyzes the core characteristics of digital twin intelligent teaching, enumerates various application scenarios of digital twin technology in this context, and proposes a design and construction framework for new models of digital twin intelligent teaching, emphasizing key elements such as the digital twin roles, model construction, and educational effectiveness analysis. Ultimately, the article concludes that digital twin technology will bring revolutionary changes to intelligent teaching models, facilitate the digital transformation of education, and create a more intelligent, efficient and personalized learning experience.
Authors
- Jie Wen (ORCID: https://orcid.org/0009-0007-4776-5800)
- Jingyi Xu (ORCID: https://orcid.org/0009-0002-8743-7979)
- Kai Zhang (ORCID: https://orcid.org/0000-0003-3190-083X)
Institutions
- Fudan University (CN)
Publication Details
- Published
- 2024-11-23
- DOI
- https://doi.org/10.1145/3719487.3719534
- Primary Topic
- Digital Transformation in Industry
- Type
- article
- Field-Weighted Citation Impact
- 0.00