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

Institutions

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
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Empowerment of Intelligent Teaching through Digital Twins: Characteristics, Application Scenarios, and Innovative Models

Jie Wen, Jingyi Xu, Kai Zhang
Digital Transformation in Industry
article

The Empowerment of Intelligent Teaching through Digital Twins: Characteristics, Application Scenarios, and Innovative Models

Jie Wen, Jingyi Xu, Kai Zhang
article en

Abstract

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.

Fudan University (CN)
Quality Education
Openalex Percentile: Top 56%
Digital Transformation in Industry
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.