Research on Digital Twin Wisdom Teaching Mode for Cultivation of Higher-Order Thinking Skills

As global digital transformation of education continues to gain momentum, higher-order thinking skills have become an important dimension of the core competitiveness of talents. The traditional teaching paradigm is limited to specific liabilities of physical time and space, identified as well as a scarcity of resources, thereby limiting the support to the systematic cultivation of learning on students' critical thinking as courses of study, innovative design, and complex problem-solving capabilities linked to their education and professional development. Digital twin technology, defined as possessing a characteristics of virtual-real mapping, dynamic simulation and real-time feedback, provides a new avenue for ushering in a reconstruction of the teaching paradigm. The focus of this study is on this smart teaching model empowered by digital twin technology. By establishing theoretical in-depth interaction between the three-dimensional virtual scenario and physical teaching space, it realizes the organic integration of the real situation knowledge application stage and the thinking training stage. Although the paradigm-related teaching reform, driven by technology, broadens the borders of cognition there are difficulties that involve the bottleneck of the real-time interaction of multi-source data as well as the limited technical adaptability of both teachers and students. In this regard, researching the cultivation mechanism of this teaching model for higher-order thinking is important, not only as a breakthrough in educational technology theories but also as a breakthrough to improving the quality of education for efficient learning.

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Publication Details

Journal
Educational Innovation Research
Published
2025-05-26
DOI
https://doi.org/10.18063/eir.v3i4.1007
Primary Topic
Theoretical and Computational Physics
Type
article
Field-Weighted Citation Impact
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Research on Digital Twin Wisdom Teaching Mode for Cultivation of Higher-Order Thinking Skills

Educational Innovation Research
Theoretical and Computational Physics
article

Research on Digital Twin Wisdom Teaching Mode for Cultivation of Higher-Order Thinking Skills

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Abstract

As global digital transformation of education continues to gain momentum, higher-order thinking skills have become an important dimension of the core competitiveness of talents. The traditional teaching paradigm is limited to specific liabilities of physical time and space, identified as well as a scarcity of resources, thereby limiting the support to the systematic cultivation of learning on students' critical thinking as courses of study, innovative design, and complex problem-solving capabilities linked to their education and professional development. Digital twin technology, defined as possessing a characteristics of virtual-real mapping, dynamic simulation and real-time feedback, provides a new avenue for ushering in a reconstruction of the teaching paradigm. The focus of this study is on this smart teaching model empowered by digital twin technology. By establishing theoretical in-depth interaction between the three-dimensional virtual scenario and physical teaching space, it realizes the organic integration of the real situation knowledge application stage and the thinking training stage. Although the paradigm-related teaching reform, driven by technology, broadens the borders of cognition there are difficulties that involve the bottleneck of the real-time interaction of multi-source data as well as the limited technical adaptability of both teachers and students. In this regard, researching the cultivation mechanism of this teaching model for higher-order thinking is important, not only as a breakthrough in educational technology theories but also as a breakthrough to improving the quality of education for efficient learning.

Educational Innovation ResearchVol. 3(4)
Shanghai Technical Institute of Electronics & Information (CN), Shandong First Medical University (CN)
Quality Education
Openalex Percentile: Top 52%
Theoretical and Computational Physics
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