The Effectiveness of a Digital Twin Learning System in Assisting Engineering Education Courses: A Case of Landscape Architecture
Source abstract
Abstract
In conventional engineering education, issues such as the discrepancy between virtual and real environments, rigid practical operations, lack of reflective support, and a disconnect between online and offline learning prevail. Digital twin technology, with its high fidelity and real-time interaction features, presents an innovative instructional aid for engineering education. This study developed a digital twin learning system to assist instructors in implementing project-based teaching models in landscaping technology courses. To assess the effectiveness of this system, a quasi-experiment was designed. Seventy students from a vocational high school majoring in landscaping technology in China were recruited as participants. These students were divided into two groups, each consisting of 35 students, with the same teaching pace. The experimental group utilized the system to supplement the instructor’s teaching of landscaping courses, while the control group received instruction through traditional methods. The experiment lasted for eight weeks, comprising a total of 16 classes. Ultimately, the results indicated that students in the experimental group significantly outperformed those in the control group in critical thinking, cognitive load, learning experience, and academic performance. Additionally, this research examined the acceptance of learners toward using the digital twin learning system and its influencing factors based on the Technology Acceptance Model, aiming to provide insights into enhancing engineering education courses teaching effectiveness and targeted technological development.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Digital Transformation in Industry · Technology-Enhanced Education Studies · Engineering Education and Technology
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
College of Education, Zhejiang University of Technology, Hangzhou 310023, China
College of Agriculture and Biotechnology, Zhejiang University, Hangzhou 310023, China
Funding
Zhejiang Higher Education Association 2020 Higher Education Research Project “College Students Explore Innovative Learning Mode in Smart Classrooms”
References (97)
Show source-provided references
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