디지털 트윈 기술을 활용한 과학 탐구 수업 구성 모델개발

Development of the Model for Construction in Science Inquiry Class Using Digital Twin Technology

초록

This study aims to develop a model for construction in a science inquiry class, explicitlyfocusing on the application of digital twin technology. This technology allows students toexplore biological phenomena virtually, learning with virtual replicas and physical spacein the context of learning biology. To develop the model, the researcher analyzed variousresearch related to digital twin applications and performed a literature review in the contextof effective teaching and learning strategy. Additionally, 22 students were recruited to assessthe effect of the class to construct through the model at the affective domain. This studyfound that the construction model of inquiry class functions as guidance for interactive andimmersive learning, enabling students to overcome the traditional limitations of time, space,and physical resources. Also, results showed that students significantly improved theiraffective domain in biology inquiry class. Consequently, three conclusions were drawn fromthis research. First, digital twin technology enhances student engagement and interaction,creating a more immersive and interactive learning environment. Second, personalizedlearning is facilitated, as the digital twin system allows for real-time monitoring and tailoredfeedback, fostering greater independence in students’ learning processes. Third, the digitaltwin-based class model proved feasible and effective in actual classes, with tangibleimprovements in students’ affective domain towards science and inquiry-based learning. Therefore, using the digital twin technology can help reduce the digital and educationaldivide by providing high-quality learning experiences in resource-limited settings.

키워드

Digital twinscience inquirylearning biologyscience educationteaching & learning strategy
제목
디지털 트윈 기술을 활용한 과학 탐구 수업 구성 모델개발
제목 (타언어)
Development of the Model for Construction in Science Inquiry Class Using Digital Twin Technology
저자
변정호
DOI
10.31216/bdl.20240018
발행일
2024-09
유형
Y
저널명
Brain, Digital, & Learning
14
3
페이지
305 ~ 324