MedElevator Войти в исследования
← Поиск публикаций

DOI 10.1002/bmb.70082

Медицинская библиотека · Biochemistry and molecular biology education : a bimonthly publication of the International Union of Biochemistry and Molecular Biology · 2026

An Idea to Explore: AI-Supported Digital Twin Laboratory for Risk-Reduced and Immersive Biochemistry Education.

Shin Jihoon, Son Juhyung

СтатьяПеревод в очереди

Аннотация

Biochemistry education faces persistent challenges in equipping students with the skills required to manage complex laboratory protocols, advanced instrumentation, and analytical procedures, particularly in high-risk or resource-intensive experimental settings. Traditional hands-on training is constrained by limited access to equipment, safety concerns, and high operational costs, hindering institutions from providing realistic and scalable laboratory experiences. However, Digital Twin technology presents a transformative alternative. It creates simulations of real biochemical laboratories, providing immersive, scalable, and cost-efficient environments unconstrained by physical limitations. This approach supports interactive, avatar-mediated engagement that bridges conceptual knowledge with applied practice. In this study, we aimed to introduce BioDTLab, a custom Digital Twin framework for biochemistry education that integrates Virtual Reality, Internet of Things, robotics, data analytics, and an Artificial Intelligence (AI)-driven Virtual Chat-GPT Tutor. BioDTLab synchronizes physical and digital domains to provide high-fidelity simulations of biochemical processes and instrumentation, while the AI-driven Virtual Chat-GPT Tutor evaluates student engagement, comprehension, and procedural accuracy. Our findings demonstrate that Digital Twin frameworks, such as BioDTLab, can redefine biochemistry education by making advanced experiential learning more accessible, safe, and scalable, while reducing reliance on costly physical resources. BioDTLab integrates immersive simulation, real-time data synchronization, and AI-driven feedback to provide a sustainable model for future science education that enhances conceptual understanding and practical competence. In addition, its adaptability makes it suitable for instructional models, such as the flipped classroom, where pre-laboratory virtual practice can complement and enhance in-person laboratory training.

Для цитирования: Shin Jihoon, Son Juhyung. An Idea to Explore: AI-Supported Digital Twin Laboratory for Risk-Reduced and Immersive Biochemistry Education.. Biochemistry and molecular biology education : a bimonthly publication of the International Union of Biochemistry and Molecular Biology. 2026. DOI: 10.1002/bmb.70082.
Подготовка и перевод публикации
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…

История · было → стало

Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.

Тип публикации указан по данным источника. Уровень доказательности автоматически не присваивается.