A Study On Impact Of Remote, Twin-Based Labs On Student Performance And Engagement

HARINI . S

doi:10.36948/ijfmr.2026.v08i01.66381

A Study On Impact Of Remote, Twin-Based Labs On Student Performance And Engagement

Author(s)	Ms. HARINI . S
Country	India
Abstract	Digital Twin-based laboratories, which are virtual, cloud-connected replicas of physical systems, have become more popular as a result of the growth of remote learning and digital transformation in education. They provide a fresh approach to providing hands-on learning opportunities in engineering education. With an emphasis on computer engineering, specifically in the areas of embedded systems, cloud platforms, and smart networks, this study investigates the effects of remote Digital Twin laboratories on student performance, engagement, and concept mastering. Students learn using physical microcontroller kits (such as Arduino and ARM) in traditional embedded systems education. Students can now engage with cloud-hosted virtual versions of embedded systems called Digital Twins, which allow them to test control logic in real time, view sensor outputs, and replicate microcontroller code. With features like real-time data synchronisation, multi-user collaboration, and scalable simulations, these cloud-connected labs—powered by platforms like AWS IoT, Microsoft Azure, or Google Cloud IoT Core—assist students in comprehending system design and implementation in distributed environments. Additionally, via the use of examples such as smart home system simulations, the integration of smart networks enables students to have practical experience with low-latency data streaming, IoT protocols (MQTT, CoAP, REST), and network optimisation. The study assesses the impact of these virtual labs on learning outcomes in comparison to conventional setups using a mixed-method approach that incorporates engagement measurements, student questionnaires, and performance analytics. According to the findings, laboratories based on digital twins greatly improve accessibility, encourage remote and active learning, and get students ready for workplaces that are cloud-native and driven by the Internet of Things. The results back up the use of digital twin systems as a scalable and successful approach for teaching engineering in the next generation, meeting the needs of smart learning ecosystems and Industry 4.0.
Keywords	Digital Twin , Remote Laboratories , Student Engagement , Engineering Education, Embedded Systems.
Field	Computer > Automation / Robotics
Published In	Volume 8, Issue 1, January-February 2026
Published On	2026-01-13
DOI	https://doi.org/10.36948/ijfmr.2026.v08i01.66381

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A Study On Impact Of Remote, Twin-Based Labs On Student Performance And Engagement

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