WARERING: AN INNOVATIVE IOT PLATFORM FOR REAL-TIME CONTROL AND VISUALIZATION IN LEARNING CONTEXTS

Abstract

This research aimed to develop and evaluate a prototype Internet of Things (IoT) platform for practical instruction in higher education. The design focused on ease of use, scalability for large numbers of users, and the ability to control devices and visualize sensor data in real time. The study began with an analysis of the limitations of existing platforms, which were found to be unsuitable for classroom environments due to their complexity and limited capacity to manage multiple devices concurrently. To address these issues, the research team developed “WARERING,” applying Agile Software Development principles within the Scrum framework to enable iterative development and continuous improvement based on user feedback. Key technologies integrated into the platform include MQTT for data transmission, WebSocket for real-time visualization, MongoDB for unstructured data storage, and Kubernetes for cloud-based system management. Performance testing through simulated real-world usage demonstrated that the platform could support up to 500 concurrent users with an average response time of less than 500 milliseconds and an error rate of less than 1%. User satisfaction assessments indicated a very high level of satisfaction, with a mean score of 4.45 and a standard deviation of 0.53. Notably, the aspect of ease of learning the system received the highest satisfaction rating, with a mean score of 4.63 and a standard deviation of 0.34. These findings suggest that the WARERING platform effectively supports real-time, hands-on learning and demonstrates strong potential for broader adoption across educational institutions.