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The Effectiveness of Developing Cloud-Based Agricultural Environmental Sensing System to Support Food and Agriculture Education in Elementary School

Year: 2025
Type: article
Study design: Clinical Trial
Abstract: This study developed a cloud-based agricultural environmental sensing framework and system to support traditional food and agricultural education, aiming to overcome the limitations of conventional teaching methods and enhance the learning experience. The system includes solar panels, humidity sensors, temperature sensors, and light sensors, which are sustainable energy components and sensors used to monitor the growth environment of crops. Integrated with Internet of Things (IoT) technology and cloud services, the system can instantly monitor the environment of planted crops, providing students and teachers with critical data on factors affecting crop development. By real-time monitoring of crop growth environments, students and teachers can continuously record and observe the growth of crops, ensuring that the educational process is uninterrupted. To evaluate the effect of the proposed system on students’ learning performance in traditional food and agricultural education courses, a quasi-experiment was conducted in an elementary school setting over six weeks, involving two classes. One class served as the control group, engaged in traditional food and agricultural education courses without the proposed system, while the other, the experimental group, was engaged in the courses with the proposed system. The results indicated no significant differences between the experimental and control groups in terms of learning achievements, motivation, or attitudes.
DOI: 10.18178/ijiet.2025.15.1.2213
Author: Yen-Ting Lin
Language: English
Open Access status: diamond
OpenAlex ID: W4406162360
FWCI: 1.784
Cites: 45
Cited by: 1
Related to: 10