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IJIET 2025 Vol.15(1): 8-17
doi: 10.18178/ijiet.2025.15.1.2213

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

Yi-Chun Lin1 and Yen-Ting Lin2,*
1. Department of Computer and Information Science, R.O.C. Military Academy, Taiwan
2. Department of Computer Science and Artificial Intelligence, National Pingtung University, Taiwan
Email: jellyplum@gmail.com (Y.-C.L.); ricky014@gmail.com (Y.-T.L.)
*Corresponding author

Manuscript received March 27, 2024; revised July 3, 2024; accepted October 6, 2024; published January 9, 2025

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.

Keywords—food and agricultural education, internet of things, environmental sensing, learning performances, quality education

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Cite: Yi-Chun Lin and Yen-Ting Lin, "The Effectiveness of Developing Cloud-Based Agricultural Environmental Sensing System to Support Food and Agriculture Education in Elementary School," International Journal of Information and Education Technology, vol. 15, no. 1, pp. 8-17, 2025.


Copyright © 2025 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

General Information

  • ISSN: 2010-3689 (Online)
  • Abbreviated Title: Int. J. Inf. Educ. Technol.
  • Frequency: Monthly
  • DOI: 10.18178/IJIET
  • Editor-in-Chief: Prof. Jon-Chao Hong
  • Managing Editor: Ms. Nancy Y. Liu
  • E-mail: editor@ijiet.org
  • Abstracting/ Indexing: Scopus (CiteScore 2023: 2.8), INSPEC (IET), UGC-CARE List (India), CNKI, EBSCO, Google Scholar
  • Article Processing Charge: 800 USD

 

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