Boonchat Mekkaeo
Petcharik Demonstration School, Thailand

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Implementation of a Gel Electrophoresis Image Analysis System Kittiphat Kaewchimplee; Chaturawit Bunkaeokrut; Sitthichot Somthong; Supphawet Tipphayut; Boonchat Mekkaeo
Journal of Educational Studies in Science, Technology, Engineering, Arts and Humanities Vol.1 No.2 (2026): March 2026
Publisher : PT. Global Research Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66314/jesteah.v1i2.941

Abstract

This study developed a gel electrophoresis image analysis system using digital image processing and the Structural Similarity Index (SSIM) to improve interpretative accuracy and reduce analysis time. Traditional laboratory methods often rely on subjective human observation, which can lead to significant diagnostic errors. The system, implemented in Python, streamlines the research workflow from image import and enhancement to band-intensity pattern analysis and automated lane comparison. Performance was evaluated using 10 standardized gel images, with results compared against a group of 15 students and domain experts (gold standard). The system achieved an average lane-detection accuracy of 80.00%, closely matching expert performance and significantly outperforming the student group (36.01%). Furthermore, the average analysis time was 14.96 seconds per image, approximately 3–4 times faster than manual interpretation. However, certain limitations were observed during testing, particularly a reduction in performance when analyzing images with excessive noise or poor band clarity, which occasionally affected lane detection and similarity assessment accuracy. Beyond laboratory efficiency, the system serves as an effective educational tool for high school students in biology and introductory bioinformatics education, reducing the barrier to entry for image analysis and computational biology concepts through an intuitive, low-cost interface. These findings demonstrate that the system enhances accuracy, speed, and consistency, offering a robust, scalable, and practical solution for both professional biological laboratories and modern science education.
Ecological Knowledge Management and Creative Economy Upgrading of Krajood Products in Phru Khuan Khreng, Thailand Boonchat Mekkaeo; Anucha Thaisanong; Nattanicha Homgate; Nannapat Prompetch; Khemmathat Suwanmanee
Journal of Education Psychology and Social Development Vol 2, No 1 (2026): June 2026
Publisher : PT. Global Research Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66314/jepsi.v2i1.701

Abstract

This in-depth qualitative case study investigates the dynamics of ecological knowledge management and the creative upgrading of Krajood handicrafts in the Phru Khuan Khreng wetland, Nakhon Si Thammarat. The research aims to explore how indigenous wisdom adapts to contemporary economic pressures while maintaining its ecological integrity. Data were collected through in-depth interviews with five local sages, participant observations of two community enterprises, and focus group discussions with three interdisciplinary experts. The findings reveal three pivotal dynamics: (1) Upstream Ecological Wisdom, specifically the "mud-soaking" technique which utilizes specific geological attributes as a natural fiber conditioner; (2) Midstream Technological Transition, where motorized machinery is integrated with "tacit knowledge" to enhance production efficiency without compromising traditional quality; and (3) Downstream Creative Management, utilizing identity-based storytelling and cross-material design to enter premium markets. From an educational psychology perspective, these dynamics represent a robust Community of Practice and a form of Situated Learning, where intergenerational knowledge is transmitted through social participation and ecological interaction. The study concludes that the structural adaptation of this wisdom system is essential for sustainable social development, fostering community resilience and the preservation of cultural capital within the global creative economy. The results offer a framework for integrating indigenous knowledge into place-based education and community-driven innovation.