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The development direction and challenges of STEM integration: a systematic literature review Lei, Zhang; Jalaludin, Nur Atiqah; Rasul, Mohamad Sattar; Salim, Mohamad Hidir Mhd
Journal of Education and Learning (EduLearn) Vol 20, No 1: February 2026
Publisher : Intelektual Pustaka Media Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/edulearn.v20i1.22439

Abstract

The development of society has put forward higher requirements for K-12 talent cultivation. However, some situations are not optimistic, such as students’ low interest in mathematics, science and other disciplines, and the subject setting cannot match the needs of talent cultivation. Numerous studies confirmed that in the context of curriculum integration, further integration of science, technology, engineering, and mathematics (STEM) curriculum, learning methods and other aspects is needed, but there are still few summaries of the development direction and approaches of STEM in the context of STEM integration. This paper focuses on STEM integration, to clarify the development direction and approaches of STEM integration in the context of education reform, and then systematically summarize the development and existing problems of STEM integration education with a systematic literature review (SLR) method, 62 articles from 2013-2023 were finally selected from Web of Science (WoS). This study reveals the development of STEM curriculum, STEM pedagogy and models in STEM integration, attaches importance to the concept of interdisciplinary integration, advocates curriculum integration and improves students’ 21st century skills by integrating. In addition, there needs to be more research focusing on the internal impacts of learning outcomes, STEM literacy, and student STEM identity.
Application of Singular Value Decomposition for Image Compression of Yogyakarta Cosmological Axis in Digital Learning in Vocational Education Sahria, Yoga; Sudira, Putu; Salim, Mohamad Hidir Mhd
International Journal of Engineering, Science and Information Technology Vol 6, No 1 (2026)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v6i1.1732

Abstract

This study examines the application of the Singular Value Decomposition (SVD) method as a digital image compression technique on the Yogyakarta Cosmological Axis object which is used as a digital learning medium in vocational education. The background of this study is based on the need for high-quality visual media with efficient file sizes for easy storage, transmission, and access through digital-based learning systems. The study uses an experimental quantitative approach with data in the form of high-resolution digital images processed through SVD-based compression stages. The research procedure includes image transformation into matrix form, matrix decomposition using SVD, selection of a number of dominant singular values (ranks), and reconstruction of the compressed image. The research data were analyzed using image quality evaluation parameters, namely Mean Squared Error (MSE), Peak Signal-to-Noise Ratio (PSNR), Structural Similarity Index (SSIM), and Compression Ratio (CR). The results show that an increase in the rank value is directly proportional to an increase in the quality of the reconstructed image, as indicated by a decrease in the MSE value and an increase in the PSNR and SSIM values. Conversely, a decrease in the rank value results in a higher compression rate but is followed by a degradation in the visual quality of the image. Experimental data also shows that most of the visual information of an image can be represented by a small number of principal singular values, thus allowing for significant file size reduction without losing the important visual structure of the image object. Visually, the compressed image at a medium rank value is still considered suitable for use as a learning medium because the main details, object contours, and visual characteristics of the Yogyakarta Cosmological Axis can still be recognized well. These findings prove that the SVD method is effective as a mathematical-based image compression technique to support the development of efficient, informative, and contextual digital learning media based on local wisdom in vocational education