Research on Information Sharing and Tracking Platform for Educational Management Based on Internet of Things Technology

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Research on Information Sharing and Tracking Platform for Educational Management Based on Internet of Things Technology | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Research on Information Sharing and Tracking Platform for Educational Management Based on Internet of Things Technology Yunlong Wang, Zhen Wang This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6942962/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 11 Nov, 2025 Read the published version in Discover Artificial Intelligence → Version 1 posted 17 You are reading this latest preprint version Abstract Advanced information exchange and monitoring platforms have been created due to the incorporation of IoT technology and artificial intelligence into educational systems. These platforms make it possible to collect, analyze, and make decisions about data in real time, which improve the efficiency, dependability, and long-term viability of the education network. Investigating an IoT-based platform created for information exchange and tracking within the solar system's implemented in school and analyse the tracking platform of the educational management is the goal of this project. Pelican optimized support vector machine (PO-SVM) was proposed in this study to achieve the sharing and tracking platform of educational management. We collect solar system sensed data and use min-max normalization to preprocess the raw data in order to remove noisy or redundant data before analyzing the performance of the suggested method. Following that, kernel-based linear discriminant analysis (K-LDA) was used to extract features. The performance of the proposed strategy was evaluated in terms of accuracy, precision, recall, sensitivity, specificity, and f-measure metrics, and it was also contrasted with other approaches. The results of this study will give important insights into the possible advantages of incorporating data mining methods into a solar system IoT platform. The outcomes can support the creation of effective allocation of resources in educational managements that were smarter and more effective, promote sustainability, and encourage the broad use of energy from renewable sources. educational management information exchange tracking Pelican optimized- support vector machine (PO-SVM) Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Published Journal Publication published 11 Nov, 2025 Read the published version in Discover Artificial Intelligence → Version 1 posted Editorial decision: Revision requested 18 Aug, 2025 Reviews received at journal 15 Aug, 2025 Reviews received at journal 06 Aug, 2025 Reviewers agreed at journal 04 Aug, 2025 Reviews received at journal 03 Aug, 2025 Reviewers agreed at journal 02 Aug, 2025 Reviewers agreed at journal 31 Jul, 2025 Reviewers agreed at journal 31 Jul, 2025 Reviews received at journal 11 Jul, 2025 Reviewers agreed at journal 11 Jul, 2025 Reviewers agreed at journal 08 Jul, 2025 Reviewers agreed at journal 07 Jul, 2025 Reviewers invited by journal 06 Jul, 2025 Editor invited by journal 27 Jun, 2025 Editor assigned by journal 27 Jun, 2025 Submission checks completed at journal 27 Jun, 2025 First submitted to journal 21 Jun, 2025 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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