Smart Monitoring and Predictive Dashboard for Educational Laboratory Simulation Platforms

preprint OA: closed
Full text JSON View at publisher
Full text 11,420 characters · extracted from preprint-html · click to expand
Smart Monitoring and Predictive Dashboard for Educational Laboratory Simulation Platforms | 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 Smart Monitoring and Predictive Dashboard for Educational Laboratory Simulation Platforms Edward Pinto Pimenta Junior, Daniel Guzmán Del Río, Miguel Angel Orellana Postigo, and 1 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6830956/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract This work presents the development of intelligent monitoring software for educational platforms used in laboratory simulations, developed in Python. It enables tracking of students’ platform usage and recording data, such as access time and usage frequency. In addition, a supervised Artificial Intelligence model based on a decision tree analyzes the collected data and generates predictions regarding the future relevance of the laboratory simulation platforms used. The software includes an interactive dashboard accessible via a web browser, allowing educators to view real-time information and make data-driven decisions to optimize teaching and their didactic strategies. The tests demonstrated high efficiency in data collection and analysis, confirming the feasibility of the proposed solution. Software Engineering Monitoring Python Simulation Platforms AI Full Text Additional Declarations The authors declare no competing interests. Cite Share Download PDF Status: Posted Version 1 posted 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. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-6830956","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":467149625,"identity":"db621cc9-fd2f-4dd8-8ea0-1f5598b32d9e","order_by":0,"name":"Edward Pinto Pimenta Junior","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA7ElEQVRIiWNgGAWjYJACAxDBL3/4AIR7gIGNOC2SM9gSiNcC0XeDx4A4LfzSvQcKGHNs5Bhu93yT+FDDIMd3I4HtcQUeLZJzziUYMG5LM2acc3ab5IxjDMaSNxLYDc/gdU+OAVDL4cRmhtxt0jxsDIkbgLZINuDRYg/R8r++jSHnmfSffwz1BLUYSIC1HEjgkchhk2ZsY0gwIKRF4g7QL4nbkg1n8BwztuztkzCceeZhuyE+Lfyze48ZfNxmJ29/vPnhjR/fbOT5jicfe4hPC4MED5tBAhIXiBnxagBpYX6AX8UoGAWjYBSMeAAAd7VNvvCrME0AAAAASUVORK5CYII=","orcid":"https://orcid.org/0009-0002-9117-4032","institution":"PPGEEL - Universidade do Estado do Amazonas","correspondingAuthor":true,"prefix":"","firstName":"Edward","middleName":"Pinto Pimenta","lastName":"Junior","suffix":""},{"id":467149626,"identity":"9d197cee-1aca-46d6-9578-188ecb9d8e99","order_by":1,"name":"Daniel Guzmán Del Río","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAArElEQVRIiWNgGAWjYDCCA4wNDB8gTAMGIJs4LYwzSNTCwMDMQ5IWvtuHGx/bttnIM7A3b5Ng3HGPsBbJc4nNxrltaYYNPMfKJBjPFBPWYnCGsU06t+0wY4NEjpkEY1sCkVos2/7bN8i/IUULY9uBxAYJHiK1SJ5hbDbsOZec3MaTVmyReIYILXxn2B8++FFmZ9vPfnjjjY87iNACB2wgghQNo2AUjIJRMArwAAAOcTaB/eOvEgAAAABJRU5ErkJggg==","orcid":"https://orcid.org/0000-0003-4321-0465","institution":"PPGEEL - Universidade do Estado do Amazonas","correspondingAuthor":true,"prefix":"","firstName":"Daniel","middleName":"Guzmán Del","lastName":"Río","suffix":""},{"id":467149627,"identity":"080ca2c3-dc98-4a3b-8b8c-e6094b8a5243","order_by":2,"name":"Miguel Angel Orellana Postigo","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA1UlEQVRIiWNgGAWjYNACAwYGfgiLmYFBghgdB4BaJBtI0wKy6ACxWnRnNx/+/KGgVs74RvLBDwwV1okN0r0P8Goxu3MsTeKAwXFjsxtpyRIMZ9ITG2SOG+DXciPHDOiXY4nbbuQYSDC2HU5skEjD7zCgFuMPIC2bZ+R//sH4jzgtBkCH1SRukMhhk2BsIEYLyC9nDA4YS5x5ZmaRcCzduE3mGAEtt5sPf6j4UyfH3578+MaHGmvZfuk2/FqgsXAYwkkAYjYCGmBa6giqGwWjYBSMghEMAAm9SoKEWYSTAAAAAElFTkSuQmCC","orcid":"https://orcid.org/0000-0003-4827-7677","institution":"PPGEEL - Universidade do Estado do Amazonas","correspondingAuthor":true,"prefix":"","firstName":"Miguel","middleName":"Angel Orellana","lastName":"Postigo","suffix":""},{"id":467149628,"identity":"541e4b1a-6ef8-49be-ada6-9e56c3ff1c43","order_by":3,"name":"Israel Gondres Torné","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAuElEQVRIiWNgGAWjYBACNghlA6F4GBgSCGuB6EkjQQvUmsMkaOGTbz72uaDifGI/+wHGB2/bGPLMGwg6jC159owztxNn9iQwG85tYyiWOUBQC48xM2/b7cQNBxLYpHnbGBJnEHIYRMu/c4n7zz9g/02CloYDiRskEtiYidSSlszMcyzZeMaNh82Sc85JFEsQ0iLffPgwM0+NnWx/f/LBD2/KbPIIakECjA1AghQNo2AUjIJRMApwAgAOtjX7+4gcLwAAAABJRU5ErkJggg==","orcid":"https://orcid.org/0000-0002-1267-1878","institution":"PPGEEL - Universidade do Estado do Amazonas","correspondingAuthor":true,"prefix":"","firstName":"Israel","middleName":"Gondres","lastName":"Torné","suffix":""}],"badges":[],"createdAt":"2025-06-05 16:26:55","currentVersionCode":1,"declarations":{"humanSubjects":false,"vertebrateSubjects":true,"conflictsOfInterestStatement":false,"humanSubjectEthicalGuidelines":false,"humanSubjectConsent":false,"humanSubjectClinicalTrial":false,"humanSubjectCaseReport":false,"vertebrateSubjectEthicalGuidelines":true},"doi":"10.21203/rs.3.rs-6830956/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-6830956/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":84097774,"identity":"2a2b3c0b-019d-40a0-85ee-0e52b3b0508e","added_by":"auto","created_at":"2025-06-06 18:00:39","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":564870,"visible":true,"origin":"","legend":"","description":"","filename":"ArtigoSpringerStudentEdwardv1.pdf","url":"https://assets-eu.researchsquare.com/files/rs-6830956/v1_covered_97f6d7c2-a3dc-4a64-a24a-dc1e21bddc31.pdf"}],"financialInterests":"The authors declare no competing interests.","formattedTitle":"\u003cp\u003eSmart Monitoring and Predictive Dashboard for Educational Laboratory Simulation Platforms\u003c/p\u003e","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":true,"hideJournal":true,"highlight":"","institution":"PPGEEL - Universidade do Estado do Amazonas UEA","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Monitoring, Python, Simulation Platforms, AI","lastPublishedDoi":"10.21203/rs.3.rs-6830956/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-6830956/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eThis work presents the development of intelligent monitoring software for educational platforms used in laboratory simulations, developed in Python. It enables tracking of students’ platform usage and recording data, such as access time and usage frequency. In addition, a supervised Artificial Intelligence model based on a decision tree analyzes the collected data and generates predictions regarding the future relevance of the laboratory simulation platforms used. The software includes an interactive dashboard accessible via a web browser, allowing educators to view real-time information and make data-driven decisions to optimize teaching and their didactic strategies. The tests demonstrated high efficiency in data collection and analysis, confirming the feasibility of the proposed solution.\u003c/p\u003e","manuscriptTitle":"Smart Monitoring and Predictive Dashboard for Educational Laboratory Simulation Platforms","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-06-06 17:52:32","doi":"10.21203/rs.3.rs-6830956/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"39f660bf-00c2-4bcc-8ba8-a3c24d200906","owner":[],"postedDate":"June 6th, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[{"id":49600642,"name":"Software Engineering"}],"tags":[],"updatedAt":"2025-06-06T17:52:32+00:00","versionOfRecord":[],"versionCreatedAt":"2025-06-06 17:52:32","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-6830956","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-6830956","identity":"rs-6830956","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}

Text is read by the "Ask this paper" AI Q&A widget below. Extraction quality varies by source — PMC NXML preserves structure cleanly, OA-HTML may include some navigation residue, and OA-PDF can have broken hyphenation. The publisher copy (via DOI) is the canonical version.

My notes (saved in your browser only)

Ask this paper AI returns verbatim quotes from the full text · source: preprint-html

Answers must be backed by verbatim quotes from this paper's full text. Hallucinated quotes are dropped automatically; if no verbatim passage answers the question, we say so. How this works

Citation neighborhood (no data yet)

We don't have any in-corpus citations linked to this paper yet. This is a recent paper (2025) — citers typically take a year or two to land, and the OpenAlex reference graph may still be filling in.

Source provenance

europepmc
last seen: 2026-05-20T01:45:00.602351+00:00