Learning and health analytics of different active teaching methodologies

Learning and health analytics of different active teaching methodologies | 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 Article Learning and health analytics of different active teaching methodologies Priscila Fialkovits Mayeron, Luis Carlos Oliveira Gonçalves, Rosiran Souza Santos, and 9 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8885587/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 study compared conventional and active teaching methodologies (videos and comics) on knowledge acquisition among 73 Brazilian 7th-grade students. Active learning methods yielded substantially higher grade improvements (> 100%) than conventional instruction (10%). We integrated learning analytics with a non-invasive health biomarker, salivary Immunoglobulin A (IgA), to assess physiological responses. A significant decrease in IgA levels was observed post-intervention, suggesting that high cognitive engagement may induce transient physiological stress. This finding highlights a critical dichotomy between academic performance and student well-being. Furthermore, a predictive model robustly associated IgA dynamics with multidimensional factors, including dietary habits, parental support, and a history of school dropout. This study pioneers a 'Learning & Health Analytics' approach, demonstrating that while active learning is highly effective, a holistic assessment including physiological well-being is crucial for sustainable educational success. This framework provides educators with actionable, data-driven insights to identify and mitigate student barriers, thereby fostering a healthier, more effective learning environment. Health sciences/Biomarkers Health sciences/Health care teaching-learning IgA active methodologies learning analytics Full Text Additional Declarations No competing interests reported. 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. 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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-8885587","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":598555558,"identity":"c54e6ee5-e157-4652-abe8-1c3d64bd5884","order_by":0,"name":"Priscila Fialkovits Mayeron","email":"","orcid":"","institution":"Graduate Program in Basic and Applied Immunology and Parasitology, Federal University of Mato Grosso (UFMT), Brazil","correspondingAuthor":false,"prefix":"","firstName":"Priscila","middleName":"Fialkovits","lastName":"Mayeron","suffix":""},{"id":598555559,"identity":"f935cee0-9bd6-4951-aa49-27e5fb2f5464","order_by":1,"name":"Luis Carlos Oliveira Gonçalves","email":"","orcid":"","institution":"Research Group in Physiology and Metabolism, Federal University of Mato Grosso (UFMT), Brazil","correspondingAuthor":false,"prefix":"","firstName":"Luis","middleName":"Carlos Oliveira","lastName":"Gonçalves","suffix":""},{"id":598555561,"identity":"3601ce9d-6a35-4548-b777-d03bcf4045fa","order_by":2,"name":"Rosiran Souza Santos","email":"","orcid":"","institution":"Graduate Program in Basic and Applied Immunology and Parasitology, Federal University of Mato Grosso (UFMT), Brazil","correspondingAuthor":false,"prefix":"","firstName":"Rosiran","middleName":"Souza","lastName":"Santos","suffix":""},{"id":598555563,"identity":"1e91378e-464f-46d2-b0ca-4077210f6f71","order_by":3,"name":"Luciana Franco Lemes Neves","email":"","orcid":"","institution":"Graduate Program in Basic and Applied Immunology and Parasitology, Federal University of Mato Grosso (UFMT), Brazil","correspondingAuthor":false,"prefix":"","firstName":"Luciana","middleName":"Franco Lemes","lastName":"Neves","suffix":""},{"id":598555565,"identity":"e8466efa-9800-4594-a180-630359c831e7","order_by":4,"name":"Andrea Schulz Galvão","email":"","orcid":"","institution":"Research Group in Physiology and Metabolism, Federal University of Mato Grosso (UFMT), Brazil","correspondingAuthor":false,"prefix":"","firstName":"Andrea","middleName":"Schulz","lastName":"Galvão","suffix":""},{"id":598555566,"identity":"77aa3d30-110c-4501-9baa-06f2fafafd09","order_by":5,"name":"Márcio Vinícius de Abreu Verli","email":"","orcid":"","institution":"Research Group in Physiology and Metabolism, Federal University of Mato Grosso (UFMT), Brazil","correspondingAuthor":false,"prefix":"","firstName":"Márcio","middleName":"Vinícius de Abreu","lastName":"Verli","suffix":""},{"id":598555572,"identity":"c237ef03-4595-4fcc-ba28-db2e4a5c6f7a","order_by":6,"name":"Nádia Raquel Dutra de Morais Mourão","email":"","orcid":"","institution":"Graduate Program in Basic and Applied Immunology and Parasitology, Federal University of Mato Grosso (UFMT), Brazil","correspondingAuthor":false,"prefix":"","firstName":"Nádia","middleName":"Raquel Dutra de Morais","lastName":"Mourão","suffix":""},{"id":598555574,"identity":"c1773d98-ae12-45af-8aed-fa06cf3df0bf","order_by":7,"name":"Thalles Paul Leandro Mota","email":"","orcid":"","institution":"Graduate Program in Applied Computing. 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