ClassInsight: Developing an Agentic AIEd Tool for Responsive Teaching and Learning

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ClassInsight: Developing an Agentic AIEd Tool for Responsive Teaching and Learning | 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 ClassInsight: Developing an Agentic AIEd Tool for Responsive Teaching and Learning Talia Berler, Or Cohen-Sasson This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8078768/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 With artificial intelligence (AI) becoming increasingly central to professional industries, its potential to support and enhance educational practices is gaining significant attention through the growing field of AI education (AIEd). This study introduces ClassInsight, an open-source, freely available, and easy-to-use AI-powered application targeting a critical two-fold gap in humanities and social science education: empirically assessing students’ knowledge in real-time during class, and providing immediate, individualized feedback to students on complex, free text written submissions. Built on large language model (LLM) architecture, ClassInsight functions as an agentic tool that analyzes student writing submissions in real-time. The application generates two primary outputs: (1) anonymous, visual metrics that give educators evidence-based insight into collective student comprehension, and (2) personalized, contextually relevant feedback automatically delivered to individual students. This dual functionality enables educators to identify learning gaps immediately and adapt their teaching strategies responsively, while simultaneously addressing students’ misunderstandings and providing guidance needed to improve their performance. ClassInsight demonstrates how integrating AI capabilities directly into the educational workflow can enhance (rather than replace) human teaching expertise. This study contributes to the growing field of AIEd by offering both a practical solution for current educational challenges and a model for how AI tools can support teaching efficacy and student learning outcomes in an increasingly AI-driven world. 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. 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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