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    Learning Analytics Agent

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    Sold by: XenonStack 
    The Learning Analytics Agent is an AWS-native AI solution that turns fragmented learning data into actionable insights for educational institutions. It provides real-time analytics on student engagement, progress, and risks like disengagement or dropout. With data integration from LMS, SIS, and assessments, it offers transparent risk drivers and early-warning signals. The solution includes a natural-language copilot for easy querying and actionable recommendations, along with governed intervention workflows for policy-compliant responses. Deployed on Amazon ECS, it scales efficiently while ensuring operational clarity and compliance.

    Overview

    Learning Analytics Challenge:

    Educational institutions are increasingly digitizing learning through various platforms like LMS, SIS, and online classrooms. However, this creates vast amounts of fragmented learning data that is difficult to convert into actionable insights. Traditional reporting systems suffer from delayed intervention, lack of transparency, and unexplainable risks, which leads to disengagement, higher dropout rates, and inefficient use of academic resources.

    Our Solution: Learning Analytics Agent on AWS:

    The Learning Analytics Agent on AWS is an AI-powered, AWS-native platform designed to provide real-time analytics on student engagement, progress, and risk factors. Deployed on Amazon ECS, it integrates data from LMS, SIS, assessments, and classroom interactions, offering a unified, explainable view of student performance. It utilizes a natural-language analytics copilot to provide insights, early-warning signals for disengagement or dropout risks, and actionable intervention recommendations—ensuring compliance with educational policies.

    With a multi-agent orchestration approach, the solution performs risk assessments, provides early detection of at-risk students, and generates tailored intervention workflows for instructors and academic operations teams. By automating analytics and intervention workflows, the solution improves the efficiency and effectiveness of student success programs.

    Key Benefits & Business Outcomes:

    • Faster intervention to improve student engagement and retention by detecting disengagement early (40–60% improvement).

    • Higher assignment completion and pass rates (15–25% improvement).

    • Reduced manual reporting workload (60–80% reduction) for instructors and academic teams.

    • Enhanced trust through transparent, explainable risk insights with confidence levels and drivers.

    • Improved decision-making with real-time visibility into student performance across courses and cohorts.

    • Role-based access control and auditability to ensure compliance with educational policies.

    Ideal Users / Organizations:

    The Learning Analytics Agent is ideal for universities, colleges, schools, online learning platforms, and corporate learning & development (L&D) teams. It is designed for educators, academic operations teams, and administrators who need real-time insights into student performance and engagement. This solution is perfect for institutions looking to modernize their student success programs, reduce dropout rates, and optimize learning outcomes using a secure, scalable, AWS-native multi-agent AI platform.

    Highlights

    • Provides actionable, real-time analytics on student engagement, progress, and risk factors, allowing for early intervention.
    • Natural-language analytics copilot enables educators to ask questions, drill down, and generate insights with ease.
    • Automated, policy-compliant intervention workflows that ensure timely, measurable actions for student success.

    Details

    Delivery method

    Deployed on AWS
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