Building an AI-Powered School Grading System with Ext JS

Educational institutions are under increasing pressure to evaluate growing numbers of student assessments while maintaining fairness, consistency, and timely feedback. Although artificial intelligence offers new opportunities to automate portions of the grading process, educators still require transparency and control before results are finalized.

At JS Days 2026, Andres Villalba, Sales Engineer at Sencha, will demonstrate how Ext JS can be used to build an AI-powered school grading system that streamlines assessment workflows while keeping teachers at the center of the evaluation process.

Session Overview

Title: Build an AI-Powered School Grading System with Ext JS Build an AI-Powered School Grading System with Ext JS
Speaker: Andres Villalba Andres Villalba
Company: Sencha Sencha
Role: Sales Engineer Sales Engineer

This technical session walks through the development of an end-to-end grading application that combines artificial intelligence with enterprise-grade web application capabilities. Attendees will see how AI can automate repetitive assessment tasks while providing educators with the tools needed to review, validate, and publish final grades with confidence.

Modernizing the Grading Process

Traditional grading workflows can be time-consuming, particularly when evaluating written or subjective responses. As class sizes grow, educators spend significant time reviewing assignments, calculating grades, and ensuring consistency across evaluations.

Modern web applications can simplify this process by combining intelligent automation with structured review workflows, allowing teachers to focus their attention where it matters most – supporting student learning.

AI-Assisted Assessment

The session demonstrates how artificial intelligence can be integrated into a grading application to evaluate subjective answers and generate preliminary scores.

Rather than replacing teacher judgment, AI serves as an assistant that accelerates the evaluation process by providing an initial assessment that educators can review before grades are finalized.

This collaborative approach improves efficiency while preserving human oversight throughout the grading process.

Building the End-to-End Workflow

Beyond automated scoring, the presentation showcases the complete grading lifecycle within a single Ext JS application.

Key capabilities include:

• Evaluating subjective student responses with AI
• Automatically scoring assignments
• Calculating final grades
• Providing teacher review and validation workflows
• Publishing approved results to students

By integrating these functions into a unified application, institutions can reduce administrative effort while maintaining consistency and transparency throughout the assessment process.

Delivering an Enterprise-Ready User Experience

Educational platforms often manage large numbers of students, assignments, and assessments simultaneously. Ext JS provides the rich interface components needed to organize this information efficiently while maintaining responsive performance.

The session demonstrates how enterprise UI patterns – including data grids, forms, workflows, and responsive layouts – can be combined to create an application that supports educators throughout the grading process.

What You’ll Learn

During this session, attendees will gain insights into:

• Building AI-powered educational applications with Ext JS
• Automating subjective answer evaluation
• Designing end-to-end grading workflows
• Calculating and managing student assessment results
• Implementing teacher review and approval processes
• Combining AI with enterprise web application architecture
• Creating efficient user interfaces for education platforms

Who Should Attend

This session is ideal for:

• Ext JS developers
• JavaScript developers
• Education technology developers
• Enterprise application developers
• Software architects
• AI application developers
• Teams building workflow-driven business applications

Why Attend

Artificial intelligence has the potential to significantly reduce the administrative burden of educational assessment, but successful implementations require thoughtful workflows that balance automation with human oversight.

This session provides a practical example of how AI and Ext JS can be combined to build a complete grading solution that improves efficiency while ensuring educators remain in control of the final evaluation process.

Whether you’re developing educational software, workflow automation platforms, or AI-powered enterprise applications, you’ll gain valuable implementation ideas that extend well beyond the classroom.

Join Andres Villalba at JS Days 2026 to explore how Ext JS and AI can be used to build a modern grading system that delivers faster assessments, streamlined workflows, and a better experience for educators.