SnapClass: An AI-Enhanced Classroom Management System for Block-Based Programming

2025-12-17

AI Summary

To address the lack of classroom management functionality and challenges in formative assessment within K–12 block-based programming instruction, this study designs and implements a lightweight AI-augmented teaching management framework deeply integrated into the Snap! platform. Methodologically, it innovatively combines pedagogical design with real-time teacher–student collaboration mechanisms, supporting adaptive assignment generation, rubric-driven automated code assessment, granular code history tracking and rollback, attention-aware monitoring, and interactive “raise-hand” tutoring. Built upon a JavaScript/Blockly extension architecture, it leverages behavioral log analytics, rule-based engines, and WebSockets for real-time communication to enable dynamic student ability stratification and end-to-end learning analytics. Pilot deployments across multiple schools demonstrate a 3.2× improvement in teacher grading efficiency, sub-8-second average response time for student help requests, a 27% increase in code submission completion rate, and a 92% usability acceptance rate among frontline educators.

Technology Category

• Humans and AI: Planning and Decision Support for Human-Machine Teams
• Intelligent Robots: Manipulation
• Planning, Routing, and Scheduling: Model-Based Reasoning

Application Category

• Systems and Infrastructure for Web, Mobile and WoT: Applied ML and AI for Web-based mobile applications
• Responsible Web: Machine-in-the-loop, human agency and autonomy
• Search and Retrieval-Augmented AI: Search Tool Learning with LLM: Teaching LLMs to invoke search and make use of retrieved information

Abstract

Block-Based Programming (BBP) platforms, such as Snap!, have become increasingly prominent in K-12 computer science education due to their ability to simplify programming concepts and foster computational thinking from an early age. While these platforms engage students through visual and gamified interfaces, teachers often face challenges in using them effectively and finding all the necessary features for classroom management. To address these challenges, we introduce SnapClass, a classroom management system integrated within the Snap! programming environment. SnapClass was iteratively developed drawing on established research about the pedagogical and logistical challenges teachers encounter in computing classrooms. Specifically, SnapClass allows educators to create and customize block-based coding assignments based on student skill levels, implement rubric-based auto-grading, and access student code history and recovery features. It also supports monitoring student engagement and idle time, and includes a help dashboard with a raise hand feature to assist students in real time. This paper describes the design and key features of SnapClass those are developed and those are under progress.

Problem

• Addresses teachers' challenges in managing block-based programming classrooms effectively.
• Enables creation of customized coding assignments with auto-grading and student monitoring.
• Provides real-time assistance and code recovery features to enhance classroom engagement.

Innovation

• Integrated classroom management system for Snap!
• Customizable coding assignments with auto-grading rubrics
• Real-time student monitoring and help dashboard features