SnapClass: An AI-Enhanced Classroom Management System for Block-Based Programming
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arXiv
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| Main Authors: | , , , , , , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866917153217708032 |
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| author | Riahi, Bahare Tian, Xiaoyi Limke, Ally Storozhevykh, Viktoriia Catete, Veronica Barnes, Tiffany Lytle, Nicholas Singh, Khushbu |
| author_facet | Riahi, Bahare Tian, Xiaoyi Limke, Ally Storozhevykh, Viktoriia Catete, Veronica Barnes, Tiffany Lytle, Nicholas Singh, Khushbu |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2512_15825 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | SnapClass: An AI-Enhanced Classroom Management System for Block-Based Programming Riahi, Bahare Tian, Xiaoyi Limke, Ally Storozhevykh, Viktoriia Catete, Veronica Barnes, Tiffany Lytle, Nicholas Singh, Khushbu Computers and Society 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. |
| title | SnapClass: An AI-Enhanced Classroom Management System for Block-Based Programming |
| topic | Computers and Society |
| url | https://arxiv.org/abs/2512.15825 |