VISMATIC: Secure Containerized Framework for Process-Oriented CS Education Monitoring

Addresses a critical tension in CS education: the widespread adoption of generative AI makes it impossible to distinguish authentic student effort from AI code synthesis by evaluating final submissions alone. The paper presents VISMATIC, a rootless containerized framework that pairs robust environment isolation with explicit user-interaction tracking at the API level.

Key innovation: VISMATIC captures macro-level behavioral metrics (keystroke patterns, command execution timing, copy-paste behavior) that successfully flag statistical anomalies indicative of automated or off-platform workflows — while preserving student anonymity. Unlike JupyterHub, which exposes the host system to arbitrary shell commands, VISMATIC's rootless containers prevent lateral movement and host compromise.

The framework provides a scalable blueprint for preserving pedagogical integrity in the AI era, enabling educators to enforce authentic coding discipline through process-oriented monitoring rather than final-output evaluation. Open source on GitHub for institutional adoption.

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Citation

Arroyo, G., López, L., & Torres, J. C. (2026). Securing the Sandbox: A Rootless Containerized Framework for Process-Oriented Monitoring in Computer Graphics Education. arXiv:2606.05929.