This Project Grant from the National Science Foundation's Division of Undergraduate Education will provide $322,854 to develop a machine learning-based rapid feedback system for hands-on cybersecurity exercises. Funded under the STEM Education program (CFDA 47.076), the award will support creating and testing reinforcement learning models to monitor students completing cyber exercises on platforms like Edurange. When students become stuck or frustrated, the system will automatically provide helpful hints. The project will collect interaction data to develop new hints and evaluate the tool's effectiveness over the three-year period ending May 2025. By using artificial intelligence to provide timely guidance, this project aims to improve STEM education outcomes for all students through more engaging cybersecurity training experiences.
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