The Institute of Technical Education (ITE), Singapore, developed Artificial Intelligence-assisted Mechanical Computer-Aided Machining (AMCAM) to reshape how learners understand CNC machining. The system blends real machines, real data, and AI agents that work alongside students. It turns a complex machining task into a guided, intelligent learning journey.

This project began as part of the AI-First Blueprint, developed within the School of Engineering at ITE. The blueprint shifts education from skills-first training to systems thinking. The intent was simple: build hybrid intelligence. In this model, humans and AI share the work. AI acts as a co-worker. Students stay in the loop. They make decisions. They learn to question AI outputs, test ideas, and understand why a cut succeeds or fails. This partnership accelerates skill mastery and builds confidence.

AMCAM uses five specialised AI agents. One learns from calibration cuts and builds a digital twin. One predicts how a chosen feed-rate or depth of cut will behave. One optimises parameters. One monitors the machine using real-time sensors. One analyses results and guides the learner’s next step. Each agent plays a simple role. Together, they create a complete decision loop.

This approach makes CNC learning transparent. Learners no longer guess why vibration rises or why surface finish changes. They see patterns in real time. They adjust early. They think like system innovators, not just machine operators.

Industry benefits too. Predictive alerts reduce downtime. Optimised parameters improve quality. Real-time guidance reduces material waste. These improvements support Industry 4.0 and Industry 5.0 goals. Companies gain graduates who can work confidently with intelligent systems.

AMCAM grew from years of innovation at ITE. It began with deeper learning research and evolved into machining analytics. In addition, it matured into a complete human-AI co-working model aligned with national talent needs. It now supports certificates, staff upskilling, and industry projects.

Winning the Learning Technologies Gold Award reinforces a clear message: AI does not replace skill, as it strengthens it. When learners co-create with AI, they build sharper judgment, deeper understanding, and more substantial confidence. AMCAM shows how vocational education can become adaptive, innovative, and truly future-ready.

Lim See Yew, Andrew Yeo and Ramanath S H