Students in STEM education are increasingly required to develop advanced computational thinking and problem-solving skills, yet many university learners remain underprepared for modern workforce demands. This gap is especially visible in technical fields such as robotics programming, where traditional teaching methods often fail to fully engage students or build higher-order thinking abilities.
A new AI-supported problem-based learning approach is showing strong potential in addressing this challenge. In this method, artificial intelligence tools are integrated into classroom instruction to guide students through structured problem-solving tasks, offering adaptive support similar to a virtual learning assistant. This helps students better understand complex programming concepts while actively applying knowledge in practical scenarios.
Findings indicate that students using AI-enhanced learning methods perform better in both computational thinking and academic achievement compared to those in conventional learning environments. The approach is also effective across different student groups, supporting inclusive skill development.
The results highlight growing interest in integrating AI into education systems to improve learning outcomes and better prepare students for future technology-driven careers.
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