A CEFR-Inspired Classification Framework with Fuzzy C-Means To Automate Assessment of Programming Skills in Scratch
Researchers have developed a new framework to automatically assess programming skills in Scratch, a visual programming language. This framework is inspired by the Common European Framework of Reference for Languages (CEFR) and uses fuzzy C-means clustering to categorize projects into proficiency levels from A1 to C2. The system was trained on over 200,000 Scratch projects and identified a significant bottleneck at the B2 level, where learners struggle with integrating logic synchronization and data representation concepts. AI
IMPACT This framework could enable more scalable and objective assessment of programming skills, potentially improving educational tools and personalized learning pathways.