A CEFR-Inspired Classification Framework with Fuzzy C-Means To Automate Assessment of Programming Skills in Scratch
Context: Schools, training platforms, and technology firms increasingly need to assess programming proficiency at scale with transparent, reproducible methods that support personalized learning pathways. Objective: This study introduces a pedagogical framework for Scratch project assessment, aligned with the Common European Framework of Reference (CEFR), providing universal competency levels for students and teachers alongside actionable insights for curriculum design. Method: We apply Fuzzy C-M
Record details
Published: 1 April 2026
Source: arXiv
Category: Research
Topics: Children & education · Transparency
Retrieved: 14 July 2026
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ethics.ai (1 April 2026), “A CEFR-Inspired Classification Framework with Fuzzy C-Means To Automate Assessment of Programming Skills in Scratch,” evidence record 6499, https://ethics.ai/record/6499 (originally published by arXiv).
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