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Digital Skills

Problem Solving (Tier 3)

Advanced problem solving: computational thinking, AI concepts, and ethical technology use.

Overview

Tier 3 covers advanced concepts: computational thinking (decomposition, pattern recognition, abstraction, algorithms), basic AI and machine learning concepts, ethical implications of technology choices, and innovative problem-solving approaches.

What is tested

  • Computational thinking: decomposition, abstraction, pattern recognition
  • AI and machine learning concepts at a conceptual level
  • Ethical implications of technology decisions
  • Innovation and creative technology application

Preparation tips

  • Decomposition = breaking big problems into smaller parts; abstraction = ignoring irrelevant details
  • Machine learning: supervised (labeled data), unsupervised (pattern finding), reinforcement (trial and error)
  • AI bias comes from biased training data — the algorithm reflects its inputs
  • The EU AI Act classifies AI systems by risk: unacceptable, high, limited, minimal

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Digital Skills questions are based on the EU DigComp 3.0 framework. Our Digital Skills Database covers all 5 competence areas across 3 difficulty tiers with structured learning paths.

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