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Generative AI-enhanced learning experiences for computational thinking: A systematic scoping review and design guidelines

● high · 2026-08-10generative-ai, higher-ed, computational-thinking, ai-tutoring, systematic-review, design-guidelines, ai-education

Synthesis: This systematic scoping review examines the use of GenAI to support the teaching of computational thinking skills. Results reveal a young but rapidly growing research field, with most interventions focusing on undergraduate students and basic programming tasks. GenAI is typically used as a coder, tutor, debugger, or ideator, with mixed effects on learning outcomes. A key challenge is the tension between overreliance by beginners and under-utilization by advanced learners. Seven design guidelines are derived to effectively integrate GenAI for CT while minimizing risks.

Key Findings

This systematic scoping review examines the use of GenAI to support the teaching of computational thinking skills. Results reveal a young but rapidly growing research field, with most interventions focusing on undergraduate students and basic programming tasks. GenAI is typically used as a coder, tutor, debugger, or ideator, with mixed effects on learning outcomes. A key challenge is the tension between overreliance by beginners and under-utilization by advanced learners. Seven design guidelines are derived to effectively integrate GenAI for CT while minimizing risks.

Connected Concepts

  • Generative AI
  • Computational Thinking

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    • Citation

    Ouaazki, A., Shibani, A., Knight, S., & Holzer, A. (2026). Generative AI-enhanced learning experiences for computational thinking: A systematic scoping review and design guidelines. Computers and Education: Artificial Intelligence.