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Computational Thinking Development in AI Agent Creation: A Mixed-Methods Study

● high · 2026-05-15k-12, ai-literacy, stem-education, scaffolding, personalized-learning, k-12-ai-education, computational-thinking, metacognition, ai-education

Computational Thinking Development in AI Agent Creation: A Mixed-Methods Study Sun et al. (2026) — Multiple institutions. arXiv cs.CY.

Computational Thinking Development in AI Agent Creation: A Mixed-Methods Study

Summary

This mixed-methods study examines how 93 pre-high school students develop Computational Thinking skills through a five-day AI agent creation workshop using CocoFlow, a no-code platform. The study integrates pre-post assessments, behavioral logs, and interviews to trace learning trajectories.

Key quantitative findings:

  • Abstract thinking: significant improvement (d = 0.71)
  • Algorithmic thinking: significant improvement (d = 0.70)
  • Iterative testing engagement predicted self-efficacy gains (β = 0.20, p = 0.05)

    • The Optimal Development Zone effect (η² = 0.55): Students with moderate initial CT levels showed substantially greater gains than both high-CT and low-CT peers. Qualitative analysis revealed why:

  • Moderate-CT students exhibited adaptive expertise — flexible, effective problem-solving
  • High-CT students risked over-engineering — creating unnecessarily complex solutions
  • Low-CT students struggled with task decomposition — breaking problems into manageable parts

    • These findings challenge linear learning assumptions in K 12 AI Education and provide direct evidence for differentiated scaffolding in CT education. The Optimal Development Zone concept parallels AI Metacognition STEM Review findings on tailoring AI support to student readiness. The study also contributes to the AI Literacy evidence base by showing that no-code AI agent creation platforms can effectively develop CT in young learners, complementing work on Agentic Education Coding with older students using coding assistants.

    Connected Concepts

  • Computational Thinking
  • K 12 AI Education
  • AI Literacy

    • Connected Articles

  • AI Metacognition STEM Review
  • Agentic Education Coding

    • Citation

    Sun, Y., Xin, H., Niu, Q., Li, S., Huang, L., & Chen, G. (2026). Computational thinking development in AI agent creation: A mixed-methods study. arXiv:2605.14330.