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📄 Research Article

CogTax: A Four-Level Cognitive Taxonomy for Command-Line Computing Education

◐ medium · 2026-07-02llm, formative-assessment, stem-education, scaffolding, higher-ed, llm-in-education, rag

Manuel Alonso-Carracedo, Ruben Fernandez-Boullon, Pedro Celard, Francisco J. Rodriguez-Martinez, Lorena Otero-Cerdeira — Universidade de Vigo, submitted 30 Jun 2026

Manuel Alonso-Carracedo, Ruben Fernandez-Boullon, Pedro Celard, Francisco J. Rodriguez-Martinez, Lorena Otero-Cerdeira — Universidade de Vigo, submitted 30 Jun 2026

Proposes CogTax, a four-level cognitive taxonomy for command-line computing education that integrates Bloom's Revised Taxonomy with operational impact dimensions, achieving 89% accuracy in automated classification.

Key Contributions

  • Proposes CogTax, a four-level cognitive taxonomy for command-line computing education that integrates Bloom's Revised Taxonomy with operational impact dimensions, achieving 89% accuracy in automated classification.

    • Connections to AI in Education

    This paper contributes to the growing body of research on AI applications in educational settings, specifically in the domains of AI Education, Intelligent Tutoring, and Equity. The findings have implications for how educators design learning experiences that leverage AI while maintaining appropriate pedagogical oversight.

    Connected Concepts

  • AI Education
  • Intelligent Tutoring
  • Equity

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    • Citation

    Manuel Alonso-Carracedo, Ruben Fernandez-Boullon, Pedro Celard, Francisco J. Rodriguez-Martinez, Lorena Otero-Cerdeira (2026). CogTax: A Four-Level Cognitive Taxonomy for Command-Line Computing Education. arXiv:2607.00140. Universidade de Vigo, submitted 30 Jun 2026