Manuel Alonso-Carracedo, Ruben Fernandez-Boullon, Pedro Celard, Francisco J. Rodriguez-Martinez, Lorena Otero-Cerdeira — Universidade de Vigo, submitted 30 Jun 2026 📄 Full text (arXiv)
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 llm-in-education, intelligent-tutoring-systems, and equity. The findings have implications for how educators design learning experiences that leverage AI while maintaining appropriate pedagogical oversight.
Related Pages
- scaffolding — scaffolding in computing
- formative-assessment — formative assessment tools
- student-modeling — student modeling approaches
Citation
APA: 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