alvaro-milc-pedagogy

Name: alvaro-milc-pedagogy
Availability: InStock
Author: alguarito

Analyze educational content against Bloom's Taxonomy, SOLO, DOK, Marzano, and ICFES criteria.

Updated Apr 24, 2026

Search Tags:#educational content #pedagogy #Bloom's Taxonomy #SOLO Taxonomy #DOK #Marzano

Ready to run

npx skills add https://github.com/alguarito/plataformaconectate --skill alvaro-milc-pedagogy

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: alvaro-milc-pedagogy
Source: https://github.com/alguarito/plataformaconectate/tree/main/.claude/skills/alvaro-milc-pedagogy
Command: npx skills add https://github.com/alguarito/plataformaconectate --skill alvaro-milc-pedagogy

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python, pandas, numpy, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides pedagogical auditing and improvement for educational materials, ensuring content aligns with Bloom's Taxonomy, SOLO Taxonomy, DOK, Marzano, and ICFES evaluation criteria.

Core Features & Use Cases

Pedagogical Audit: Analyze educational guides for coherence, autonomy, and alignment with pedagogical criteria.
Content Improvement: Enhance guides with ancestral-contemporary connections, computational thinking, and philosophical perspectives.
Use Case: Use this Skill to refine a MILC educational guide on technology, ensuring it incorporates Bloom's Taxonomy and DOK for cognitive demand assessment.

Quick Start

Apply the alvaro-milc-pedagogy skill to the provided educational guide to enhance its pedagogical quality.

Frequently Asked Questions about alvaro-milc-pedagogy

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I audit educational content for alignment with Bloom's Taxonomy and DOK?▼

To audit educational content for Bloom's Taxonomy and DOK alignment, apply a pedagogical analysis process that evaluates cognitive demand and coherence. This ensures materials meet established pedagogical criteria and ICFES evaluation standards.

What is the best way to analyze curriculum data for SOLO Taxonomy coherence?▼

Analyzing curriculum data for SOLO Taxonomy coherence involves evaluating the structural complexity of learning outcomes. This pedagogical audit identifies gaps in educational guides and enhances alignment with Marzano and ICFES evaluation criteria.

How do I improve educational guides with computational thinking and philosophical perspectives?▼

To improve educational guides with computational thinking and philosophical perspectives, apply a pedagogical enhancement process. This integrates ancestral-contemporary connections into the content while maintaining alignment with Bloom's Taxonomy and Marzano standards.

Does this pedagogical analysis require specific dependencies for processing curriculum data?▼

Yes, processing curriculum data for pedagogical analysis requires Python, pandas, and numpy dependencies. These libraries support the computational evaluation of educational content against frameworks like DOK and SOLO Taxonomy.

Can I use this approach to refine exams using ICFES evaluation criteria?▼

Yes, you can use this pedagogical analysis to refine exams using ICFES evaluation criteria. The process assesses cognitive demand through DOK and Bloom's Taxonomy to ensure exam content meets rigorous pedagogical standards.