Can it generate graphs for the math problems?

Yes, the skill includes a decision tree for choosing between native R/ggplot2, TikZ (LaTeX), or Python (via reticulate) to generate technical illustrations.

Does this skill require an R environment?

Yes, to fully utilize this skill, you need R (>= 4.0) installed along with tinytex and the 'exams' and 'tidyverse' packages for validation and rendering.

How does it handle incorrect answer options (distractors)?

The skill avoids random numbers; instead, it defines a 'pool of conceptual errors' where distractors are calculated based on common student misconceptions (e.g., confusing area with perimeter).

What is a metacognitive exercise in this context?

It is a question designed to go beyond rote calculation, requiring students to analyze a fictional peer's error, evaluate the validity of a mathematical statement, or compare different solution procedures.

Metacognitive R-Exams Generator

Name: Metacognitive R-Exams Generator
Author: alvaretto

byalvaretto

•

Learning & Documentation

Generates pedagogically advanced single-choice math exercises for R-exams using progressive disclosure and conceptual error analysis.

This skill automates the creation of high-quality, standardized mathematics exercises following the Colombian Saber ICFES framework. It specializes in 'schoice' (single choice) formats that incorporate metacognitive patterns such as peer error analysis, statement evaluation, and procedural comparison. By leveraging the R-exams environment, it ensures every generated item includes a pool of mathematically derived distractors based on common misconceptions, detailed solutions with root-cause diagnostics, and metadata for cognitive taxonomies like DOK, Bloom, and SOLO.

Key Features

011 GitHub stars

02Strict adherence to ICFES math competencies and nomenclature standards

03Dynamic pool generation for conceptual errors and realistic distractors

04Automated generation of .Rmd exercises with metacognitive patterns

05Support for graphical content via R/ggplot2, TikZ, or Python

06Validation scripts for R-exams rendering (HTML, PDF, DOCX, NOPS)

Use Cases

01Automating the workflow from ICFES analysis to production-ready R-exams files

02Creating large-scale question banks for standardized math assessments

03Developing educational content that promotes critical thinking through error analysis

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add alvaretto/proyecto-r-exams-icfes-matematicas-optimizado generar-schoice

For use in Claude.ai and ChatGPT

Download Skill

Key Features

011 GitHub stars

02Strict adherence to ICFES math competencies and nomenclature standards

03Dynamic pool generation for conceptual errors and realistic distractors

04Automated generation of .Rmd exercises with metacognitive patterns

05Support for graphical content via R/ggplot2, TikZ, or Python

06Validation scripts for R-exams rendering (HTML, PDF, DOCX, NOPS)

Use Cases

01Automating the workflow from ICFES analysis to production-ready R-exams files

02Creating large-scale question banks for standardized math assessments

03Developing educational content that promotes critical thinking through error analysis

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add alvaretto/proyecto-r-exams-icfes-matematicas-optimizado generar-schoice

For use in Claude.ai and ChatGPT

Download Skill