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[workshop-sim] Improve: Add recovery scaffolding to the GitHub Actions intro labeling exercise

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Evaluación

Dificultad
2/5
Tiempo estimado
1-3 horas
Aptitud para principiantes
82/100
Tipo de issue
Documentación
Claridad
Bien especificado
Estado de actividad
Activo
Stack tecnológico
github-actions

Línea de trabajo

Comienza leyendo 04-github-actions-intro.md y localiza el ejercicio "Label a sample workflow". Revisa las actividades circundantes para avanzar al contenido siguiente y trabajar con un workflow real antes de añadir la ayuda de recuperación. Vuelve a ejecutar el simulador de estudiantes del workshop y la evaluación cuantitativa; se considera terminado cuando las actividades existentes se mantienen y las puntuaciones permanecen estables o mejoran, con menos fallos por sobrecarga de conceptos.

Escrito por el modelo de indexación a partir del texto del issue.

Descripción

feedback simulation workshop

Problem statement

04-github-actions-intro.md has both the lowest curriculum quality score in the corpus (5.39/10) and the highest raw failure count in the simulated core path (7,982 dropouts, all categorized as concept-overload). The step introduces 28 new concepts (per the rubric's new_concepts metric) with a troubleshootingSupport signal of 0 and a checkpoint_quality rubric score of 0.0/10 — learners who get lost in the trigger/job/runner/step/action vocabulary during the labeling exercise have no in-page guidance to recover, only a plain unchecked checklist at the end.

Proposed change

Add a short, structured troubleshooting/recovery aid immediately after the "Label a sample workflow" exercise — for example, a <details> block offering a worked walkthrough of one mislabeled term with an explanation of why it's that category, for learners who could not complete the exercise unaided. Do not remove the existing exercise, the "already know GitHub Actions" skip-ahead path, or the "Try it: Explore a real workflow" activity — all three already contribute positively to active_learning and should be preserved.

Failure mode classification

Learning barrier (conceptual density combined with a checkpoint_quality score of 0.0 and no recovery scaffolding — not an access/tooling issue, since this page requires no terminal or credentials).

Quantitative guardrail

Current scores for 04-github-actions-intro.md:

  • overall_score: 5.39/10 (lowest in the 30-step corpus)
  • Weakest rubric dimensions: checkpoint_quality (0.0/10), active_learning (3.9/10)
  • Learning KPI index: (2.0 × 3.9 + 2.0 × 0.0 + 1.5 × 5.0) / 5.5 = 2.78/10

The proposed recovery aid directly targets checkpoint_quality (by giving learners a way to self-verify and correct their labeling exercise) without reducing active_learning or scaffolding, since the exercise itself and its concepts remain unchanged. This should raise, not lower, the step's overall_score and learning KPI index.

Acceptance criteria

  • The shared curriculum quantitative assessment overall_score for 04-github-actions-intro.md stays flat or improves after the change
  • The step's learning KPI index (2.0 × active_learning + 2.0 × checkpoint_quality + 1.5 × scaffolding) / 5.5 stays flat or improves
  • The existing labeling exercise, skip-ahead path, and "explore a real workflow" activity are preserved or strengthened — not removed or simplified to inflate completion
  • Re-running the workshop student simulator shows a reduced concept-overload failure count at 04-actions-intro without shrinking at-risk attempts at downstream steps

Suggested owner

workshop maintainer
Related to #3962

Generated by 🔬 Workshop Student Simulator · copilot · auto · 174.2 AIC · ⌖ 8.32 AIC · ⊞ 14.8K · ◷

  • expires on Sep 30, 2026, 7:13 AM UTC
Lenguaje dominante
JavaScript
Estrellas
49
Forks
20
Merge medio
9 h 44 min
PR fusionados (30 d)
25

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