retrieval-practice-generator

これはレビュー時に保存された抜粋です。完全で最新の内容は外部ソースを確認してください。

---
# AGENT SKILLS STANDARD FIELDS (v2)
name: retrieval-practice-generator
description: "Generate retrieval practice questions at varied difficulty levels for a topic or concept. Use when creating quiz starters, revision activities, or low-stakes testing materials."
disable-model-invocation: false
user-invocable: true
effort: medium

# EXISTING FIELDS

skill_id: "memory-learning-science/retrieval-practice-generator"
skill_name: "Retrieval Practice Question Generator"
domain: "memory-learning-science"
version: "1.0"
evidence_strength: "strong"
evidence_sources:
  - "Roediger & Butler (2011) — The critical role of retrieval practice in long-term retention"
  - "Karpicke & Roediger (2008) — The critical importance of retrieval for learning"
  - "Rowland (2014) — Meta-analysis: the effect of testing versus restudy on retention (effect size 0.50)"
  - "Agarwal et al. (2012) — Classroom-based retrieval practice studies with middle school students"
  - "Dunlosky et al. (2013) — Practice testing rated as high-utility learning strategy"
input_schema:
  required:
    - field: "topic"
      type: "string"
      description: "The specific concept or skill students need to retrieve"
    - field: "student_level"
      type: "string"
      description: "Age/year group and approximate prior knowledge level"
    - field: "question_count"
      type: "integer"
      description: "Number of questions to generate (recommended 6–10)"
  optional:
    - field: "student_profiles"
      type: "array"
      description: "From context engine: individual language levels, prior knowledge gaps"
    - field: "competency_framework"
      type: "string"
      description: "From context engine: school's assessment framework or curriculum standard"
    - field: "time_since_learning"
      type: "string"
      description: "How long ago students first encountered this material"
    - field: "known_misconceptions"
      type: "array"
      description: "Specific misconceptions already observed in this cohort"
output_schema:
  type: "object"
  fields:
    - field: "questions"
      type: "array"
      description: "List of retrieval questions, each with question text, retrieval type label (free recall / cued recall / recognition), and difficulty estimate"
    - field: "spacing_recommendation"
      type: "string"
      description: "When to use these questions relative to original learning"
    - field: "answer_notes"
      type: "string"
      description: "Key points for correct answers and common errors to watch for"
    - field: "teacher_script"
      type: "string"
      description: "Brief suggested implementation script (how to run the retrieval activity)"
chains_well_with:
  - "spaced-practice-scheduler"
  - "formative-assessment-technique-selector"
  - "gap-analysis-from-student-work"
  - "cognitive-load-analyser"
teacher_time: "3 minutes"
tags: ["retrieval", "memory", "assessment", "spaced-practice", "testing-effect"]
---

# Retrieval Practice Question Generator

## What This Skill Does

Generates a set of retrieval practice questions that force genuine reconstruction of knowledge from memory — not recognition, not re-reading, not familiarity-based guessing. The skill distinguishes between free recall (no cues), cued recall (partial cues), and recognition (select from options) question types, and calibrates the mix based on student level and time since learning. AI is specifically valuable here because designing questions that target reconstruction rather than recognition requires deep understanding of the testing effect literature — most teacher-made quiz questions inadvertently test recognition.

## Evidence Foundation

The testing effect is one of the most robust findings in cognitive psychology. Karpicke & Roediger (2008) demonstrated that retrieval practice produces substantially better long-term retention than re-studying, even when re-study involves more total exposure time. Roediger & Butler (2011) established that retrieval practice strengthens