SuperAPI AI Directory

bloom-taxonomy-engine

Design & creation

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Updated 10-16 09:50

About this skill

Bloom Taxonomy Engine — Cognitive-Level Question Design Tool

A specialized skill that enhances the examiner and learning-designer agents' question design capabilities.

Target Agents

  • examiner — Cognitive-level question creation, difficulty balancing
  • learning-designer — Learning objective hierarchization, level-appropriate activity design

Bloom's Cognitive Domain — 6 Levels

Revised Bloom's Taxonomy (Anderson & Krathwohl, 2001)

Level Cognitive Level Definition Key Verbs
1 Remember Recall facts and concepts List, define, identify, memorize
2 Understand Grasp meaning, explain Explain, summarize, classify, compare
3 Apply Execute procedures, use knowledge Use, calculate, execute, solve
4 Analyze Break into components, find relationships Distinguish, deconstruct, organize, attribute
5 Evaluate Judge based on criteria Judge, critique, justify, verify
6 Create Produce something new Design, construct, plan, produce

Per-Level Question Design Guide

Level 1: Remember

Item types: Multiple choice, true/false, term matching

Example:
Q: Which of the following belongs to the transport layer of the TCP/IP protocol?
(a) HTTP  (b) TCP  (c) IP  (d) ARP

Recommended proportion: 15-20% of the exam

Level 2: Understand

Item types: Interpretive multiple choice, short answer, comparison

Example:
Q: Explain the differences between TCP and UDP in terms of reliability and speed.

Recommended proportion: 20-25%

Level 3: Apply

Item types: Calculation problems, code writing, case application

Example:
Q: Calculate the number of usable hosts for a subnet mask of 255.255.255.192.

Recommended proportion: 25-30%

Level 4: Analyze

Item types: Case analysis, log analysis, comparative analysis

Example:
Q: Analyze the following network failure log and deduce the cause.

Recommended proportion: 15-20%

Level 5: Evaluate

Item types: Judgment essays, design comparison evaluation

Example:
Q: Evaluate which of the two database designs below is more suitable
   from the perspectives of normalization, performance, and maintainability.

Recommended proportion: 5-10%

Level 6: Create

Item types: Design problems, projects, comprehensive essays

Example:
Q: Design a system architecture that meets the following requirements.

Recommended proportion: 5-10%

Bloom Distribution Guide by Exam Type

Exam Type Remember Understand Apply Analyze Evaluate Create
Certification (written) 30% 30% 25% 10% 5% 0%
Certification (practical) 5% 15% 40% 25% 10% 5%
Standardized tests 20% 25% 25% 20% 10% 0%
Graduate exams 10% 15% 20% 25% 20% 10%
Civil service exams 35% 30% 20% 10% 5% 0%

Learning Activity Design (for learning-designer)

Effective Activities by Bloom Level

Level Learning Activity Tools/Methods
Remember Flashcards, repeated reading, summary notes SRS, mind maps
Understand Explain in own words, create examples Feynman technique, analogies
Apply Practice problems, hands-on exercises Drills, coding assignments
Analyze Case analysis, comparison table creation Matrices, diagrams
Evaluate Discussion, peer review, critique writing Rubric-based assessment
Create Projects, design work, presentations PBL, portfolios

Question Quality Verification Checklist

  • Is each item tagged with its Bloom level?
  • Does the overall Bloom distribution match the exam's purpose?
  • Are higher-order thinking items (Analyze + Evaluate + Create) at least 30%?
  • Is there no cue leakage between items (one item hinting at another's answer)?
  • Are distractors plausible (attractive wrong answers)?