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)?