Bloom’s Taxonomy Authentic Performance Task Blueprint

Design an authentic performance task aligned to outcomes and appropriate cognitive demand, with real-world context, evidence, constraints, rubric criteria, scaffolds, and transfer.

Professional Prompt Template

Bloom’s Taxonomy Authentic Performance Task Blueprint

Design an authentic performance task aligned to outcomes and appropriate cognitive demand, with real-world context, evidence, constraints, rubric criteria, scaffolds, and transfer.

Best suited for: ChatGPT Claude Gemini
💬
Ready to Use

Complete Prompt

🪄 Prompt Playground

This prompt has variables that can be replaced with your own information. Copy and use it with your preferred LLM, or try it out in the LearnerBox Prompt Playground.

Act as an experienced assessment designer specializing in authentic performance tasks and Bloom’s taxonomy.

Develop a performance task using the information below.

Learner level and discipline:
{{learner_context}}

Learning outcomes:
{{learning_outcomes}}

Target cognitive processes:
{{cognitive_targets}}

Authentic context:
{{authentic_context}}

Time and resources:
{{time_resources}}

Assessment constraints:
{{assessment_constraints}}

Design requirements:

1. Analyze the learning outcomes and identify the intended cognitive demand.
2. Use Bloom’s taxonomy as a planning aid, not a rigid hierarchy or substitute for disciplinary judgment.
3. Design an authentic task requiring learners to apply knowledge in a meaningful context.
4. Define:
   - goal;
   - role;
   - audience;
   - situation;
   - product or performance; and
   - success criteria.
5. Ensure the task elicits direct evidence of the learning outcomes.
6. Avoid adding unnecessary complexity, technology, reading, or production demands unrelated to the intended learning.
7. Include realistic constraints, incomplete information, or decision trade-offs where appropriate.
8. Identify prerequisite knowledge and skills.
9. Design checkpoints and formative feedback opportunities.
10. Create a rubric with observable criteria aligned to outcomes.
11. Distinguish content quality, process, reasoning, communication, and reflection where relevant.
12. Include accessibility and alternative-expression options that preserve the same construct.
13. Add a learner reflection on strategy, decisions, feedback, and transfer.
14. Identify likely risks to validity, reliability, fairness, and academic integrity.
15. Do not invent professional standards, resources, data, or workplace authority.
16. Flag tasks requiring safety, ethics, community, or external approval.

Present the result as:
{{output_format}}

Include:
- outcome and cognitive-demand analysis;
- authentic task scenario;
- learner brief;
- required product or performance;
- constraints and resources;
- milestones;
- formative checkpoints;
- rubric;
- accessibility options;
- reflection prompts;
- validity and fairness checks; and
- assessor guidance.
Personalize the Template

Customization Variables

Replace each variable shown in double curly brackets with accurate information from your own professional context.

{{learner_context}}

Learner Level and Discipline

Required

Example: Example: Final-year undergraduate nursing students

Identify learner level and disciplinary context.

{{learning_outcomes}}

Learning Outcomes

Required

Example: Paste the outcomes to be assessed.

The task and rubric should directly measure these outcomes.

{{cognitive_targets}}

Target Cognitive Processes

Required

Example: Example: Analyze, evaluate, and create

State the intended level and type of thinking.

{{authentic_context}}

Authentic Context

Required

Example: Describe the workplace, community, disciplinary, or real-world setting.

The context should make the performance meaningful.

{{time_resources}}

Time and Resources

Required

Example: Provide duration, collaboration rules, data, tools, references, and support.

The task must be feasible within available conditions.

{{assessment_constraints}}

Assessment Constraints

Optional

Example: Provide grading weight, submission mode, group or individual rules, accessibility, integrity, and approval requirements.

Use actual assessment rules and constraints.

{{output_format}}

Output Format

Required

Choose the format needed for assessment design or approval.

Complete performance task blueprint Student task brief and rubric Assessment approval document Faculty design guide
What the AI Should Produce

Expected Output

🎯

An aligned authentic performance assessment containing cognitive-demand analysis, realistic task context, learner brief, evidence requirements, milestones, rubric, accessibility options, reflection, validity checks, and assessor guidance.

💡 Important: The quality of the result depends on the completeness, accuracy, and relevance of the information supplied to the AI.
Prompt Profile

Prompt Characteristics

These characteristics describe the type of thinking, customization, and output structure involved in using this prompt effectively.

🧠 Reasoning Depth High
💡 Creativity High
🛠 Customization High
📚 Output Structure Highly Structured
🎓 Experience Level Intermediate
Learn Why It Works

Prompt Anatomy

This breakdown explains how the prompt’s major components work together to guide the AI toward a useful, reliable, and well-structured response.

💼

Role

Positions the AI as an authentic assessment and Bloom’s taxonomy specialist.

📄

Context

Defines learners, outcomes, cognitive targets, context, resources, and constraints.

🎯

Task

Requires a complete authentic performance task and aligned rubric.

🛡️

Constraints

Prevents construct-irrelevant difficulty, invented standards, and unsupported external authority.

📚

Output Structure

Requires analysis, scenario, brief, checkpoints, rubric, accessibility, reflection, and quality checks.

🔑

Input Variables

Learners, outcomes, cognition, context, resources, constraints, and output format.

Improve the Result

Customization Tips

  1. Start from the outcome rather than an interesting activity.
  2. Keep irrelevant writing, technology, or presentation demands out of the task.
  3. Use a rubric with observable evidence rather than vague quality labels.
  4. Build checkpoints before the final submission.
  5. Review whether alternative formats preserve the same assessed construct.
🛡️
Responsible Professional Use

Review Before Applying the Output

AI-generated responses can contain errors, omissions, unsupported assumptions, outdated information, or recommendations that do not reflect your jurisdiction or professional context.

Verify calculations, evidence, regulations, standards, policies, and professional recommendations before relying on the result. The qualified professional remains responsible for the final decision.

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