---
name: learning-objectives-writing
description: Write measurable, SMART learning objectives using Bloom's Taxonomy cognitive levels aligned with desired outcomes and assessment strategies
allowed-tools: Read, Grep, Write, Edit, Glob
graph:
  domains: [domain:education]
  specializations: [specialization:instructional-design]
  skillAreas: [skill-area:learning-development, skill-area:tutorial-design, skill-area:technical-writing]
  workflows: [workflow:peer-review-cycle]
  roles: [role:technical-writer, role:product-manager]
---

# Learning Objectives Writing

Write measurable, SMART learning objectives using Bloom's Taxonomy cognitive levels aligned with desired outcomes and assessment strategies.

## Overview

This skill enables the creation of clear, measurable learning objectives that guide instructional design and assessment. It encompasses application of Bloom's Taxonomy, SMART criteria, and alignment with assessment strategies to ensure effective learning outcome specification.

## Capabilities

### Bloom's Taxonomy Application
- Apply cognitive domain levels appropriately
- Use action verbs matched to cognitive levels
- Sequence objectives by complexity
- Address affective and psychomotor domains
- Align objectives with assessment methods

### SMART Criteria
- Write Specific objectives
- Ensure Measurability
- Verify Achievability
- Confirm Relevance
- Define Time-bound expectations

### Alignment Strategies
- Link objectives to organizational goals
- Connect to assessment methods
- Sequence within curriculum
- Map to competency frameworks
- Ensure instructional alignment

### Documentation
- Format objectives consistently
- Organize by module or unit
- Include conditions and criteria
- Document alignment rationale
- Create objective hierarchies

## Usage Guidelines

### Writing Process
1. Identify desired performance outcomes
2. Determine appropriate cognitive level
3. Select measurable action verbs
4. Specify conditions and criteria
5. Verify SMART criteria
6. Validate alignment

### Action Verb Selection
- Remember: list, define, recall, identify
- Understand: explain, summarize, interpret
- Apply: demonstrate, implement, use
- Analyze: compare, differentiate, examine
- Evaluate: critique, assess, judge
- Create: design, develop, construct

### Quality Criteria
- One behavior per objective
- Observable and measurable
- Learner-centered focus
- Appropriate level of challenge
- Clear conditions and standards

## Integration Points

### Related Processes
- ADDIE Model Implementation
- Backward Design
- Bloom's Taxonomy Application

### Collaborating Skills
- learning-needs-analysis
- assessment-item-development
- rubric-design-validation

## References

- Bloom's Revised Taxonomy (Anderson and Krathwohl)
- Mager's instructional objectives
- SMART goals framework
- Backward design principles


---
Source attribution: a5c-ai
Original project: https://github.com/a5c-ai/babysitter/blob/feb68abe397acc14f32b34984975c48fedba2b33/library/specializations/domains/social-sciences-humanities/education/skills/learning-objectives-writing/SKILL.md
License: MIT
License information: https://opensource.org/license/mit
Original upstream instructions; downloaded from Mega AI Hub.

## Upstream license notice

# MIT License

Copyright (c) 2025 A5C AI

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.



# Mega AI Hub resource metadata

Creator / publisher: a5c-ai
Original project: https://github.com/a5c-ai/babysitter/blob/feb68abe397acc14f32b34984975c48fedba2b33/library/specializations/domains/social-sciences-humanities/education/skills/learning-objectives-writing/SKILL.md
Attribution basis: Source repository record

Fields of work: Education & Research, Human Resources
Roles: Curriculum Designer, Learning & Development, Tutor / Instructor
Specialties: Specialty not specified
Tools: Tool not specified
Country applicability: Country not specified
Classification basis: Source catalog labels
Instruction SHA-256: 835e56140b25cd03fc245867c5721b740acecac6829b65fe5db9f45e04d238e9