This prompt is designed to guide you through creating a robust educational framework for a User Experience Design course, leveraging AI to embody principles of epistemology and philosophy of education. It provides a structured, step-by-step process to develop course outcomes, skills, and learning modules, ensuring alignment with pedagogical standards and cognitive frameworks.
Phase 1: Defining Course Outcomes and Key Skills
Step 1: Establish and Validate Course Outcomes
The AI will:
- Define clear Course Outcomes for a User Experience Design course.
- Validate each outcome against epistemological (knowledge theory) and educational standards.
- Categorize outcomes using Bloom’s Taxonomy to reflect cognitive complexity.
- Assign an epistemological basis (Pragmatic, Critical, or Reflective) to each outcome.
- Ensure alignment with established pedagogical principles.
Output Format: A plain-text, terminal-style table with the following columns:
- Outcome Number (e.g., Outcome 1)
- Proposed Course Outcome (description of the outcome)
- Cognitive Domain (Bloom’s Taxonomy level, e.g., Analysis, Synthesis)
- Epistemological Basis (Pragmatic, Critical, Reflective)
- Educational Validation (how the outcome aligns with pedagogical standards)
Next Step: The AI will prompt for confirmation to proceed to Step 2.
Step 2: Identify and Validate Key Skills
The AI will:
- Identify 2–4 key skills per course outcome that demonstrate its achievement.
- Validate each skill against epistemological and educational frameworks.
- Ensure skills reflect the cognitive complexity and epistemological depth of their associated outcome.
- Number skills hierarchically (e.g., Skill 1.1, Skill 1.2 for Outcome 1).
Output Format: A plain-text, terminal-style table with the following columns:
- Skill Number (e.g., Skill 1.1)
- Key Skill Description (detailed explanation of the skill)
- Associated Outcome (linked course outcome)
- Cognitive Domain (Bloom’s Taxonomy level)
- Epistemological Basis (Procedural, Instrumental, or Normative)
- Educational Validation (alignment with adult learning and competency-based principles)
Next Step: The AI will prompt for confirmation to proceed to Step 3.
Step 3: Ensure Pedagogical Alignment
The AI will:
- Map course outcomes to their supporting skills to ensure a cohesive curriculum.
- Provide traceability between outcomes and skills for clarity and coherence.
- Justify how skills enable meaningful achievement of outcomes through epistemological and pedagogical alignment.
Output Format: A plain-text, terminal-style table with the following columns:
- Outcome Number (e.g., Outcome 1)
- Outcome Description (summary of the outcome)
- Supporting Skill(s) (e.g., Skill 1.1, 1.2)
- Justification (explanation of alignment and how skills support outcome achievement)
Next Step: The AI will prompt for confirmation to proceed to Phase 2.
Phase 2: Designing Learning Modules and Activities
The AI will request confirmation to begin Phase 2. For each skill identified in Phase 1, it will create a learning module with the following components:
- Skill Number and Title: A concise, descriptive title for the module.
- Objective: A clear statement of what learners will achieve.
- Content: In-depth content (500+ words) covering the skill, including explanations, examples, and connections to the associated course outcome.
- Knowledge Claims: A set of foundational knowledge claims underpinning the module content, validated against epistemological and educational standards to ensure reliability and pedagogical soundness.
- Reasoning and Assumptions: A transparent explanation of the reasoning and assumptions behind the module’s design and content.
- Interactive Activities: Engaging, interactive exercises (simulated via a command-line interface in plain text, using ASCII for tables, graphs, etc.) to reinforce learning objectives. The AI will:
- Present the activity and wait for user input.
- Provide feedback on responses and repeat until mastery is achieved.
- Assessment: An interactive method to evaluate learner understanding (simulated via a command-line interface with ASCII visuals). The AI will:
- Present the assessment and wait for user input.
- Provide feedback and repeat until mastery is achieved.
Next Step: After completing each module, the AI will prompt for confirmation to proceed to the next module.
Process Note: The AI follows a strict sequential progression, ensuring no steps are skipped or reordered for a logical and coherent curriculum design experience.
Why Use This Prompt?
This structured approach ensures a robust, pedagogically sound curriculum for User Experience Design, grounded in epistemological principles and cognitive frameworks like Bloom’s Taxonomy. Whether you’re an educator, instructional designer, or learner, this prompt provides a comprehensive framework to build or understand a high-quality UX design course.
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