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Case Study Analysis Worksheet

A worksheet for analyzing case studies

Last updated: 2025-04-03

Case Study Analysis Worksheet

Case Study Information

Case Study Title: ________________________________

Engineering Discipline: ________________________________

Course Level: ________________________________

AI Tool(s) Used: ________________________________

Taxonomy Analysis

Use the AI Integration Taxonomy to analyze this case study. For each dimension, identify where this implementation falls and what makes it effective.

1. Pedagogical Purpose Dimension

Primary purpose(s): ☐ Conceptual Understanding ☐ Skill Development ☐ Process Augmentation ☐ Content Creation ☐ Visualization & Representation

Evidence from case study:



How this purpose aligns with engineering education needs:



2. Integration Depth Dimension

Level of integration: ☐ Supplemental Resource ☐ Guided Integration ☐ Embedded Practice ☐ Transformative Redesign

Implementation approaches used:



Rationale for this level of integration:



3. Student Agency Dimension

Level of student agency: ☐ Instructor-Directed ☐ Scaffolded Autonomy ☐ Guided Exploration ☐ Full Autonomy

Approaches used to develop student agency:



How this supports student learning in engineering:



4. Assessment Alignment Dimension

Assessment approach(es): ☐ Process Documentation ☐ Comparative Analysis ☐ Critical Evaluation ☐ Meta-Learning ☐ AI-Restricted Components

Assessment strategies used:



How assessment aligns with engineering learning objectives:



5. Technical Implementation Dimension

Key technical aspects: ☐ Tool Selection ☐ Access Provision ☐ Prompt Engineering ☐ Error Management ☐ Integration Infrastructure

Notable implementation strategies:



Technical considerations specific to this engineering context:



6. Ethical & Professional Development Dimension

Ethical aspects addressed: ☐ Attribution Practices ☐ Professional Norms ☐ Critical AI Literacy ☐ Responsible Use ☐ Equity Considerations

Approaches to ethical/professional development:



Relevance to professional engineering practice:



Key Insights

Effective Integration Strategies




Implementation Decisions That Supported Success




Potential Adaptations for Different Contexts




Application to Your Context

Similar challenges in your courses:



Strategies from this case study you might adapt:



Resources you would need to implement similar approaches:



Potential barriers and how you might address them:



Group Discussion Notes

Key points from group discussion:




Different perspectives on this implementation:




Questions raised for further consideration:





This worksheet was developed as part of the "Strategies for Integrating Generative AI in Engineering Education" workshop materials.