I led this initiative from a learning design perspective—applying professional methodologies to explore the instructional, technological, and emotional impact of AI-integrated STEAM projects. My responsibilities included research design, curriculum adaptation, data analysis, and strategic recommendations for future implementation. 

Learning design, like climbing, is about navigating challenge, supporting others, and growing through each step. This project tested and strengthened my design agility and resilience. 

Project Overview 

A pilot initiative integrating generative AI tools into interdisciplinary STEAM education for Years 7–10. Designed to boost student engagement, teacher collaboration, and digital innovation while reducing workload and resource barriers. 

Learning Design Goals  

• Enhance student creativity and motivation using generative AI tools.

• Support teacher collaboration via AI-assisted co-design.

• Reduce workload and increase engagement through virtual labs and digital tools.

• Apply ethical and culturally responsive frameworks in AI education.

Purpose                                                                                                     Tools

AI for planning                                                                                             ChatGPT, EduAid, Bing

Visual AI creation                                                                                        Adobe Firefly, DALL·E

Virtual labs                                                                                                  Labster, Tinkercad

Student co-creation                                                                                    Runway ML, GitHub Copilot

AR/VR                                                                                                        CoSpaces

Presentation design                                                                                   Gamma, Slide Peak

Data collection                                                                                           Google Forms, AI usage logs, student reflections

Key Data Insights

• Students showed increased creative confidence and engagement.

• Teachers reported reduced planning stress and improved collaboration.

• AI-enhanced projects supported equity by reducing reliance on physical resources.

• Ethical considerations were addressed through bias evaluation and student autonomy.

Educational Framework Alignment

Aligned with:

• Australian Curriculum V9.0: General capabilities (Critical & Creative Thinking, Ethical Understanding, Digital Literacy).

• TPACK Framework: Integrating tech, pedagogy, and content effectively.

• Constructivism & Connectivism: Active, networked knowledge-building environments.
  
  

Recommendations for Practice

• Scaffold AI tools for teachers via phased PD.

• Use student-generated data to iterate design.

• Prioritize opt-in/opt-out models for ethical AI use.

• Encourage reflective practice from both teachers and students.

Conclusion

This pilot demonstrates how thoughtfully integrated AI can enhance interdisciplinary learning while supporting both student agency and teacher well-being. It models a scalable, ethical, and evidence-informed approach to future-ready learning design.