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 A collective of educators and students engages in immersive art- and design-driven practice to reimagine higher-education and primary-school teaching and learning at, and beyond, the University of Teacher Education. 

Rooted in curiosity, care and attentiveness to diverse histories and voices, the collective offers open-ended impulses that anyone can adapt, question or extend across a growing constellation of educational hubs.

© 2025 Emerging Space (CC BY‑NC 4.0)
Warm-Up: Future Learning Environment AI-Prototype


Overview: 

A dual-mode exercise blending low-tech prototyping with mindful AI use to envision tomorrow’s classrooms using recycled and consumable materials.

  1. Visioning Pause (2 min):
    Close your eyes and imagine a learning space 20 years from now—its forms, technologies, and ways of engaging. Notice which features spark excitement or curiosity.

  2. Material Prototype (7 min):
    In pairs, build a three-dimensional model of your envisioned environment using on-hand consumables and recycled items—cardboard scraps, string, tape, bottle caps, fabric offcuts, etc. Focus on elements that support diverse learners and local contexts.

  3. Mindful AI Sketch (3 min, optional):
    If desired, augment your prototype with an AI-generated image—using minimal prompts and energy:
    • Prompt: A concise description of your recycled-materials model.
    • Upload: A quick photo of your prototype for grounding.
    • Generate: Produce one illustrative scene to complement your physical build.

  4. Partner Share (5 min):
    Swap prototypes and AI visuals with another pair. Discuss how your designs respond to accessibility, cultural relevance, and ecological impact.

  5. Group Reflection (3 min):
    In plenary, name one insight: How did combining hands-on upcycling with sparing AI support inspire fresh, inclusive ideas?

Cultural & Contextual Sensitivity:
Honour local craft traditions by choosing regenerative, sustainable, or fully recyclable materials that can be reused across projects.

AI & Enegry Awareness:
Use AI sparingly to support visualization and respect its energy footprint. Embrace an agile mindset—prototype rapidly, gather feedback, and iterate—ensuring both technology and materials serve learners and the planet.