
Progressive Vision
(from ExPAND SG to SL levels)
The ExPAND framework is designed to grow with students, shifting the focus from learning about AI to learning beyond it. As students progress, their role evolves from passive recipients to intentional, ethical creators, supported by increasingly learner-led pedagogical strategies and integration models.
SG (Student-guided)
Learning ABOUT AI
Pedagogical Focus: Teacher-directed, skills-based tasks using the CRAFT model
Engagement Mode: Passive Recipient
Students learn to ask well. They begin as explorers, experimenting with AI tools under close teacher guidance. The pedagogy is teacher-directed, focusing on curiosity, foundational skills, and structured use of AI. CRAFT is the main scaffold at this level, helping students learn how to communicate clearly and purposefully with AI. Teachers model prompts, guide interaction, and prevent over-reliance so students begin to see AI as a tool for support rather than dependence.


SD (Student-driven)
Learning WITH AI
Pedagogical Focus: Shared agency via the POWER model + the PFSs + the POWER Bots, while still drawing on CRAFT for prompt design
Engagement Mode: Active Collaborator
Students learn to think well. They become active co-creators, using AI collaboratively for tasks and genre-based writing. The pedagogy shifts to student-centred collaboration, where teachers scaffold prompt design, critical reflection, and task application. POWER becomes the main thinking scaffold, supported by the PFSs and POWER Bots, while CRAFT continues to help students frame prompts effectively. AI acts as a coach or teammate, and students begin to take more responsibility for refining and improving their own outputs.
SL (Student-led)
Learning BEYOND AI
Pedagogical Focus: Student-led creation, ethics, authorship using the SMART model, while continuing to draw on CRAFT and POWER when needed
Engagement Mode: Intentional Driver
Students learn to judge well. They grow into self-directed innovators, setting goals, managing their learning, and applying AI across contexts. The pedagogy moves towards autonomous, inquiry-driven learning, with AI as a partner in reflection and innovation. SMART becomes the main model at SL, but students continue to draw on CRAFT for purposeful prompting and POWER-related scaffolds for structured thinking whenever needed. Learners design their own prompts, transfer knowledge across subjects, and use AI ethically and critically to support lifelong learning.

