What If Walls Could Teach?
Vision and research shaping new learning spaces
To passing motorists on Pakuranga Highway, the towering Year 12 and 13 Building will look like any other construction project. Inside, however, classrooms are beginning to take shape that represent something far more significant: the physical expression of years of research, consultation, and careful planning around one core principle… How do students learn best?
Planned for the start in Term 1, 2027 (read more on page 10), the building reflects a vision for learning shaped well before construction began. That vision has driven a deliberate shift in pedagogy across the College, with the new spaces designed to support practices already taking root in classrooms today.
One of the most distinctive features of the new building will be classrooms lined with 360º whiteboard walls. These are not aesthetic additions, but are grounded in Professor John Hattie’s research on Visible Learning, which emphasises that learning is strongest when it is made explicit, feedback is active, and students are fully engaged in the process.
When ideas can be written, challenged, and adjusted in real time, thinking becomes visible. On whiteboards, students will test ideas openly, learn from mistakes, and deepen their understanding as they observe the different ways their peers approach and process learning. Cognitive scientist Daniel Willingham captures the principle simply: “Memory is the residue of thought.” Students remember what they think deeply about.
Alongside these classrooms, the building will include a range of specialist environments designed to reflect the different ways students learn. “Me, We and Us” spaces will support independent study, small-group collaboration, and larger shared learning.
Additional to classrooms, ten unique learning environments designed to reflect real-world contexts will be available for use in all year groups. Among these will be a boardroom for presentations, a United Nations-style chamber for debate and diplomacy discussions, the forum – an amphitheatre-style presentation space designed for large gatherings and speaking opportunities, and a screening room fitted with cinema-quality sound and visual technology.
Rather than waiting until tertiary study or the workplace to encounter these settings, our students will develop confidence within them now. When spaces align with the purpose of the lesson, engagement deepens and learning becomes more authentic.
Deputy Principal Hannah Williams explains that an early staff consultation highlighted a common challenge: students often asking, “Tell me what to do.” In response, the College has made learner agency a strategic priority, helping students think independently, solve problems, and take ownership of their learning.
Those ambitions are reflected in five key graduate attributes the College hopes to cultivate: Personal Excellence, Curiosity, Critical Thinking, Independence, and Collaboration. The new building has been designed to support each of them.
Equally important has been preparing teachers to make the most of these opportunities. Under the leadership of Deputy Principal Pat Baird, staff are already working in completed mock-up classrooms that mirror the new learning spaces. Faculty teams are trialling lesson approaches, experimenting with room layouts, and considering how different environments can best support each subject area.
Professional development has aligned closely with the College’s vision for learning. Staff have access to a voluntary pedagogy coaching programme, where they work with instructional coaches to refine their practice through feedback and reflection. Professional reading groups have also enabled teachers to unpack current educational research and apply new evidence-based strategies in their classrooms.
Innovative learning spaces are not new. What sets this approach apart is the deliberate alignment between research-informed pedagogy, teacher development, and physical design. Walls may not teach on their own, but when designed with intent, they can shape the conditions under which deep learning becomes possible.