Education is changing fast. The support available to educators has not kept up.
FutureLearning exists to change that. Not by selling tools or running roadshows. By doing the slower, harder, more important work of building real capability, grounded in research, grounded in Aotearoa, and grounded in what actually works for learners.
Let’s have a conversationWhy FutureLearning exists
Most professional learning in AI right now is one-off and tool-focused. Practitioners attend, return to their context, and have little support to translate what they heard into real changes in how they work. That pattern is not new, but it is particularly costly right now, when the stakes of getting AI wrong in schools are genuinely significant.
FutureLearning comes from a different position. Tim has spent fifteen years working inside and alongside Aotearoa schools, facing the same challenges educators face: how to build AI policy that actually works, how to protect academic integrity without shutting down legitimate learning, how to use emerging tools in ways that serve students rather than compromise them. That is not consultant knowledge. It is practitioner knowledge, tested in real contexts, and backed by peer-reviewed research.
The result is a practice built around what the evidence says actually produces lasting change: sustained relationships, collaborative networks, and support that stays inside your organisation rather than leaving when the facilitator does.
What drives the work
Every decision FutureLearning makes comes back to the same questions. What does this mean for learners? Is this grounded in evidence? Does this serve equity?
Pedagogy before tools
AI is not an end in itself. The question is never “how do we use this tool” but “how does this serve learning?” Every FutureLearning engagement starts with what educators are trying to achieve for their learners, and works outward from there.
Equity and inclusion are not optional extras
The learners who are most often left behind by new technologies are the ones FutureLearning’s work is most concerned with. Inclusive practice and equitable outcomes are built into the approach from the start. Not added on when someone asks.
Sustained change requires sustained support
A one-day workshop does not change practice. A year-long relationship, grounded in real context, connected to colleagues, and returning to the same questions across time, does. That is the model FutureLearning is built around.
Aotearoa first
This work rests on New Zealand legislation, Ministry of Education policy, Te Tiriti o Waitangi obligations, and the specific realities of teaching and learning in this country. It is not an overseas framework applied here. It is built here, for here.
The theory of change
Most approaches to AI in education focus on adoption. Get more people using more tools more confidently. FutureLearning starts from a different premise.
Real and lasting change in how educators work with AI happens when three things come together: a clear, honest picture of where a school or practitioner actually is; sustained professional relationships that allow new practice to develop and embed over time; and a community of peers who are working through the same challenges and building shared knowledge together.
The Te Ara Tūāpae framework provides the picture. Practice Partnerships provide the sustained relationship. The AI in Education Community of Practice provides the network. Each element supports the others. None of them works as well in isolation.
The measure of success is not how many sessions were delivered or how many tools were demonstrated. It is what changed for learners.
Grounded in research
FutureLearning’s approach is built on published, peer-reviewed research into AI in education, not on vendor claims or imported frameworks. Tim and Bee are both active researchers and collaborators, working alongside colleagues across the New Zealand tertiary and school sectors to generate evidence about what actually works.
This matters because the AI in education space is full of confident claims and thin evidence. Schools deserve advice that has been tested, scrutinised, and honestly evaluated.
AI in Education 2023: Understanding the impact on effective pedagogy, inclusive learning and equitable outcomes.
Gander, T., & Shaw, B. (2024). He Rourou, 1(1), 15.
Navigating the AI Landscape: Educator Insights and Pedagogical Implications in New Zealand.
Gander, T. & Shaw, B. (2024). Journal of Technology and Teacher Education, 32(3), Society for Information Technology & Teacher Education.
Understanding AI Literacy for Higher Education Students: Implications for Assessment.
Gander, T., & Harris, G. (2024). He Rourou, 1(1), 8.
Evaluating the Impact of an AI Critical Friend on Student Research Proposals, Critical AI Literacy, and Transparent Collaborative Assessment Practices.
Gander, T. & Parsons, D. (2024). Navigating the Terrain: Emerging frontiers in learning spaces, pedagogies, and technologies. Proceedings ASCILITE 2024, Melbourne (pp. 459-464).
He Whanaungatanga Tīmatanga: The Treaty of Waitangi, Artificial Intelligence and our Schools.
Shaw, B. (2024). New Zealand Journal of Teachers’ Work, 21(2), 139-146.
Empowering Aotearoa: An inclusive approach to AI literacy in tertiary education.
Gander, T., & Parsons, D. (2025). Ako Aotearoa.
The team
FutureLearning is a small, focused practice. That is deliberate. Every engagement involves people with real expertise and real skin in the game.
Dr Tim Gander
Founder and Lead Practitioner
Tim has spent fifteen years working in and alongside Aotearoa schools and education organisations, supporting practice change and building adaptive capability. His PhD focused on collaborative synchronous coaching for social justice, and his research sits at the intersection of AI, pedagogy, and equitable outcomes in education.
He has taught in New Zealand schools, supervised more than 150 postgraduate students, served on advisory groups including ERO and N4L, and founded the AI in Education Community of Practice, which connects over 800 educators across Aotearoa. He is an active researcher, published author, and keynote speaker.
Tim’s work is grounded in a simple belief: educators deserve support that is as serious and sustained as the challenges they face.
Brendon Shaw
Research Collaborator and Cultural Advisor
Brendon (Bee) Shaw is a tertiary educator working in te reo Māori education and a bilingual classroom teacher at a South Auckland primary school. That dual position gives him a grounded, real-time view of how policy decisions affect learners, whānau, and communities.
His Master’s research focused on place-based learning, and his current doctoral research explores applied AI in education among Aotearoa based educators. He is co-author of FutureLearning’s foundational research paper on AI, effective pedagogy, and equitable outcomes, and provides cultural advisory across FutureLearning’s frameworks and resources.
Brendon is passionate about ensuring AI in education honours Te Tiriti o Waitangi, protects Māori data sovereignty, and genuinely serves the communities it claims to support, and he is also determined to amplify the voice of classroom teachers in discussions around AI in education.
The Future Learning Foundation
FutureLearning operates through the Future Learning Foundation, a registered New Zealand charity (CC64877). The Foundation exists because the work, improving professional practice and learning outcomes for the people who most need it, should be structurally accountable to a public benefit purpose, not just a commercial one. That means independent trustee governance, a commitment to equity over access-by-wealth, and a mission that holds even as the organisation grows.
Real practitioners. Real progress.
What educators, practitioners, and organisations across Aotearoa say about working with FutureLearning.
“Tim and Bee seamlessly addressed the needs of our group which had wide ranging differences in AI skill and experience. I am very much a beginner in this space, and I really appreciated the way they conveyed the big picture in terms of equity and safety issues while also providing me with the practical support I needed to make another step forward in my own learning. AI is moving at such a pace and it is so useful to have highly skilled and thoughtful people able to break it down for me, on multiple levels of understanding. My only complaint is that it was over too quickly!”
“Tim and Bee were engaging and enthusiastic presenters. The session was informative and challenged my thinking, or lack of thinking! Ample opportunity for discussion.”
“Tim ran a brilliant session with our team at Riki Consultancy, opening our eyes to how AI can genuinely level up the way we work! He supported us to explore new digital tools with real potential to move our business forward, while also showing us how to get so much more out of the tools we already use. Tim has a real knack for turning big ideas into actual practical steps you can use the next day. He is innovative, creative, and a fantastic problem solver, and we felt genuinely privileged to have 1:1 time with him. I would not hesitate to recommend Tim to any educators, schools, or organisations wanting to think seriously about what AI can do across their practice. Kāore i tua atu i a koe e hoa.”
“Top notch presentation, amazing mātauranga and delivery.”
“Practical and useful.”
“Very useful workshop, great presenters.”
How we use AI
FutureLearning exists to help educators navigate AI thoughtfully. We hold ourselves to the same standard we encourage in schools.
The tools we use, and why
For research, writing, and day-to-day work, we use Claude, built by Anthropic. We chose it because Anthropic treats safety as a core design commitment, not an afterthought. Claude doesn’t use your conversations to train its models by default, and Anthropic publishes its thinking about AI development publicly. That transparency matters to us.
For meeting notes and session recordings, we use ContentedAI. It was built with data privacy as a priority. It doesn’t use meeting content to improve its models, and it keeps sensitive conversations out of systems that might repurpose them. When we’re talking with school leaders about their specific context, that protection matters.
Where work involves client information or anything that shouldn’t leave our systems, we use locally-run AI models, processing that stays on our own hardware and doesn’t reach external servers. For general tasks, we use hosted tools. But nothing identifiable about schools, students, or clients is ever put into an external AI system.
Images on this site
Almost all images on this site are AI-generated. We use AI imagery for backgrounds, abstract visuals, and feature graphics because sourcing real school photography requires consent processes that don’t suit a public website. The only exceptions are the portrait photographs of Tim and Bee.
What AI doesn’t do here
AI doesn’t write our recommendations, assessments, or programme content. It helps us draft and iterate. Human expertise and judgement determine what’s right. Everything published under the FutureLearning name has been reviewed and signed off by a person.
Peer-reviewed research. Practitioner experience. Aotearoa context.
Most professional learning offers one of these. FutureLearning is built around all three. Find out what this looks like for your school.