Brain Share

Two Kinds of Games

James P. Carse introduced a powerful idea: life contains two kinds of games — finite and infinite.

7 Mindsets of Strong Infinite-Game Players

Why Brain-Based Learning Is Perfect for Infinite-Game Capability

Infinite games require brain states and habits that can withstand uncertainty, complexity, setbacks, and changing rules. BBL is a design approach that builds those capacities deliberately — because it aligns with how the brain learns best.

A Practical Framework: Raising Infinite-Game Players

Whether you're designing a school programme, enrichment track, or leadership curriculum, here's how to put it into practice.

The 8 Infinite Game Habits

The BBL Learning Design Pattern (Weekly Cycle)

Signature "Infinite Game" Learning Tasks

What to Stop Doing: Finite-Game Traps in Education

If your goal is infinite-game capability, be cautious of over-reliance on:

• Single-attempt high-stakes tests as the dominant signal
• Perfectionism and fear-based compliance
• Narrow ranking as the primary motivator
• Teaching "certainty" without teaching "how to think in uncertainty"

You can still keep finite games (tests, competitions) — but treat them as training drills, not the definition of success.

Teaching Does Not Automatically Cause Learning

There is an old Charlie Brown moment where Charlie proudly declares he has taught his dog Snoopy to whistle — and then admits that while he taught, he never said Snoopy learned. It sounds absurd. But the distinction is real.

Prof Liu recalls standing in front of a class of 40 Secondary 3 boys, feeling confident her lesson was going well — until they told her, kindly but bluntly: "Cher, liak bo kiu." They hadn't understood a thing. That moment of humility taught her two truths that continue to shape her work: teaching does not ensure learning has occurred, and learning cannot take place without motivation.

The gap between instruction and understanding is where education either succeeds or fails. Motivation is the bridge that connects the two.

Why Pressure Produces Performance, Not Understanding

Pressure can produce short-term results. But when students feel constantly evaluated, they may appear compliant without truly comprehending. Compliance is not comprehension.

From a brain-based perspective, the reason is clear. When students experience threat — fear of ridicule, fear of failing, fear of being labelled "weak" — the brain shifts into self-protection mode. Curiosity shuts down. Learners become less willing to attempt hard tasks and less able to hold complex ideas in mind.

This is why psychologically safe classrooms are not "soft". They are the conditions under which students can do hard thinking. A student who is safe to be wrong is a student who can afford to try — and trying is the gateway to learning.

Motivation Runs on Progress, Not Punishment

The brain's reward system responds strongly to progress — not only when we succeed, but when we anticipate success and notice ourselves improving. This is the neurological basis of what educators call productive struggle: tasks that stretch students while still being achievable with support.

The opposite is the "catch no ball" experience. When students repeatedly feel lost, they don't just feel disappointed — they start to see learning as pointless effort. Attention drops, effort drops, and teachers may respond with more pressure, which accelerates disengagement further.

Attention Is a Design Challenge, Not a Moral Failing

Many students now live in a landscape of constant stimulation and rapid switching. If we respond by telling them simply to "focus harder", we misunderstand the problem.

Sustained attention is essential because learning involves building and strengthening connections in the brain. That strengthening requires time, engagement, and repeated meaningful encounters with ideas. Motivation is the engine that sustains such attention.

The uncomfortable but liberating implication: the question is not only "How do we get students to pay attention?" but also "How do we design learning that deserves attention?"

Lessons built around inquiry, problem-solving, and real-world application capture attention more reliably than lessons designed as performances to avoid punishment.

The Social Brain: Relatedness Is Not Optional

Students do not engage because an assessment rubric is perfectly written. They engage because they feel seen by a teacher, supported by peers, and safe to take intellectual risks.

Prof Liu credits two teachers who "rescued" her motivation during a difficult season — her Chemistry teacher who said, in effect, "I still believe in you", and her PE teacher who made every student feel valued enough to dream. Their belief was not anchored in results. It was anchored in conviction about what their students could become.

Autonomy Is Not Permissiveness — It Is Ownership

Autonomy in learning is about ownership: students have some agency in how they approach a task, what examples they explore, or how they demonstrate mastery. Even small choices matter. Choice shifts learning from something done to students into something done by them.

The irony is that systems often try to motivate by increasing control — more penalties, more surveillance, more pressure. Yet excessive control can backfire by reducing ownership and shrinking the very intrinsic motivation we need to cultivate.

What This Looks Like in Practice

Meeting students' needs for autonomy, competence, and relatedness is not a "nice-to-have". It is how the brain learns. Here are five practical shifts:

None of this lowers standards. Done well, it raises the probability that more students can meet high standards — not through fear, but through competence.

Intelligence Lives in More Than Your Head

Most of us were taught to think of learning as a purely mental activity — something that happens between the ears. But modern neurobiology tells a richer story.

Supported by research from Dr. Stephen Porges (Polyvagal Theory) and Dr. Michael Gershon (enteric neuroscience), the Three-Brain Model proposes that we have three major neural centres that each process information, shape our state of being, and directly influence how we learn. They are in constant conversation with each other — and when they are aligned, learning is deeper, more meaningful, and more memorable.

Why Traditional Education Only Hits One Brain

Conventional schooling overwhelmingly targets the Head Brain — facts, concepts, analysis, exams. This is not wrong. But it is incomplete.

When students are anxious (heart brain under stress) or feel physically unsafe or unsettled (gut brain on alert), the head brain cannot perform at its best. Fear and shame don't just feel bad — they literally inhibit higher-order cognitive function. You cannot think your way to calm. The nervous system must come first.

Brain-Based Learning, informed by this model, aims to create integrated learning experiences that engage, develop, and align all three centres. Here is how.

Developing the Head Brain

Developing the Heart Brain

Developing the Gut Brain

What It Looks Like in One Lesson: Ecosystems

A Three-Brain lesson doesn't require a complete overhaul. Here's how a single topic can engage all three intelligences:

Why This Works: Four Reasons

The Shift AI Demands from Education

Artificial intelligence is extraordinarily good at computation, pattern recognition, and data management. It can generate content, retrieve information, and execute defined tasks at a speed and scale no human can match.

What AI cannot do is understand, empathise, originate, or ask why. It cannot adapt holistically, exercise ethical judgement, or sustain learning across a lifetime. These are not gaps that future AI will necessarily close — they are distinctly human capacities, grounded in how our brains develop, connect, and grow.

This is precisely why Brain-Based Learning is not just beneficial in the age of AI — it is essential. BBL is the systematic approach to cultivating exactly the capabilities AI lacks.

Where AI Falls Short — and Where BBL Steps In

A Four-Pillar Framework for Schools

Translating BBL principles into practice in the AI era doesn't require a complete overhaul. It requires a shift in focus — from transmitting knowledge to building the human capacities AI cannot replicate. Here are four pillars to guide that shift.

What This Looks Like in a Classroom

Differentiated Instruction (DI) and Brain-Based Learning (BBL) are deeply interconnected approaches that share a common goal: to honour the diversity of learners' brains and optimise learning by aligning teaching with how the brain naturally learns best.

1. Understanding Differentiated Instruction

Core Principles of Differentiated Instruction

1. Respect for learner diversity: Every learner is unique in ability, background, pace, and motivation.
2. Proactive planning: Teachers design lessons with multiple entry points and pathways.
3. Flexible grouping: Learners work individually, in pairs, or in groups based on changing needs.
4. Ongoing assessment: Continuous feedback guides instructional adjustments.
5. Student voice and choice: Learners are given autonomy to engage with material in personally meaningful ways.

The Four Elements of Differentiation

Differentiation is not individualised instruction for every learner, but rather a responsive ecosystem that flexibly adjusts to varied learning needs.

2. Brain-Based Learning: The Foundational Science

Brain-Based Learning (BBL) is a paradigm rooted in neuroscience, cognitive psychology, and biology. It argues that effective learning must align with the natural principles of brain function — emotion, patterning, meaning-making, social context, and plasticity.

Core BBL Principles

1. Every brain is unique and uniquely organised.
2. Learning engages both focused and peripheral attention.
3. Emotions are critical to patterning and meaning.
4. Learning is enhanced by challenge and inhibited by threat.
5. The brain processes parts and wholes simultaneously.
6. Learning is developmental — the brain changes with use.

These principles form the biological foundation for differentiated instruction: since no two brains process information in exactly the same way, teaching must provide varied pathways and experiences that respect these neurological differences.

3. The Link Between DI and Brain-Based Learning

In essence, differentiated instruction is the pedagogical expression of brain-based learning theory — it translates the science of how the brain learns into the art of responsive teaching.

4. Why the Connection Matters in the Age of AI

In the AI era, the demand for higher-order thinking, creativity, and adaptability is greater than ever. BBL provides the neuroscience foundation explaining why personalisation works; DI provides the classroom framework for how to implement it.

Together, they enable: