Rethinking what it means to learn math (with Eugenia Cheng)

Nov 22, 2023 Episode Page ↗
Overview

Spencer Greenberg speaks with mathematician Eugenia Chang about reforming math education. They discuss shifting focus from rote memorization to logical thinking, pattern recognition, and using math to understand information and empathize with others. Chang emphasizes embracing curiosity and normalizing confusion as vital for lifelong learning in mathematics.

At a Glance
17 Insights
1h 18m Duration
16 Topics
5 Concepts

Deep Dive Analysis

Rethinking the Goals of Math Education

Math as a Tool for Clear, Logical Thinking

Math as a Language for Patterns and Abstraction

Exploring the Concept of Addition and Category Theory

The Humbling Nature of Math and Infinite Understanding

Addressing Math Phobia and Math Hatred

The Detrimental Impact of Humiliation in Math Education

Redefining Success in Math Beyond Speed and Right Answers

The Problem with Timed Math Tests and Cognitive Load

Societal Benefits of Math Literacy

The 'Reading and Writing' Approach to Math Education

Motivating Math Learning Through Play and Real-World Scenarios

How Math Cultivates Empathy and Understanding Different Worldviews

Applying Mathematical Concepts to Everyday Life

The Foundational Shift of Category Theory in Mathematics

The Brain's Plasticity and Learning Math at Any Age

Thinking Well (in Math)

From a mathematical perspective, 'thinking well' involves using logic and logical frameworks to discern good information from bad, especially in an age of information overload. It's about taking small, secure steps of deduction from known truths to build a robust argument.

Abstraction (in Math)

Abstraction is the process of forgetting certain details about a situation to transform it into an idealized scenario where logic can be applied. Pattern spotting is a form of abstraction, recognizing similarities between different situations by ignoring specific details.

Category Theory

A very abstract form of mathematics that emerged in the mid-20th century, which focuses on understanding things based on their relationships with each other rather than their intrinsic characteristics. It helps identify general patterns and build bridges between different mathematical fields by studying relationships at a higher level of abstraction.

Math Phobia/Hatred

Math phobia is an intense fear of mathematics, often stemming from early life experiences of humiliation or feeling stupid in math class. This fear can evolve into hatred, causing individuals to avoid anything resembling numbers or mathematical concepts.

Mathematical 'Reading' and 'Writing'

A proposed distinction in math education, similar to reading and writing in language. 'Reading' math involves understanding concepts and appreciating what others have done, while 'writing' math involves producing or manipulating it. Not everyone needs to 'write' math to benefit from 'reading' it.

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What should be the primary goal of math education?

Math education should focus on teaching people how to use their brains to think well, logically, and clearly, rather than just memorizing specific facts or solving specific problems that may not be transferable to other areas of life.

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Why is it important for people to understand math, even if they don't become mathematicians?

Understanding basic mathematical concepts is crucial for societal good, enabling people to comprehend scientific information, understand probabilities, and engage with complex issues without dismissing them as conspiracies or fear-mongering.

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Why do many people develop a hatred or phobia of math?

Math hatred often stems from fear, which is frequently caused by humiliation experienced in math classes, where individuals are made to feel stupid or slow, rather than from the inherent difficulty or danger of the subject itself.

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How can math help individuals develop empathy?

The discipline of abstract mathematics trains individuals to follow another person's logic from their starting premises, allowing for an understanding of their viewpoint without necessarily validating it, thereby fostering empathy even in strong disagreements.

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What is the significance of 'asking good questions' in mathematics?

Asking good questions in math is about probing the limits of when something is true and exploring 'why' things work or don't work, rather than just finding correct answers. This leads to deeper understanding and discovery of profound mathematical truths.

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Is it ever too late for adults to learn math or improve their mathematical abilities?

The brain remains extraordinarily plastic throughout life, meaning it's rarely too late to learn math. Believing one can improve and having the right approach (like breaking down concepts and playing with ideas) can lead to significant progress at any age.

1. Cultivate Growth Mindset

Adopt the belief that you can always learn and improve, regardless of age or past experiences, as this positive mindset is crucial for overcoming perceived limitations and engaging in lifelong learning.

2. Focus on Logical Thinking

Approach math as a tool to develop clear, logical thinking skills, rather than just solving specific problems, to make the learning transferable to any domain.

3. Use Math for Empathy

When encountering strong disagreements, use a mathematical mindset to trace another person’s logic back to their fundamental premises, acknowledging their starting point without necessarily validating it, to foster empathy and understanding.

4. Normalize Confusion in Math

When learning math, recognize that feeling confused or not understanding immediately is a normal and expected part of the process, rather than a sign of personal failing.

5. Prioritize Curiosity Over Speed

Focus on developing endless curiosity and a desire for deep understanding in mathematics, rather than prioritizing speed or quick answers, as true mathematical skill is about exploration.

6. Clarify Argument Definitions

Before engaging in divisive arguments, ensure all parties agree on the definitions of terms and the starting premises to avoid talking past each other.

7. Assess Information Logically

Apply logical frameworks, as taught in math, to critically evaluate information, distinguish good from bad, and effectively communicate findings to others.

8. Ask Insightful Math Questions

Cultivate the ability to ask ‘good questions’ in math, which means probing the limits of when something is true or why something doesn’t work, rather than just seeking correct answers.

9. Deconstruct Complex Learning

When faced with a complex skill or concept, break it down into its smallest, most understandable components, and learn each piece incrementally, building a ‘bridge’ of knowledge.

10. Engage in Playful Math

Approach math learning through playful exploration, ‘messing around’ with concepts and data (e.g., interactive visualizations) to understand how they behave, rather than focusing solely on solving specific problems or getting right answers.

11. Understand Concepts in Context

When learning or applying mathematical concepts, always consider the broader context and relationships, as characteristics can change depending on the surrounding elements (e.g., a number’s properties in different number systems).

12. Grasp Full Data Distributions

When encountering statistics like the ‘mean,’ remember that it’s an abstract central point and consider the entire data distribution to avoid misinterpreting it as universally applicable.

13. Foster Math Literacy

Encourage a general appreciation and basic understanding of mathematical concepts (like exponentials or probability) in society, even if not for personal calculation, to enable effective communication of scientific information.

14. Separate Math Reading/Writing

In math education, distinguish between ‘reading’ (understanding concepts and interpretations) and ‘writing’ (producing calculations or proofs), allowing individuals to excel in comprehension even if they struggle with production.

15. Internalize Math via Patterns

Instead of rote memorization, internalize mathematical facts (like multiplication tables) by recognizing patterns in everyday contexts to reduce cognitive load without fostering math hatred.

16. View Math as Pattern Language

When encountering real-world phenomena, identify underlying patterns and translate them into mathematical representations to rigorously analyze and understand them.

17. Avoid Rote Math Memorization

Educators and parents should prioritize understanding over memorization of facts like times tables, especially when calculators are readily available, as memorizing things people won’t use makes math seem useless and can lead to math hatred.

Math is about using our brains to think well. And it does so happen that numbers and equations and solving specific problems is one form of thinking well. But if we only learn to solve specific problems, then all we've learned is, well, to solve those specific problems. It's not very transferable.

Eugenia Cheng

Mathematicians are not claiming the premises are true. We're just saying, if they are true, here are a whole load of things that follow from that, so that then we can look around us in the world. And anytime we see that being true, we can conclude some things. So we're not actually saying that these things are true.

Eugenia Cheng

The thing that is not mathematical is to go, oh, I understand everything now. I'm done. Mathematicians never do that.

Eugenia Cheng

Fear should be for things that are dangerous. Whereas math is just ideas. It's not going to threaten your life. What's made it scary, I think, is the humiliation that people have experienced early in their life in math class.

Eugenia Cheng

A lot of math is about learning how to ask really good questions. And what good means there is questions that will uncover something.

Eugenia Cheng

If you believe you can't learn something, then you can't learn something.

Eugenia Cheng
60%
Likelihood of an event If an event is 60% likely and doesn't happen, it doesn't mean the prediction was wrong; it means the 40% chance of it not happening occurred.
$100 million
Example CEO salary Used in a hypothetical scenario to illustrate how a high outlier can skew the mean of a distribution, compared to a cleaner's salary.
$8,000
Example cleaner salary Used in a hypothetical scenario to illustrate how a low outlier can affect the mean of a distribution, compared to a CEO's salary.