Sobre Mathigon

Everything in our world follows mathematical laws: from the motion of stars and galaxies to the transmission of phone signals, bus timetables, weather prediction and online banking. Mathematics lets us describe and explain all of these examples, and can reveal profound truths about their underlying patterns.

Unfortunately the school curriculum often fails to convey the incredible power and great beauty of mathematics. In most cases, school mathematics is simply about memorising abstract concepts: a teacher (or a video, or a mobile app) explains how to solve a specific kind of problem, students have to remember it, and then use it to solve homework or exam questions. This has changed very little during the last century, and is one of the reasons why so many students dislike mathematics.

“It is a miracle that curiosity survives formal education.”

– Albert Einstein

In fact, the process of studying mathematics is often much more important than the actual content: it teaches problem solving, logical reasoning, generalising and abstraction. Mathematics should be about creativity, curiosity, surprise and imagination – not memorising and rote learning.

Mathigon is part interactive textbook and part virtual personal tutor. Using cutting-edge technology and an innovative new curriculum, we want to make learning mathematics more active, personalised and fun.

Active Learning

Rather than telling students how to solve new kinds of problems, we want them to be able to explore and “discover” solutions on their own. Our content is split into many small sections, and students have to actively participate at every step before the next one is revealed: by solving problems, exploring simulations, finding patterns and drawing conclusions.

We built many new types of interactive components, which go far beyond simple multiple choice questions or textboxes. Students can draw paths across bridges in Königsberg, run large probability simulations, investigate which shapes can be used to create tessellations, and much more.

Personalisation

As users interact with Mathigon, we can slowly build up an internal model of how well they know different related concepts in mathematics: the knowledge graph. This data can then be used to adapt and personalise the content – we can predict where students might struggle because they haven’t mastered all the prerequisites, or switch between different explanations based on students’ preferred learning style.

A virtual personal tutor guides you step-by-step through explanations and gives tailored hints or encouragement in a conversational interface. Students can even ask their own questions.

Storytelling

Using Mathigon requires much more effort and concentration from students, compared to simply watching a video or listening to a teacher. That’s why it is important make the content as fun and engaging as possible.

Mathigon is filled with colourful illustrations, and every course has a captivating narrative. Rather than teaching mathematics as a collection of abstract facts and exercises, we use real life applications, puzzles, historic context, inter-disciplinary connections, or even fictional stories to make the content come alive. This gives students a clear reason why what they learn is useful, and makes the content itself much more memorable.

All these goals are difficult to achieve in a classroom, because a single teacher simply can’t offer the individual support required by every student. Of course, we don’t want to replace schools or teachers. Mathigon should be used as a supplement: by students who are struggling and need additional help, students who want to go beyond what they learn at school, or even by teachers in a blended learning environment.

The ideas of active learning and personalised education are nothing new – teachers and researchers have been experimenting and writing about it for many years. Mathigon is one of the first implementations on a fully digital platform, which means that we can reach a much larger number of students. Of course, we are just getting started and there is still a long way to go.

One of the key underlying concepts is constructivism, the belief that students need to “construct” their own mental models of the world, through independent exploration, discovery and project-based learning. Constructionism was first developed by psychologist Jean Piaget (1896 – 1980), and then extended by mathematician, computer scientist and educator Seymour Papert (1928 – 2016).

There is plenty of research and evidence supporting this approach to teaching mathematics, and many existing ideas or examples we use as inspiration:

Essays

Content and Engineering

Philipp Legner

VP of Mathigon

David Poras

Director of Product

Phil DeOrsey

Software Engineer

Gabe Turow

Software Engineer

Josh Stein

Software Engineer

Kaira Imer

Software Engineer

Dmytro Ohorodnykov

Software Engineer

Sarah Page

Designer

Patrick Henning

Software Engineer

Eda Aydemir

Content Writer

Advisory Board

Cindy Lawrence

MoMath

Conrad Wolfram

Wolfram Research

James Tanton

MAA

Katharine Jackson

Sage Publishing

Rich Miner

Google

Sarah Lee

EdVentures

Simon Singh

BBC, Author

Translations

• Arabic: Jad Succari
• Catalan: David Virgili
• Chinese: iuway, Kaka, jexchan
• German: Harald March
• Italian: Michela Riganti, Letizia Diamante, Antonio La Barba
• Portuguese: Hugo Tadashi
• Romanian: Claudia Dumitrascu, Ariana-Stanca Vacaretu
• Russian: Аня Никитина
• Spanish: Scott Nepple, Héctor Palacios, Carlos Ponce Campuzano, Pilar Fortuny Ayuso
• Turkish: Utku Aytaç, Can Ozan Oğuz, Ebru Nayir, Murat Uyar, Buket Eren, Eda Aydemir, Begüm Gülşah Çaktı, Ayşe Yiltekin, İsmail Kara
• Vietnamese: Ngo Thuy Anh Tuyet

Volunteers and Supporters

We want to thank all these volunteers and supporters for their contributions, advice, proofreading, feedback or generous donations:

• Justin Baron
• Srikanth Chekuri
• Alison Clark-Wilson
• Dirk Eisner
• Susan Jobson
• Tim Knight
• Michal Kosmulski
• Wolfgang Laun
• Joel Lord
• Rose Luckin
• Samantha Marion
• Alex McCall
• Manuel Menzella
• Huw Mort
• Meenakshi Mukerji
• Andy Norton
• William O’Connell
• Antonella Perucca
• Anwit Roy
• Kostas Symeonidis
• Andre Wiederkehr
• Danny Yee
• Arul Kolla

• John Green
• Yi-Hsuan Lin
• Samuel Watson
• Enrico Poli
• Zach Geis
• Jack Kutilek
• leeyeewah
• Leif Cussen
• Chris Peel
• Sergei Kukhariev
• Alexander Shapoval
• Andrea Michi
• Troy Weets
• 安強 朱
• Howard Mullings
• Oleksandr Prokopenko
• Evgeny Sushko
• Israel Parancan Navarro
• Josep lluis Mata
• Valeri Jean-Pierre
• Alex Munger
• Jay Mitchell
• Denis Zuev
• Matematika Tivat
• Nafez Al Dakkak
• Amy Dai
• Clara Marx
• Kimberly Lilly
• Angela Bottaro
• Yolanda Campos
• rittersg
• Tom Leys
• Anuj More
• Srini Kadamati
• Howard Lewis Ship
• Leo
• Becca LeCompte
• Reymund Gonowon
• Axek Brisse
• Dev Karan Ahuja
• Guillaume
• Antony Mativos
• Bryan Shull
• Matthew Deren
• Razmik Badalyan
• Georgreen Mamboleo
• Yijia Wang
• Devin Wilson
• billxiong
• dacapo
• Cyril Ghys
• charlespipin