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Martin Hassler Hallstedt on using Psychology research to teach kids Math
Episode 144th November 2022 • Deep Tech Stories • Philipp Stürmer
00:00:00 00:23:08

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If you look at the majority of education systems, you'll notice that there is little to no change between today's kid's experiences and their parent's or grandparents.

Yet the rest of the world never stopped evolving. Our old education systems are just not suited anymore to cope with the requirements of the modern world. Especially when it is estimated that 65% of today's children will have jobs that don't yet exist.

One way to fix this is by bringing modern tech into the classroom and individualising the learning process. Not only does one gather information about every student, but it also increases their well-being and performance. One of the people doing that is Martin Hassler Hallstedt, turning his Psychology PhD project into a Maths learning app called "Count on me" for young kids. Why maths? Well, maths is the best predictor of later academic success, even more than reading comprehension.

But his path didn't always seem to guide him towards math ...

Chapters:

00:00 Introduction

02:46 Martin's First Crush on Learning at School

06:04 How Cognitive Behaviour Therapy can help you become more skilled at something

09:38 Maths as the most important predictor for later learning

11:59 Why one size doesn't fit all in education

15:02 What is the gap between research and what we know?

18:11 How to utilise the attention span in a ten year old

19:56 How did Martin get involved in a CBT app?

If you enjoyed this episode, why not recommend it to a friend?

Homepage: https://www.deeptechstories.io

Podcast Twitter: https://twitter.com/deeptechpod

My Twitter: https://twitter.com/sturmerph

LinkedIn: https://www.linkedin.com/company/deeptechstories

Music by Nathaniel Drew x Tom Fox:

https://www.nathanieldrew.com/

https://tfbeats.com/

Design by Amadeus Schwed:

https://elementsofpuremotion.com/

This episode was edited by Jonas Fuksa



This podcast uses the following third-party services for analysis:

Chartable - https://chartable.com/privacy

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