TiTeeJomrungrang

Sakon Tangkawsakul. Math teacher- Educator. Mathematical modelling in Math Ed. Design Research.

[Oscar Arias @OACerebro]

Enjoy!

https://t.co/4bswKjYasg

[friskaandini12 @andinifriska99]

This is so satisfying to watch

[Jui (Colby Daddy) 🐶 @0xJui10]

ใครยังไม่รู้จะใช้ Claude ทำอะไร
แนะนำให้ไปดูหน้า Use Cases ของ Anthropic เลย

/ https://t.co/LBpHDN5Zln

มันดีตรงที่ไม่ได้มีแค่ ไอเดียว่า AI ทำอะไรได้บ้าง
แต่เขาโชว์เป็นเคสจริงว่า
โจทย์แบบนี้ต้องคิดยังไง

ควรให้ context อะไร
prompt ควรเขียนประมาณไหน

แล้วค่อย follow-up เพื่อขัดงานต่อยังไง

[OECD Education @OECDEduSkills]

What does the research say are the keys to high-quality teaching?

This report unpacks teaching into five goals and 20 practices.

What does research say works, and how do schools put it into action?

See the evidence and insights from schools 👉 https://t.co/1cTf5BZCpK

[Steven Strogatz @stevenstrogatz]

Do you get it?

[Andrew Akbashev @Andrew_Akbashev]

A simple tip to massively improve your research presentations and faculty interview talks:

- Keep content simple but add periodic 'dips'.

Your ‘dives’ give experts food for thought while your simple content keeps the rest of the audience engaged.

Example:

- 1 'deep slide’ after each 4-5 simple slides.
- 2 ‘deep slides’ after each 5-6 simple slides.

This is crucial in faculty interviews, where the whole department is often listening. It also helps in postdoc interviews if you’re invited to a lab with a different expertise.

Myself, I stick to this rule most of the time. And it works very well.

__

The picture below is from our video podcast "How to Make a Great Research Talk: Structure, Slides and Confidence":

https://t.co/lHZIecq2WU

[Math Cafe @Riazi_Cafe_en]

MIT's Topics in Mathematics with Applications in Finance 2024
by Peter Kempthorne, Vasily Strela, and Jake Xia

Lecture videos: https://t.co/HunUyvLj5K
Course website: https://t.co/noqyCWpEac

[Vaishnavi @_vmlops]

Want to learn probability & statistics visually? Check out Seeing Theory an interactive, browser‑based guide made to turn abstract concepts into intuitive visuals

Explore basics like chance events, probability distributions, Bayesian inference & regression with interactive visualizations

perfect for students, self‑learners, and data enthusiasts!

https://t.co/skAiXvoRwJ

[Abakcus @abakcus]

Color, clarity, and geometry. An interactive version of Byrne’s The Elements of Euclid (1847) is now online—and beautiful. https://t.co/BNXwut6zaq

[Math Cafe @Riazi_Cafe_en]

Entertaining Mathematical Puzzles
by Martin Gardner

PDF: https://t.co/Kbrv1DXAWP

[TensorTonic @TensorTonic]

https://t.co/8mDIcA1zFt

[TensorTonic @TensorTonic]

We've released 10+ Linear Algebra concepts for Machine Learning!

Here's one of the visualization how PCA identifies direction of maximum variance.

[Dan Kornas @DanKornas]

Learn the fundamentals of Probability and Statistics from Brown University.

They provide amazing visualizations to help you learn.

And it’s 100% FREE

Link: https://t.co/pc0taYIZh6

[Josep Ferrer @iamjosepferrer]

Linear Regression clearly explained 👇🏻

[Mustafa @oprydai]

why do chinese students consistently excel at math?

> this book dives into the teaching methods, cultural attitudes, and classroom practices behind it.
> a must-read for educators, parents, and anyone curious about different ways of mastering math

[Brainingcamp @brainingcamp]

Why do we use multiple representations for multiplication facts?
🧠 Deepen conceptual understanding
🔗 Make connections across ideas
👀 Visualize the math
🤔 Encourage flexible thinking
#math #edtech #manipulatives

[AMSP - Advanced Mathematics Support Programme @Advanced_Maths]

Did you know that ideas related to machine learning and AI can be integrated into teaching maths? If you’d like to learn more, sign up for our teachers’ course: The Maths of Data Science and AI starting October.

Find out more: https://t.co/h7ZyyjgwAn

#AIandMaths #ALevelMaths

[Jonathan Hall @StudyMaths]

Easy to make a conjecture, much harder to prove!

https://t.co/NiLafqbWe6
#1001MathsBots

[Jonathan Hall @StudyMaths]

Specialise, Conjecture and Generalise.

A three-step plan to encourage and develop mathematical thinking.

https://t.co/8B1JTsGLsY