Sabitlenmiş Tweet
今天是使用Math Academy(@_MathAcademy_ )学习ME(MathEnglish)的第三天. 三天下来我的感受是我在一条正确的道路上前进,通过英语学习数学是中国孩子学习数学最正确的道路,无论孩子的英文水平如何,都可以尝试. 最开始可以使用中英文混合学习,半年到一年后应该就可以使用纯英语学习了.
中文
Newstart
2.8K posts
Newstart
@newstart
MAXP is new credit. AI is cheap, show me your XP.
Katılım Aralık 2006
489 Takip Edilen1K Takipçiler
Thank you Jason, Sandy, Justin, Alex. You are building the best Math courses for all over the world. @_MathAcademy_
English
Newstart retweetledi
The most powerful tool in any field is the ability to break a large problem into small, solvable pieces.
Yacine Mahdid@yacinelearning
every time I simplified a complex problem to this bad boy over there I won
English
Newstart retweetledi
The dumbest way to solve a maze? Simulate thousands of particles spreading out like a gas from the start—wait until one finds the exit, then trace its path back.
📽: Matthew Henderson
English
Newstart retweetledi
There's a whole story about how the Eurisko course sequence got started, which I'll link to in a comment.
Jason Roberts@exojason
A couple of weeks ago, I discovered that two of the five students from @justinskycak's first Eurisko class (CS/ML variant of our high-school Math Academy program), which he taught remotely as an experiment during the pandemic year, will be starting PhD programs in quantum computing this fall: Eli at Michigan and Riley at UCLA. I emailed them both after discovering this (one is the son of a good friend from college), and after getting in touch with each other, they realized that they're researching almost the exact same topic! Quantum entanglement, I guess. 😀
English
Boy, 7yo , 21 days，MA 4th to IM1H 51%.
His aim is to finish AP BC at 9yo. @_MathAcademy_ @justinskycak @ninja_maths
English
昨天下班前开一个基于 autoresearch 方法论的实验
早上上班实验做好了，最佳参数选好了，解释非常科学有依据。
最近我用 autoresearch 方法论干 3 件事：
第一做实验
第二写文章
第三改进我的 skill
如果是新的实验或新的事项，我会先 plan ，再 smoke test 一下，防止跑不通，然后启动去睡觉
实践哥MinLi@MinLiBuilds
中文
Newstart retweetledi
Evidence that AI models can, indeed, learn "taste" in this paper where a small model, trained on citations, is able to predict which papers will be hits
Citations, upvotes & shares are signals that can teach AI judgment about quality, not just execution. arxiv.org/pdf/2603.14473
English
Newstart retweetledi
At Alpha School, motivation is everything.
I haven't been able to convince the 3 "not math/science" girls 👇to read Project Hail Mary - a sci-fi novel that celebrates problem solving, growth mindset, and science as the solution.
Maybe Ryan Gosling can. They've got tickets to the movie. We'll see if it leads them to the book.
Project Hail Mary@projecthailmary
Believe in the Hail Mary. Watch the final trailer for Project Hail Mary — only in theaters and IMAX, March 20.
English
Newstart retweetledi
Newstart retweetledi
I'm just thrilled to hear when kids are succeeding!
"Our son has been enjoying his time on Math Academy, making steady progress towards his SAT fundamentals goals. We've also found that he's made progress on another independent, objective metric: the NWEA MAP test score. Last year as an 8th grader he was placed in the low 80th percentile. He just got his 9th grade MAP score and he's now in the 91st percentile.
I personally believe the regular daily practice with him enjoying chasing XPs and wanting to stay in the diamond league has a lot to do with it. I love how your program homes in on missing fundamentals and drills those until he is proficient.
We've tried many online math learning tools, including Khan Academy, IXL, and Brilliant. I have to say, Math Academy is the best I've seen out there in terms of impact.
Thank you!"
English
Newstart retweetledi
A lot of schools have recently begun using Math Academy in their classrooms.
It automates all the mechanical parts of teaching:
-- writing questions,
-- keeping track of what students know and what they don't know,
-- monitoring student progress,
-- assigning extra practice when needed,
-- grading,
... all that grindy stuff.
None of these tasks is enjoyable. They suck.
I mean, we grinded through all that back when we were teaching ourselves, and it takes so much effort just to get even a halfway decent approximation of doing it right.
And there's just a limit to how well that you can do it if you're doing it manually.
It's the whole reason why we built the system.
And what that system does, what Math Academy does is it frees up teacher bandwidth to focus on the human elements of teaching: building relationships, connecting what students are working on to their own unique interests.
Those kind of things that enhance the learning experience, but that really can't replace skills practice.
I mean, in-class projects can be great, but only if students have the prerequisite knowledge to be successful with them.
If they don't, then projects are frustrating, and the students who understand the material end up doing all the work and carrying everybody else, who learn next to nothing.
It's inefficient and frustrating all around unless students have their skills in place.
Justin Skycak@justinskycak
Role of Teachers in the Math Academy Classroom New @_MathAcademy_ podcast episode with @exojason & @ninja_maths, posted here and everywhere else (see comment) 00:00 - Introduction 02:56 - What is the teacher’s role alongside Math Academy? 05:37 - Math Academy frees up teachers to do the human parts of teaching 07:03 - Projects are great if students have the prerequisite skills 07:42 - Drills without context are boring 08:43 - Games without skills are inefficient 11:14 - Build fun activities on top of a solid foundation of skills 12:15 - Teachers can tailor the class to the students’ preferences 13:28 - Implementing mastery learning is too much work for a single teacher 15:27 - Doing projects without prerequisites is frustrating 16:57 - True empowerment is giving kids the skills they need to succeed 19:30 - Missing skills compound in hierarchical skill trees 24:06: Lack of automaticity in lower level skills slows down higher level tasks 27:14 - The MA team builds and improves courses through experience 29:21 - The MA team targets tasks with low pass rates for additional scaffolding 31:03 - Alex built knowledge graph intuition through years of experience 37:40 - Social media enforces hyper-accountability 39:19 - Differential equations courses are often a hodgepodge of disjointed techniques 43:20 - Math Academy university courses are a superset of elite university content 45:18 - Differential equations is a highly branching subject 49:21 - The breadth of Differential Equations makes it often poorly taught
English
Newstart retweetledi
Role of Teachers in the Math Academy Classroom
New @_MathAcademy_ podcast episode with @exojason & @ninja_maths, posted here and everywhere else (see comment)
00:00 - Introduction
02:56 - What is the teacher’s role alongside Math Academy?
05:37 - Math Academy frees up teachers to do the human parts of teaching
07:03 - Projects are great if students have the prerequisite skills
07:42 - Drills without context are boring
08:43 - Games without skills are inefficient
11:14 - Build fun activities on top of a solid foundation of skills
12:15 - Teachers can tailor the class to the students’ preferences
13:28 - Implementing mastery learning is too much work for a single teacher
15:27 - Doing projects without prerequisites is frustrating
16:57 - True empowerment is giving kids the skills they need to succeed
19:30 - Missing skills compound in hierarchical skill trees
24:06: Lack of automaticity in lower level skills slows down higher level tasks
27:14 - The MA team builds and improves courses through experience
29:21 - The MA team targets tasks with low pass rates for additional scaffolding
31:03 - Alex built knowledge graph intuition through years of experience
37:40 - Social media enforces hyper-accountability
39:19 - Differential equations courses are often a hodgepodge of disjointed techniques
43:20 - Math Academy university courses are a superset of elite university content
45:18 - Differential equations is a highly branching subject
49:21 - The breadth of Differential Equations makes it often poorly taught
English
Newstart retweetledi
Newstart retweetledi
Newstart retweetledi
I'm delighted to announce that @_MathAcademy_ has released two courses in Mathematical Methods for the Physical Sciences.
Designed for students who want the mathematical tools needed for undergraduate-level study in physics, engineering, and other STEM fields.
Details below👇
English
Newstart retweetledi
“Study more” is useless advice.
Student will just keep rereading the textbook, doing worksheets. total waste of time.
So we built one of the most advanced diagnostics in the world.
400+ skills per course. So instead of "review Unit 5," I can tell you the exact 23 skills in Unit 5 you're missing.
English
Newstart retweetledi
I saw a guy studying math in Starbucks today.
Table: one book.
Tools: a pen and a stack of paper.
He wrote down a problem.
Then just… stared at it.
Five minutes.
Ten minutes.
Twenty minutes.
Like a psychopath.
No laptop.
No ChatGPT.
No YouTube “calculus in 10 minutes.”
Just a page full of symbols and a guy thinking.
Then he crossed everything out.
Started again.
More symbols.
More scratching on paper.
More staring into space like he was trying to summon Euler.
An hour later he had solved one problem.
One.
Meanwhile the guy next to him refreshed his email 27 times and watched two productivity videos.
Funny thing about math.
The people who look the least busy
are usually the ones actually doing the hardest work.
English
Newstart retweetledi
Most people think Richard Feynman was a genius because of his IQ, but an IQ test in high school reportedly placed his score around 125—impressive, but far below what you might expect.
What actually set him apart was a habit he developed very early on: metacognitive monitoring of understanding.
As a child, his father trained him to notice the difference between knowing a name and understanding the thing itself.
When Feynman observed birds, his father taught him that simply learning to label them as birds didn’t matter. What mattered was how they lived, how they behaved, and why. That lesson stayed with him.
As a student, Feynman became suspicious whenever an explanation felt simple but left him unable to reconstruct the reasoning himself. Phrases like “it’s obvious” or “it can be shown” were not reassuring to him; instead, they were red flags.
Modern cognitive science explains why this matters. Familiarity produces what’s called fluency, and fluency is routinely mistaken for understanding.
People feel most confident precisely when their comprehension is actually the thinnest.
Feynman learned to treat confidence itself as something to examine. Confusion, for him, wasn’t a failure—it was diagnostic information. A practical way to train this habit yourself is to stop mid-study and ask whether you could explain the idea without using the original terminology. Wherever your explanation breaks down, that’s the true boundary of your understanding.
English
