MaplePrimes Announcement

Last week, we launched the Maplesoft Math Success Platform. 
 

Maplesoft Math Success Platform


This launch reflects a lot of conversations I’ve had over the past year with educators and institutions about what it means to teach and learn math in the age of AI. 

At first, many of those conversations were about visibility. If students were completing homework, quizzes, and other assessments with help from AI, those results became harder to interpret. Did students understand the work, or had they copied down a solution that made sense in the moment without building the understanding needed to do something similar on their own?

That visibility still matters. 

Over time, though, those conversations led to a more nuanced conclusion. The question is not simply how we prevent students from taking shortcuts. It is how we help them develop the mathematical judgment, intuition, and critical thinking they will need in a world where AI is part of how they learn and work. 

In some ways, that has become even more important. When answers are easy to generate, students need to be able to test ideas, recognize when something does not make sense, explain their reasoning, and trust their own thinking. 

That is why I am proud to share the launch of the Maplesoft Math Success Platform. 

Built on Maple, the platform brings together our math technology and extends it with analytics, AI-driven insights, targeted resources, and content expertise to help institutions support math learning in a more complete way. 

It gives instructors and learning support teams better insight into where students are struggling, supports the creation of better questions and learning experiences, helps students move beyond the answer, and helps institutions respond to a world where AI is now part of how students practice, study, and get help. 

You can learn more about the Maplesoft Math Success Platform on our website.

We also wrote more about the thinking behind this launch in our new whitepaper, Math Education in the Age of AI: From Grading Answers to Understanding Student Progress. It looks at why math education needs a new approach in the age of AI: one that helps instructors ask better questions, create learning experiences that build understanding, and use learning signals to see where students need support.

Math success in the age of AI requires a new approach

I’d love to hear what you think. How are you seeing AI change the way students learn, practice, and get help in math? And what kinds of tools or approaches do you think will be most important as math education continues to evolve?

 

Featured Post

1471

A little while ago, I created a video, Engaging and Enlightening Students with Maple Visualizations, that showed a sample of Maple visualizations that would be helpful in teaching math. Doing that allowed me to get reacquainted with some of Maple's plotting features that I hadn't used for a while. As a result, I made a second instructional video for my Maple tips series, Animating a Polyhedron in Maple

I chose this topic because I thought it would show several features in Maple that might not be known to all users. I list them below and encourage you to try them out.

  • The plots:-polyhedraplot command allows you to create a 3-D plot of a polyhedron, including one of 138 polyhedra that Maple knows about.

  • The list of named polyhedra available can be obtained by calling the plots:-polyhedra_supported command.

  • The viewpoint option, which allows you to create an animation by varying the viewpoint through a 3D plot, can be used to rotate the polyhedron.

  • Finally, the Export feature allows you to save the plot animation as an animated GIF.

 

Featured Post

Every four years, the world comes together to watch one of the most anticipated sporting events in history: the FIFA World Cup.

Behind all the anticipation, venue planning, and media fanfare, there are many artists and researchers who devote themselves to designing a new FIFA World Cup ball to be rolled out for the public eye (pun intended).

This post presents an overview of the geometric ideas behind the design of the FIFA 2026 "Trionda" ball, using Maple to visualize and explore these concepts in depth. The ideas presented here were inspired by this Scientific American Article. For more information and facts about the 2026 Trionda ball, as well how the shape of the ball impacts play on the pitch, I suggest you check it out!

FIFA ball designs are often inspired by one of the 5 Platonic solids. A Platonic solid is a convex polyhedron with each face being the same regular polygon with the same number of faces meeting at each corner.

This year, the Trionda ball was constructed from the simplest of these shapes, the tetrahedron, consisting of 4 triangles, with 3 faces meeting at each corner. Of the five Platonic solids, this shape has the fewest faces, making it the least sphere-like. Turning such a simple polyhedron into a smooth ball is therefore a surprisingly challenging geometric problem.

  

 

So how can we turn our pointy tetrahedron into something that rolls? Rather than trying to transform the entire tetrahedron at once, we can start by redesigning a single triangular face. The goal is to create a curved triangle that will fit perfectly with three identical copies of itself while covering the surface of a sphere.

 

 
 
Notice that in the above diagrams, the transformed triangle has the same area as the original triangle. Although the edges have been reshaped, no area is added or removed, only redistributed. Preserving the area ensures that four identical curved panels can still cover the sphere completely without leaving gaps or overlapping.
 
Now that we know how to change one face of the tetrahedron, we need to perform the same sort of transformation (from a triangle to a curved tile), on the surface of a sphere. To start, we can inscribe the tetrahedron inside the sphere, like this:
From here, we can project the edges of the tetrahedron onto the sphere, creating six great-circle-arcs (also known as geodesics) as shown in the diagram below.
Each region enclosed by these geodesics corresponds to one triangular face of the tetrahedron within the sphere. By transforming each geodesic triangle into a smooth curved tile (using a bit of AI help), we create a tiling of the surface similar to that of the 2026 FIFA World Cup ball!
Because each curved tile maintains the area of the geodesic-generated region, the four panels form a complete tiling of the sphere. 
 
I would have liked to find a better function between the points on the sphere that resemble the actual Trionda ball more accurately but didn't get the chance to dive into that. If you want to take on the challenge and are successful, please reply in the comments.
 
To see the Maple Worksheet used to generate these diagrams, check out: Trionda Ball Worksheet


Formal Power Series

Maple asked by Roy Hughes... 50 July 05

eBook help video?

Maple 2026 asked by Ronan 1421 Today