Nueces Innovation StoryWorks Insights | STEM, AI, and Curiosity

Meet Generation Alpha

Sun, 01 Feb 2026 19:00:56 GMT

The Birth Years Shaping the Curiosity and Innovation of Tomorrow’s Problem-Solvers

Watching my own Generation Alpha kids grow up in the AI era changed how I think about learning and innovation. Generation Alpha (children born from about 2010 through 2024) is constantly surrounded by information. Australian social researcher Mark McCrindle, who coined the term Generation Alpha, explains how this age group: “...will be the most formally educated generation ever, the most technologically supplied generation ever, and globally the wealthiest generation ever.”¹

We're raising the most educated, connected, and resource-rich generation in history, yet they desperately need environments that protect their innate curiosity. Saving Curiosity addresses this paradox through five foundational lessons about how Generation Alpha actually learns best.

1. Purpose Is What Motivates Them

Technology alone doesn’t excite them. Meaningful problems do.

Book connection : Learning experiences must focus on real challenges.

2. They Learn by Doing

Hands-on exploration keeps them engaged far longer than passive instruction.

Book connection : Saving Curiosity centers on project-based learning and reinvented science fairs.

3. They’re Used to Iteration

Retrying, updating, and improving feels natural to them.

Book connection : Innovation is framed as a process in which mistakes are feedback.

4. They Care About Impact

They want to know why something matters.

Book connection : Projects connect to community and real-world outcomes.

5. Their Curiosity Is Powerful, but Fragile

Fear, pressure, or over-structuring can shut them down.

Book connection : The book focuses on creating environments where questions are safe and wonder is protected.

Generation Alpha will have unprecedented access to education and technology.¹ But innovation will not come from access alone. It will come from curious minds given space to explore meaningful problems, which is exactly why I wrote Saving Curiosity , coming in 2026.

Maharlika Connor

Author of Saving Curiosity

Source: Mark McCrindle, “Generation Alpha: Mark McCrindle Q & A with The New York Times,” McCrindle Research, accessed February 1, 2026, https://mccrindle.com.au/article/topic/generation-alpha/generation-alpha-mark-mccrindle-q-a-with-the-new-york-times/ .

Curiosity Matters More Than Ever in the AI Era

Mon, 19 Jan 2026 17:32:56 GMT

We are raising children in a world where answers are everywhere, but curiosity is what will set them apart.

A child can ask a phone, or now an AI chatbot, almost anything and get an instant response in seconds, from homework questions and science questions to history facts and even full essays. So the real question for parents and educators isn’t “How do we get kids to learn more information?”, but "How do we keep them curious?" Because in the AI era, curiosity is no longer a “nice-to-have.” This skill is now an advantage. It’s the difference between a child who becomes a passive consumer of technology… and one who becomes a creative, confident builder.

Albert Einstein said it best: “I have no particular talent. I am merely inquisitive.”

That quote hits differently today. Einstein was not celebrating genius as something mysterious or unreachable. He was pointing to something far more accessible and far more important: curiosity. Curiosity is the spark behind every breakthrough. It is what makes a child ask, Why does this happen? What if I try it a different way? How could I test this? What would happen if…? Curiosity is the beginning of science and of leadership, and it may be one of the most important qualities our kids carry into the future.

Why I Wrote Saving Curiosity

Saving Curiosity is a practical, parent-friendly guide for raising curious kids in the AI era. Inspired by real science fair moments in my own life as a mom, the book grew from my realization that science fairs are about far more than experiments. They help children build confidence, communication, critical thinking, perseverance, and, at the heart of it all, curiosity. Curiosity is the beginning of everything, and in the AI era, it may be the most important thing we protect.

Maharlika Connor

Author of Saving Curiosity

Source: Albert Einstein, quoted in Carl Seelig, Albert Einstein: A Documentary Biography (New York: Staples Press, 1956), 31.

Coaching with AI: A Basketball Science Fair Project

Sun, 18 Jan 2026 20:01:38 GMT

Can AI Recognize Good Basketball Shooting Form?

What if a computer could see the difference between strong basketball shooting form… and form that needs work? That was the problem statement behind my youngest son's elementary science fair project this year. And as his mom, watching him turn basketball practice into a real research question was one of those parenting moments you don’t forget.

I’m also writing this as the author of Saving Curiosity , a forthcoming book about helping kids stay curious (and confident) in the AI era. This project was a perfect example of what I mean regarding how AI doesn’t have to replace learning; it can create it. We didn’t start with complicated technology. We started with a simple curiosity: Can a simple AI model learn to recognize good shooting form using labeled images?

My husband helped coach the form. He’s my son's recreational basketball coach AND a former Nebraska high school basketball state champion, so he knows what “good form” really looks like: balanced feet, elbow in, steady release, and consistent follow-through. So while my son brought the curiosity… Dad brought the championship-level details.

We used Google Teachable Machine, a free tool that lets kids train a small AI model. The app works by having users upload examples for the computer to review, then clearly label them. From there, the AI studies the patterns in the examples and learns how to make predictions based on what it has seen.

Easy enough for elementary school, but still real machine learning. For the experiment, we picked clear shooting-form categories that the AI could learn. Next, we collected training examples by turning this into an “AI practice drill,” where my son recorded short video clips while keeping conditions as consistent as possible using the same background, similar lighting, a full-body view, one pose at a time, and correct labels every time because the biggest lesson we learned was that AI is only as good as the data you feed it. Finally, we trained the model and tested it live with slightly different angles, tiny stance changes, and even a different location to see how well it could recognize shooting form in various conditions.

What we learned was that the AI didn’t magically get smarter; instead, it revealed the real science fair takeaway was that data quality matters more than people think. When we controlled the environment, the model improved, but when lighting or angles changed, the AI got confused, and that wasn’t a failure; it was learning, since that’s exactly how real-world AI behaves. Inconsistent data leads to unreliable predictions, while controlled data leads to stronger accuracy.

Why this project matters (beyond basketball) is that although basketball was the theme, the skills were much bigger, because my son practiced asking a strong research question, building categories and hypotheses, collecting consistent data, testing variables, and learning AI as a tool rather than a shortcut. And as a parent, I loved seeing him realize that he can test, adjust, and improve the same way real researchers do.

A quick note from me as the author of Saving Curiosity . This project is exactly what I’m trying to protect in kids: curiosity, and the confidence to ask, “What if?”, “How can I test it?”, and “What happens if I change one thing?” because that mindset will matter more than ever in the AI era. Our kids won’t just use AI someday. They will need to understand it, challenge it, improve it, and ultimately lead with it.

If this post resonates with you, I would love for you to follow along for more kid-friendly science fair ideas and AI learning projects, and to stay connected as my book Saving Curiosity releases in 2026 and focuses on raising curious thinkers in the age of AI.

Maharlika Connor

Author of Saving Curiosity

Source: Google, Teachable Machine, a free web-based tool that allows users to train simple machine-learning models using labeled images, sounds, or poses—no coding required. https://teachablemachine.withgoogle.com/

Welcome to Nueces Innovation StoryWorks

Sun, 18 Jan 2026 04:33:00 GMT

Every story we publish serves a purpose.

We believe books can spark curiosity, illuminate scientific discovery, and transform how people see their world.

Nueces Innovation StoryWorks was created to publish titles that support modern STEM learning, innovation education, and curiosity-driven thinking for the AI era. This blog will share publishing updates, behind-the-scenes progress, and practical ideas for families, educators, and communities who want to raise curious thinkers and future innovators.

Our first title in development is Saving Curiosity by Maharlika Connor , a forthcoming nonfiction book written from a mom’s perspective. It explores how families can embrace AI as an enabler without letting it replace discovery. It also shows how science fairs, when done well, can help kids build confidence, communication, perseverance, and real-world problem-solving skills.

Thank you for being here at the beginning. We are just getting started.

The Nueces Innovation StoryWorks Team