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Activate Learning. A new way to learn faster, retain more, as you build, impact the world or your IP, and prove your skills.

Mutual aid network that pays its members to help each other - promote gender equality, and transforms recruitment into a pool of donations for nonprofits

10/23/2026

Friday Game: Milestones or Wishes?

Imagine a student sets a big goal: Build an AI app for their school's food pantry by December. Here are six lines from their plan. Can you tell which ones are actual milestones and which are just wishes? Drop your answers below.

1. Learn more about AI.
2. Week 2: Interview 3 pantry volunteers and identify their #1 problem.
3. Get really good at Python.
4. Week 4: Build a working prototype that logs donations and demo it to one volunteer.
5. Stay motivated.
6. Week 6: Fix the 3 biggest problems identified by the volunteer and record a 2-minute demo.

Why does this matter? Because turning a big vision into real progress requires specificity. A milestone isn't just an idea. It has a timeline, tangible evidence, and someone who can evaluate whether you actually did it.

In an AI era, this distinction is even more critical. When students can generate polished work without doing the core thinking, the only credible signal is evidence that comes from real work over time. Process matters. Documentation matters. Iteration matters.

That's why GenHax focuses on challenge-based learning that generates documented evidence of what students actually built and how they got there. It's not just about the grade. It's about having proof.

What's your answer? Which statements are milestones? Comment below, and we'll share the full answer key, plus a research bonus that might surprise you.

10/13/2026

EDUCAUSE just released their 2027 Top 10 IT Issues for higher education, and it's worth a read if you're involved in curriculum, training, or learning design at any level.

Here's the big idea: institutions are shifting from 'what should students learn?' to 'how should students learn to think?' It's a fundamentally different approach, and it's being driven partly by the speed of change and partly by AI's emergence as a real collaborator in knowledge work.

The report argues for merging liberal arts thinking with practical workforce readiness. Instead of cramming specialized skills, the focus is on durable competencies: critical thinking, ethical judgment, adaptability, and how to work effectively alongside emerging technologies.

If you're designing learning experiences, whether in higher ed, corporate training, or L&D, this shift is worth discussing with your team. Are you building programs that help people learn how to think, or just teaching them what to think?

EDUCAUSE Annual Conference is Oct 14-15 if you want to dig deeper. What changes are you noticing in how your organization approaches learning and development?

10/09/2026

Young coders deserve recognition for their innovation and the Congressional App Challenge makes it happen. Hosted by Orlando Ross, MPA | District Representative, this initiative connects high school students with a real, motivating project: build an original app that solves problems and gets recognized by your own Representative.

What can you build? Past winners have created apps for educational tools and community solutions, with students free to use any coding language or technology stack. Now imagine enhancing these ideas with AI: predictive algorithms, natural language processing, intelligent automation, and machine learning that amplifies real-world impact.

What problems can you solve? Whether it's accessibility challenges, environmental tracking, civic engagement, healthcare support, or education gaps your app can address issues that matter to your community while following all official guidelines at https://www.congressionalappchallenge.us/congress/congressional-toolkit/.

Join us on October 26, 2026 at https://clarke.house.gov/

10/07/2026

Learning AI? Stop watching from the sidelines. 🎯

At GenHax, we're building a community where learners, educators, and problem-solvers come together. You don't just study AI—you apply it to real challenges that matter. Whether it's climate data analysis, cybersecurity research, or knowledge graph exploration, your work has genuine impact.

Undergrads build impressive portfolios. Career changers gain market-ready skills. Researchers get the help they need. Businesses tap into fresh talent and ideas.

This is experiential learning at scale. This is how AI education should work.

What real problem are you ready to solve? Drop a comment and tell us what challenge excites you! 👇

06/12/2026

This fortnight, read that twice: the kids who built AI designed the anti-cheating tool. Plus: AI makes critical thinking harder. - Two stories that **looked** like they disagreed.

On June 9, the White House honored the winners of the first Presidential AI Challenge. The elementary co-winners from Alcoa, Tennessee built "Homework Helper," an AI tool that guides students through problems instead of handing them answers. A team of 4th and 5th graders built the thing every worried parent wishes existed.

That same two weeks, 54% of K-12 teachers told NPR/Ipsos that AI makes critical thinking harder, and the U.S. Surgeon General warned about AI chatbots and youth well-being. EdWeek's headline put it plainly: "White House Honors AI Challenge Winners as Tech Backlash Grows."

Here's the thing. These stories are not in conflict. The worry is about kids *consuming* AI. The celebration is about kids *building* it. Two different verbs, and only one of them was on stage at the White House.

GenHax runs the year-round version of that verb, for college students and the workforce.

Program managers: NSF TechAccess: AI-Ready America ($224M, up to 56 hubs) closes its Round 1 letter of intent Tuesday, June 16.

Which stat from this fortnight would you put on the fridge? Tag a teacher who's already on the building side.

05/20/2026

Big news for every New York family this month.

The SUNY Board of Trustees just made AI literacy a graduation requirement for all 64 campuses. Every incoming undergraduate starting Fall 2026 will complete an AI literacy component as part of general education. Chancellor John B. King Jr. signed off on it April 30. Inside Higher Ed broke the story on May 4.

Boston Public Schools is doing the same in K-12 starting September. Google launched free AI training for 6 million U.S. educators last week. U.S. bachelor's degrees in AI grew 114% in just one year.

The AI literacy floor is being set everywhere. That is good news.

Here is the part we want to add to the conversation.

Knowing what an AI agent is, and being able to ship one, are not the same skill. Literacy is the syllabus. Building is the portfolio.

GenHax is New York based. While SUNY makes literacy mandatory, our learners have already been at the next floor: building real things on NSF-funded knowledge graphs, cybersecurity infrastructure, climate models, and homelessness support tools.

A few that are open right now:
👉 Code Your First AI App or Agent — the on-ramp with mentor hand-holding
👉 US NSF — Proto-OKN knowledge graphs, 90% of past learning engineers improved on their next AI project
👉 SECURE CHAIN, DREAM-KG, Climate Forecast — NSF-grade research challenges

Two deadlines for educators and program managers this week:
📌 Thursday May 21 — aiEDU Community Catalyst Letters of Intent ($25K and $50K grants)
📌 Wednesday May 27 — NSF FINDERS FOUNDRY Planning proposals (up to $50K, requires K-12 students throughout development)

If you are building a proposal for either: we have run the student-in-the-loop co-creation model 25+ times. We can plug in.

Question for the community: SUNY is setting AI literacy as the floor. What is the next floor for your students?

🔗 Live challenges: app.genhax.com/challenges
🔗 SUNY story (Inside Higher Ed): https://www.insidehighered.com/news/student-success/academic-life/2026/05/04/suny-sets-systemwide-ai-policy

05/13/2026

Exciting research news for educators: Stanford's Human-Centered Artificial Intelligence Institute just released a two-semester study tracking 2,400 students across 12 universities. The result is clear: when students learn AI through hands-on projects, they retain concepts 34% better than with traditional lectures.

This matters because it validates what many of you have suspected: theory needs practice to stick. Machine learning isn't something you can just listen to and understand. You have to build it, test it, break it, and rebuild it.

The challenge now isn't proving the method works. It's scaling it. Designing meaningful projects, mentoring students through real challenges, and creating communities where learners support each other, these require institutional support and careful planning.

If you're already doing project-based learning in your program, we'd love to hear your results. And if you're thinking about making the shift, this Stanford data gives you the evidence to make the case to your leadership team.

Full study: https://hai.stanford.edu/2026-ai-pedagogy-study

How are you currently structuring AI learning in your institution or training program?

05/05/2026

Three AI + education developments worth your attention.

1. A new NSF-funded study from MIT finds that project-based learning combined with AI feedback loops increases knowledge retention by 34% over traditional instruction. The research validates what experiential learning advocates have argued for years.

2. Google's newly released AI Overviews for Workspace now include citations and source attribution. For L&D teams, this is a critical step toward building defensible, audit-able training content.

3. OpenAI's o1 model shows significant gains in reasoning tasks, which matters for educators designing authentic problem-solving curricula. o1 vs Sonnet - we'd love your comments. The question: how do we teach students to think *with* these tools rather than around them?

What's the biggest shift you're seeing in how your teams approach AI literacy training?

05/01/2026

The Knowledge Graph Conference 2026 starts on Monday at Cornell Tech : 72 hours. Three days. Three moves for you!

**Friday (today): Pick a graph.**

Browse the Proto-OKN challenges at app.genhax.com.

18 NSF-funded knowledge graphs. Pick the one that bothers you most!

DREAM-KG (homelessness, Temple). SECURE CHAIN (software supply chains, Purdue). ClimatePub4KG (climate literature, Temple). SPOKE (drugs + space biology, UCSF + NASA GeneLab). FRINK (federation layer, RPI). And more!

👉 app.genhax.com/challenges

**Saturday: Build a thing.**

Open to non-tech. Block one focused hour. No tutorials. Explore the resources; find out how to explore the proto-OKNs from various KG explorers. Find Gaps. Design ways to bridge them.

**Sunday: Ship a draft.**

Post something visible, as a "Solution". A query that returned the right answer. A graph built from a CSV. A 60-second screen recording. Ship something this weekend, and we'll share your results with The Knowledge Graph Conference as they open on Monday!

Otherwise this week, Boston Public Schools committed to AI fluency for every high school graduate ($1M seed from Paul English). Penn State launched a 1-hour AI Essentials module for 88K students. The OECD reminded everyone that outsourcing to AI without learning leaves no skill behind once the AI is gone.

Literacy is the floor. Building is the ceiling. KGC 2026 is where the ceiling gets shattered.

👉 knowledgegraph.tech

Sources:

• KGC 2026 (May 4–8, Cornell Tech): https://www.knowledgegraph.tech/

• NSF Proto-OKN: https://www.proto-okn.net/

• Boston Public Schools AI fluency: https://www.wbur.org/news/2026/03/26/boston-public-schools-ai-literacy

• Penn State AI Essentials: https://www.psu.edu/news/academics/story/penn-state-launches-new-online-ai-essentials-literacy-course-employees

• OECD Digital Education Outlook 2026: https://www.oecd.org/en/publications/oecd-digital-education-outlook-2026_062a7394-en.html

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04/29/2026

The Education AI Gap Is Real

A major February 2026 Coursera study just dropped findings that should concern every educator and training leader: 95% of teachers now use AI tools in their work, but only 25% feel prepared to use them effectively.

That's a 70-point gap. And it's widening.

Here's why this matters: employers are moving fast. 78% of job postings now require AI literacy. Students entering the workforce expect it. Yet 70% of educators report receiving zero professional development to help students develop responsible AI skills.

The good news? When educators DO feel prepared, the impact is measurable. They save 5.9 hours per week on tasks like lesson planning and feedback. They're more passionate about teaching. They see AI as a tool to boost learning quality.

But here's the harder truth: global trust in AI is also declining. New 2026 data from Edelman shows that two-thirds of people in developed countries now want to avoid AI altogether. That disconnect between adoption and trust matters for how we teach AI literacy.

For organizations building training programs, the window is open. Early movers who invest in educator readiness now will lead. The question isn't whether to build AI preparedness programs. It's whether you'll do it before the talent gap becomes irreversible.

How is your organization tackling this? Are you partnering with external providers, building internal programs, or focusing on upskilling your L&D teams first?

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