Empowering Educators: Professional Development in the Age of AI

Let me be honest, even for seasoned educators, the rise of AI in the classroom can feel a bit like stepping onto a spaceship. Except instead of closing the hatch and preparing for launch we are inviting our teachers aboard and charting a shared course. Professional development in this era becomes not just helpful but essential and when it is designed with care it gives teachers the ability to treat AI tools not as replacements but as collaborative instructional partners.

We begin by building teacher confidence. When a prompt returns a skewed or fact inaccurate response, what the technical world calls a hallucination, it provides an opportunity to model critical thinking. Encouraging students and educators to ask does this align with history diverse viewpoints or community values fosters ethical awareness that helps everyone learn to question AI outputs and trust wisely.

Of course there are real concerns around equity access and privacy. Not every school enjoys reliable wi‑fi and not every teacher shares the same familiarity with AI technology. That is precisely why development must be ongoing and responsive. The need to safeguard sensitive student information is real and without layered training teachers risk exposing data inadvertently. Those issues are woven tightly into effective professional learning.

Up to now we have described the what and why but professional development with AI must also include the how. Educators become interpreters and learning coaches guiding students to use tools while nurturing empathy context and judgment. AI can take over repetitive tasks handle grading help plan lessons or personalize practice, but only when teachers remain at the center of instruction offering that human spark.

When teachers thrive students thrive. Equipping educators with knowledge tools and ethical guardrails enables AI to extend, not diminish, their expertise. The message we send is powerful even as technology transforms teaching human insight compassion and wisdom remain the heart of learning.

That combination of innovation and ethics is the promise and responsibility of professional development in this age of AI. 

Until next time…

Future-Ready Schools: Strategic Planning for AI Integration

If there’s one thing we’ve learned from Back to the Future, it’s that the future is full of surprises. But unlike Marty McFly and Doc Brown, we don’t need a DeLorean to prepare for what’s ahead. In education, we have the power to shape our future by strategically planning for the integration of artificial intelligence (AI) in our schools.

Before we can travel to the future, we need to ensure our current systems are ready for the journey. This means evaluating our existing hardware, software, and network capabilities to determine if they can support AI applications. Are our devices up to date? Do we have reliable internet access? Are our data storage solutions secure and scalable?

Just as Doc Brown had to learn how to operate the flux capacitor, our educators need to be equipped with the knowledge and skills to effectively use AI tools. Professional development should go beyond basic training; it should include hands-on workshops, collaborative learning communities, and ongoing support to ensure educators are confident in integrating AI into their teaching practices.

To navigate the complexities of AI integration, we need a roadmap. This means establishing clear policies that address ethical considerations, data privacy, and the responsible use of AI. Policies should outline acceptable use, data protection frameworks, and staff training requirements to ensure a safe and effective AI environment.

Just as Marty had to convince his parents to believe in the future, we must engage our community in the process. This involves transparent communication with parents, students, and staff about the benefits and challenges of AI integration. Hosting information sessions, surveys, and feedback channels can help build trust and ensure that all voices are heard.

The future is unpredictable, and our plans must be flexible. As we implement AI tools, we should continuously assess their effectiveness and make adjustments as needed. This iterative approach allows us to learn from our experiences and ensure that AI integration remains aligned with our educational goals.

As we look ahead, let's remember that integrating AI into our schools is not about replacing teachers or traditional methods; it's about enhancing the learning experience and preparing our students for a rapidly evolving world. By strategically planning and working together, we can ensure that our schools are truly future-ready.

So, as Doc Brown would say, "The future is what you make of it, so make it a good one."

Until next time...

Building Trust: Communicating AI Policies to Parents and the Community

As educators, we’re no strangers to change. From chalkboards to smartboards, from paper report cards to digital dashboards, we’ve adapted time and again. But the introduction of artificial intelligence (AI) into our classrooms feels different. It is more transformative, more immediate, and yes, a bit more intimidating.

I often liken it to the first time we introduced calculators into math class. Remember the debates? “They’ll never learn to do math without them!” Fast forward to today, and calculators are standard tools, not crutches. AI is on a similar trajectory, but this time, we must be more deliberate in how we integrate it.

When it comes to AI in education, transparency isn’t just a best practice, it’s a necessity. Parents and community members need to understand how AI tools are being used, what data is being collected, and how their children’s privacy is being protected. Without this clarity, we risk eroding trust and fostering skepticism.

A recent initiative by Ohio State University underscores this point. The university announced that all incoming students will be required to become "fluent" in AI as part of their education. While the goal is to prepare students for a rapidly evolving workforce, the move also highlights the importance of clear communication about AI's role in education .

Developing a clear AI policy is the first step in building trust. This policy should outline:

• Purpose: Why are we using AI? Is it for personalized learning, administrative efficiency, or both?

• Scope: Which AI tools are being used, and for what purposes?

• Data Privacy: What data is being collected, how is it stored, and who has access to it?

• Ethical Considerations: How are we ensuring that AI use is fair, unbiased, and inclusive?

Once the policy is in place, the next step is communication. It's not enough to send home a letter or post a policy on the website. We need to actively engage with parents and community members through:

• Information Sessions: Host workshops or webinars to explain AI tools, their benefits, and how they align with educational goals.

• Feedback Channels: Provide avenues for parents to ask questions, express concerns, and offer suggestions.

• Regular Updates: Keep the community informed about new AI initiatives, policy changes, and any incidents or issues that arise.

To make the concept of AI more relatable, I often draw parallels to pop culture. Remember the movie The Matrix? In it, humanity is trapped in a simulated reality controlled by machines. While it's a dystopian view, it serves as a cautionary tale about the unchecked use of technology. On the flip side, consider Big Hero 6, where AI is used to enhance human capabilities and foster positive change. These stories highlight the dual-edged nature of AI and underscore the importance of responsible integration.

Ultimately, building trust is about fostering a culture of openness, collaboration, and continuous learning. As we navigate the complexities of AI in education, let's remember that our goal is not just to teach students how to use AI, but to teach them how to use it responsibly and ethically.

By being transparent, engaging with our community, and continuously evaluating our practices, we can ensure that AI becomes a tool that enhances education rather than complicates it.

Until next time...

Personalized Learning with AI: Opportunities and Challenges

I like to think of personalized learning as having a GPS in your classroom. You know where you’re going, maybe mastering multiplication or crafting stronger sentences, but AI can help chart a route tailored just for each student. When it works well, it can turn broad highway learning into a scenic, engaging road trip that keeps every learner interested and growing.

AI tools, like intelligent tutoring systems or adaptive math practice, are already making that GPS dream come alive. They can assess student performance, detect where someone is stuck, and deliver the right challenge or support precisely when it's needed. Programs like Khanmigo and Khan Academy use AI to simulate tutoring for learners; students can work at their own pace, with hints and guidance modeled after expert teachers. 

Teachers also gain traction. AI can analyze homework or quizzes, highlight common misconceptions, and free up time that used to go to grading. That means more time for creative lesson designs, individual check-ins, and even better, playtime in the recess yard.

But here’s where the road gets a little bumpy. To fine-tune learning, AI systems collect lots of student data: what questions they get right, how fast they learn, sometimes even behavioral patterns. That creates a treasure trove for teaching, but also serious questions around privacy and data security .

We have to ask ourselves: How is this data stored? Who can access it? Do students and parents understand what’s happening behind the scenes? California districts, including ours, regularly check compliance with laws like FERPA and implement encryption protocols, privacy isn't optional, it's mandatory .

Then there’s bias. AI learns from past data, and if historical data reflects inequity, AI may reinforce it. That could mean unintended favoritism or penalizing students from underrepresented groups. We must stay vigilant. AI shouldn’t be the final word. Educators need to ask why a student is being assigned certain tasks and check for hidden patterns.

Another big concern: relying too heavily on technology. AI can suggest a prompt for a story, but it shouldn’t prevent teachers from sharpening student imagination or conversation. We don’t want classrooms where students sit silently while software does the thinking .

I’m reminded of a vivid scene: a fifth-grade teacher used AI to create a personalized reading plan for a student who lacked confidence. The program suggested text calibrated to that child’s reading level. But when they met to talk about the story, the student used rich, expressive language, something AI couldn’t generate. That human connection transformed what might have been just another lesson into a moment of empowerment.

We also must recognize the digital divide. AI tools are only meaningful if students can access them. That means districts must advocate for broadband in rural areas, device programs for families, and inclusive design so every learner benefits.

What does it mean to move ahead thoughtfully? First, pilot with clear purpose: small-scale trials in one grade or subject so we can evaluate impact before scaling up. Second, develop learning agreements with students and families that explain data use, consent, and what we do. Third, regularly review AI tools for bias and effectiveness, putting teachers and families in the decision-making loop .

AI-powered personalized learning holds real promise. Students who once struggled can thrive. Educators can refocus on connection and creativity, and classrooms can flex to each child’s pace. But like any powerful tool, it comes with responsibilities. We need strong privacy safeguards, training for teachers, equitable access, and ongoing oversight.

If we do it right, personalized learning with AI doesn't replace human educators, it enhances them. It lets us bring our best to every student, helping each to flourish. And that, after all, is the heart of teaching, no matter how smart our software becomes.

Until next time...

AI Fluency: Preparing Our Students for a Digital Future

 As I think about education, I’m struck by both anticipation and responsibility. AI isn’t the future, it’s our present. From healthcare to agriculture, AI is transforming professions across the board. Our mission is clear: students need AI fluency, not just awareness. They must know what AI is, how it functions, where it applies, when and why to trust it (or question it).

This isn’t hypothetical. Ohio State University’s AI Fluency initiative offers a bold model: beginning with the Class of 2029, all undergraduates will graduate with AI fluency embedded in their core curriculum. Students will learn generative AI basics in general education seminars, progress through workshops in their First-Year Success courses, and explore AI deeply via the “Unlocking Generative AI” elective. Provost Ravi Bellamkonda describes graduates as “bilingual”. They are fluent both in their field and in applying AI responsibly. That vision resonates in K–12 as well. A Digital Promise survey shows that 88% of parents believe AI literacy is essential, yet many worry traditional schools aren’t up to the task. The AI Literacy Framework from Digital Promise provides five practical approaches districts can adopt:

Guidance for Adoption & Evaluation – choosing AI tools that respect equity, data privacy, and transparency.

Integration Across Subjects – embedding AI in English, math, history, arts, and science—not confining it to electives.

Just-in-Time Professional Learning – timely teacher training on emerging AI tools.

Powerful Learning Experiences – student-led projects like chatbot design, algorithm audits, and prototype creation.

Awareness & Agency – fostering critical reflection on bias, privacy, and responsible use.

Effective AI fluency weaves together algorithmic thinking, data literacy, ethical reasoning, and creative expression. But AI fluency demands more than skills, it calls for ethical grounding. Ohio State prohibits using generative AI to cheat while encouraging its use for creativity and discourse. We must teach our students to treat AI as a partner, not a shortcut. They must question the data behind it, identify biases, and protect privacy.

AI fluency isn’t some distant priority, it’s now. A Pew survey shows teen ChatGPT usage doubled from 2023 to 2024 . Globally, some regions mandate eight hours of AI instruction annually starting in elementary school. Those who delay leave students behind.

As a public school Superintendent, I commit to a dual strategy:

Strategic Implementation: Start early and introduce AI concepts in elementary grades integrating across middle school subjects. We’ll adapt the Digital Promise framework, and draw further inspiration from Ohio State and MIT models.

Community Empowerment: Provide professional development for teachers, host workshops for parents, and establish student ambassador teams who spread AI fluency into homes and neighborhoods.

Our goal is simple: every student should be able to understand, evaluate, use, and critique AI. In doing so, we honor our fundamental educational aim: Not just to prepare students for what the world is, but for what it will become.

I envision students equipped not only to navigate AI-powered industries but to lead innovation within them. These will be students who don’t just adapt to the digital world, they drive its future. And in that, we see the promise of public education fulfilled.

Until next time...

10,000 Hours

Throughout my career in education, I have pushed the concept of incremental change. I believe in the power of small changes. I utilize it in my life. I teach it to my children. The true power of change is found in incremental change.  Look at erosion, plate tectonics, investment, and in my case, keeping the garage clean. Small changes over time will make a big difference. The evidence is all around us. This idea was much more pronounced in the book I recently read called ‘Outliers’ by Malcolm Gladwell. He presented several stories of success and boiled them down to the “10,000-hour rule”. His thesis is that mastery in any field requires about 10,000 hours of dedicated practice and that resonated with me. I know that meaningful growth is a product of consistent, focused effort over time. It doesn’t happen by chance and it cannot happen overnight. In education, that is why incremental change is so important. Success is the result of small, daily improvements that compound over time. Each lesson plan, classroom interaction, and professional development session contributes to the growth of teaching skills. Even the most seasoned teachers can refine their craft by embracing incremental change. Consider dedicating just 30 minutes each day to honing a specific skill. Whether it’s integrating technology, improving classroom management, or designing engaging lessons, it will add up to over 180 hours in a year. Over the course of a teaching career, these small investments yield significant dividends. The key is consistency. As I stated above, I not only utilize this approach professionally, I employ it in my private life. If our paths would have crossed two years ago, you would have seen me 80 pounds heavier. For health reasons, I decided to make a change. I had read an article in Runner’s World on ‘Streaking’ and it inspired me. So, on January 1st of 2023, I began streaking. No, not running around without clothes, (we will leave that action to the decade of the 70’s where it was born), but doing something with consistency and holding a streak. My streak was simple: run, walk, or jog a minimum of 2 miles a day. Today I am happy to say that I am at day 685 of my streak. Not only have I lost 80 pounds, but my blood pressure is lower and my resting heart rate is lower. These outcomes are a result of consistent, incremental change. As educators, our role is to guide students in breaking down large goals into manageable steps. For example, a student struggling with reading can benefit from 15 minutes of focused reading practice each day. Over time, this small effort leads to substantial progress. Similarly, in subjects like math, consistent practice with foundational concepts builds the skills necessary for tackling advanced problems later. In sport, it is about learning the fundamentals so well that the performance of fundamentally sound movement becomes second nature. As a guitar player, I no longer have to think about where to put my fingers, I just do it. When I think about it, I get slower. Gladwell’s 10,000-hour rule aligns with the powerful truth that hard work over time can lead to significant success. This idea is often illustrated with the concept of compound interest. Just as small investments grow exponentially in a financial account, incremental improvements in education compound to create profound transformation. The progress may seem slow at first, but over months and years, the results are undeniable. By focusing on incremental change, we remind ourselves and our students that every small effort matters. Together, we can build a foundation for long-term success, one hour, one day, and one step at a time. Make tomorrow better than today and begin your own streak.

Until next time...