AI in Education vs. AI Education: Why Policy and Practice Must Move Together (Part I)

July 21, 2026July 18, 2026Dr. Rachelle Dené Poth Leave a comment

Posted via my LinkedIn page and ThriveinEDU newsletter.

Over the past year, I’ve had the tremendous opportunity of working with district leaders, educators, students, families, and even policymakers across the country. Throughout this work, one question has come up repeatedly:

Is there a difference between AI in education and AI education?

I will pause…to let you consider.

For me….

My answer is always yes.

Although the terms are often used interchangeably, they represent two distinct priorities. AI in education focuses on how artificial intelligence is being implemented in teaching, learning, and school and district operations.

AI education focuses on helping students understand artificial intelligence itself. They know how it works, how it generates information, how it influences decisions, and understand that it will shape their futures. These two phrases are not the same, and not having a clear distinction creates gaps in policy, instruction, and student preparedness.

When people hear “AI in education,” they often think about tools and how they are being used. One example I have shared is a student using AI to generate a first draft of an essay. AI in education asks: What classroom expectations and policies should guide this use?

AI education asks: Does the student understand how the AI generated that response, what biases may exist, and how to evaluate its accuracy?

In my work, I’ve come up with a series of questions as starting points for conversations:

How are schools using AI platforms?
What tools are allowed, and who is vetting them?
How are educators integrating AI into instruction?
What policies are in place or are needed to guide its use?

These are just a few of the important questions that need to be considered and answered specifically for AI implementation. However, there is another conversation that is equally important to have in our schools, and the focus is on AI education.

AI education is more than tools. It is about preparing students to understand artificial intelligence, how it works, how it processes and generates information, how it influences decisions, and how it will impact their future.

Both are important, and from the many opportunities I’ve had to work with educators and speak with students, it seems there is confusion. We need to align on the meaning of these terms so we can fully provide the learning support our students and schools need.

What I’ve Seen in Schools

Across the districts I have supported, interest in artificial intelligence has increased. During the past year, I’ve seen the mindset shift from one of hesitation to exploration.

Educators are curious. Students are experimenting. Leaders are asking thoughtful questions and also seeking guidance for their schools.

But when it comes to AI implementation, whether school- or district-wide, it is not always consistent, and consistency matters.

Some schools are exploring AI tools without clear guidance, while others are restricting its use out of caution. And some are writing policies without fully understanding and addressing classroom realities. And this is why I recommend that administrators involve educators, students, and families in the conversations or create a task force specific to AI. By doing this, schools can better understand how AI is being used, the support students receive at home and at school, and what their needs are. Because in many places, students are using AI outside of school without learning how to use it responsibly, which creates yet another gap.

It creates a gap between access and understanding and between use and responsibility. However, by establishing a policy and ensuring consistent implementation, we can work toward closing the gap and making meaningful progress in an increasingly AI-surrounded world.

This Also Matters for Legislators

Artificial intelligence is not a future issue. It is a present reality shaping:

How students learn
How educators teach
How information is created and consumed
How future work will be defined

Legislators throughout the country are increasingly being asked to make decisions about data privacy, student protection, AI tool access, digital equity, and workforce readiness. These are important decisions that carry real implications for classrooms.

But having an effective policy requires more than regulation. It requires understanding how AI is actually being used and how it should be used in educational environments.

I’ve reached out to and spoken with legislators from different states over the past six months, and some of the common thoughts around policies are:

-Policies that focus only on restrictions will fall short.

-Policies that ignore implementation will create confusion.

And policies that fail to address AI education will leave students unprepared.

Why Does This Matter for Educators

Educators are at the center of the shift in classroom instruction, especially now with AI. Educators are adjusting to technological changes, navigating new tools, fielding student questions, balancing innovation with responsibility, and working to support student learning in real time.

My own research showed that many educators are being asked to adapt without the necessary guidance or support. I’ve been asked many times:

“Do I need to teach about AI?”
“What should I allow in my classroom?”
“How do I know if students are using AI appropriately?”
“How do I design lessons where students are still doing the thinking and not having AI do the work for them?”

These are not simple questions with simple answers. They are instructional, ethical, and professional questions. And these questions require communication and preparation, and not just policy. It is a process and an iterative one.

The Risk: Where Do We Focus?

If we focus only on AI in education, we risk:

over-reliance on tools
inconsistent expectations
unclear boundaries for educator and/or student use
missed opportunities for deeper learning

If we focus only on AI education, we risk:

teaching theory without application
disconnecting learning from real-world tools
failing to prepare students for how AI is actually used now and the future possibilities

The solution? It’s not about choosing one over the other, but rather finding a way to align both in our schools, because that is how we guide students toward success.

What Alignment Looks Like in Practice

Across the districts I support, I see the most progress when schools intentionally connect AI in education with AI education. Schools making progress have:

Clear Expectations for Use: Students and educators understand when and how AI can be used, and what responsible use looks like.

Instruction That Builds Understanding: Students are not just using AI. They are learning how it works, the importance of questioning it, and how to evaluate its outputs.

Professional Learning for Educators: Teachers have the time, support, and guidance to meaningfully integrate AI into instruction. And this is consistent and ongoing throughout the year.

Policy That Reflects Practice: Policies are designed with classroom realities in mind and focus on guidance rather than restriction. Schools have committees or task forces to be better informed and able to adjust as needed.

Ongoing Conversations: Schools engage students, educators, and families in discussions about AI, digital wellness, and responsible technology use.

AI Literacy Is Workforce Literacy

The students graduating now will enter a workforce shaped by automation, intelligent systems, and rapidly evolving expectations regarding their skill sets.

According to global workforce trends and the World Economic Forum’s Top 10 Skills for 2030, technological literacy, AI understanding, and cybersecurity awareness are among the most in-demand skills for the coming decade.

And when it comes to AI literacy, we must remember that it is not just about technical knowledge. It is about:

critical thinking
ethical decision-making
information evaluation
adaptability
communication

These are the essential, in-demand skills that must be intentionally taught in our classrooms through a variety of learning opportunities and supports.

We Share Responsibility

Preparing students for an AI-shaped future requires collaboration between:

Educators
School leaders
Policymakers
Families
Communities

Each group plays a role in preparing students and guiding them toward future success.

Legislators can create frameworks that support responsible implementation and that focus on protecting students.

Educators can design learning experiences that build understanding and confidence and model appropriate and safe use of AI for students in their classrooms.

School leaders can align systems, expectations, and communication.

When everyone is involved in navigating the AI space together, it creates coherence.

Artificial intelligence is changing education. It is moving fast, however, when it comes to our work, the most successful systems are not those that move the fastest. Success comes with clarity. Clarity about expectations. Clarity about purpose. Clarity about how technology supports learning rather than replacing it.

Across the country, I have seen schools and districts working to build that clarity and consistency. They are asking questions and working together to find answers as a start. They are not seeking perfection, just ongoing progress.

Preparing students for the future

We cannot prepare students for the future by focusing only on the tools they use today. We must also prepare them to understand the systems shaping their world.

And the decisions we make now, at both the classroom and policy level, will determine whether students are ready not just to use technology, but to think critically, act responsibly, and lead in a world where artificial intelligence is part of everyday life.

That is the work ahead, and it is definitely the work worth doing.

AI in education matters, but AI education matters just as much. Think about your school and district. Are these distinctions clear? Stay tuned for part II in the series, with actionable strategies, and contact me to provide training for your school.

Subscribe to my ThriveinEDU newsletter to stay informed.

If Your Organization Is Beginning This Work

I help schools and other organizations (law firms, healthcare professionals, business owners) implement AI responsibly through policy guidance, professional learning, and classroom-ready strategies grounded in both instructional practice and legal insight.

My sessions focus on helping teams:

• understand what AI can and cannot do

• recognize responsible-use considerations

• build confidence using emerging tools

•align implementation with organizational priorities

If your school, district, or organization is beginning conversations or looking to dive in and learn more about AI policy, professional learning, or responsible implementation, I’d welcome the opportunity to support your next steps through leadership workshops, keynote sessions, or strategic planning partnerships.

Preparing people is what makes AI implementation successful. Contact me via bit.ly/thrivineduPD for my training and speaking services.

Image generated by Canva AI that shows neural network and AI in the center.

Leading Forward in AI, Part VII: Building Professional Learning Systems That Last

July 7, 2026July 3, 2026Dr. Rachelle Dené Poth Leave a comment

How do we build sustainable professional learning systems for educators?

In the first six parts of this series, I shared what I’ve been learning from working with district leadership teams across the country as they navigate artificial intelligence, digital wellness, and purposeful technology use. Over the course of my Leading Forward Series, I’ve shared what I’ve been learning from working with district leadership teams across the country as they navigate artificial intelligence, digital wellness, and purposeful technology use.

We’ve explored:

curiosity over fear
educator readiness
leadership and systems
measuring what matters
trust as the foundation
designing for thinking
true partnerships

These conversations led to a bigger question, which is how do we build systems that last? Because the goal is not to have one answer and end the conversations, it is to prepare schools to adapt continuously to be ready to meet the changing educational landscape.

After reviewing my notes, reflecting on conversations, and gathering insights from surveys, I noticed some key takeaways.

One-time Training Is Not a Strategy

One of the most common concerns expressed was that professional development is often seen as a one-time event. Sometimes it is a workshop, maybe a keynote, or a specific training session focused on a new platform or a mandate. These are all valuable learning experiences, but they are not enough, especially with the rapidly changing technologies we are seeing in education and the world.

Artificial intelligence is evolving so fast, new tools are emerging constantly, and expectations are frequently changing or, at times, may be inconsistent. A single session is not enough to prepare educators to adapt to ongoing changes. Schools need sustainable systems for learning.

What Sustainable Professional Learning Looks Like

In the districts I support, I have noticed several common characteristics that have positively impacted the educators and ultimately students and families.

1. Learning is ongoing, not just an event.

It is embedded in the school year. Educators have regular opportunities to explore new tools, reflect on practice, share strategies, and learn from one another. It should also be a time for educators to explore new ideas in the classroom and partner with students to gather additional feedback and to learn together.

2. Learning Is Collaborative

Powerful learning does not happen in isolation. It happens when educators work in teams, have opportunities to observe one another, take time to share successes and challenges, and build collective understanding. Collaboration like this leads to system-wide progress and better outcomes for educators and students.

Continue reading via my newsletter on LinkedIn.

If Your Organization Is Beginning This Work and is Seeking Consistent Support, Contact me:

My sessions focus on helping teams:

• understand what AI can and cannot do

• recognize responsible-use considerations

• build confidence using emerging tools

•align implementation with organizational priorities

Preparing people is what makes AI implementation successful. Contact me via bit.ly/thrivineduPD for my training and speaking services or reach out via email, Rdene915@gmail.com.

Leading Forward, Part V: How Do We Know It’s Working? Measuring What Matters in an AI-Driven World

June 2, 2026June 1, 2026Dr. Rachelle Dené Poth 2 Comments

Throughout this series, I’ve shared what I’ve learned from working alongside district leadership teams across the country as they navigate artificial intelligence, digital wellness, and purposeful technology use.

We’ve explored:

why curiosity is replacing fear
why educator readiness is the foundation
why leadership and systems matter

But there is another critical question schools must answer:

How do we know if it’s working? Because implementation is not the goal. Impact is.

The Problem With Measuring the Wrong Things

Screen time and effective use of technology are hot topics in conversations happening in schools across the country. In many districts, success with technology has typically been measured by:

number of devices available, so all students can participate in learning
tool adoption rates
platform usage
logins and activity

These metrics are easy to track. But they don’t tell the full story. I’ve said it many times in various ways, but a classroom full of students using devices does not automatically mean that impactful, meaningful learning is happening. Nor does it show true student engagement just by the use of devices.

More technology use does not automatically lead to deeper learning.

More screen time does not equal greater engagement or better outcomes

So we have to really think about what we are measuring. If we continue measuring what is easy, we risk missing what matters most. And we might miss providing the best learning experiences for students.

What Should We Be Measuring Instead?

Across the districts I work with, the leadership teams are beginning to shift their focus.

The districts making the most progress are beginning to ask different kinds of questions:

Are students thinking more deeply?
Are students asking better questions?
Are students able to evaluate information more critically?
Do students understand when and how to use AI responsibly?
Are students being guided in how to use technology and why they are using it?
Do educators feel confident in their instructional decisions?
Are they supported as technology changes?

These are harder to measure, but they are far more meaningful and provide greater insight that schools can act upon.

Indicators Schools Are Moving in the Right Direction

There are some clear indicators I have seen and read about that show schools are moving in the right direction.

1. Student Thinking Is Visible

Students are not simply submitting AI-generated responses. They are explaining their thinking, reflecting on their process, questioning outputs, and making revisions. They are being guided and understand how to use AI as support, not a replacement.

2. Educators Are Making Intentional Decisions

Teachers are not asking whether they can use a certain tool or platform. Instead, they are questioning when they should and what the impact will be. This shift shows greater confidence in the purposeful use of technology and in intentional lesson design. Quality over quantity.

Continue reading the rest and subscribe to my newsletter on LinkedIn.

Subscribe to my ThriveinEDU newsletter to stay informed.

If Your Organization Is Beginning This Work

I help schools and other organizations (law firms, healthcare professionals, business owners, psychologists) implement AI responsibly through policy guidance, professional learning, and classroom-ready strategies grounded in both instructional practice and legal insight.

My sessions focus on helping teams:

• understand what AI can and cannot do

• recognize responsible-use considerations

• build confidence using emerging tools

•align implementation with organizational priorities

Preparing people is what makes AI implementation successful.

Contact me to work with you or speak at your event. bit.ly/thriveineduPD See testimonials about my work via my website.

Leading Forward in AI: From AI Conversations to Sustainable Systems (Part IV)

May 28, 2026May 25, 2026Dr. Rachelle Dené Poth Leave a comment

In my last article, I shared what I’ve been learning from working with district leadership teams across the country as they navigate questions about artificial intelligence, digital wellness, and purposeful technology use. That work has provided me with insightful information and meaningful opportunities to learn from educators, students, and families.

Throughout these conversations, one message continues to stand out:

We cannot begin, and we cannot stay focused only on the tools and the tech.

We must move forward.

The Shift Schools Must Make Now

In Part II, I emphasized that educator readiness is the foundation of successful AI implementation. Schools that prioritize supporting educators are the ones seeing the most progress. And it starts with leadership and consistency. But readiness alone is not enough.

What I have learned from working with school Task Forces across the country is that they have had many conversations around AI, screen time, and tech use. They have explored the possibilities and understand the urgency with these topics, but they also have a similar question.

What do we do now? And this is where I believe that leadership matters most.

Moving From Conversations to Systems

Across the districts I continue to work with, I see a clear difference between schools that are talking about AI and schools that are leading with AI. I also see a difference between AI in education and AI Education. I recently met with a State Representative in Pennsylvania, and we had this conversation as well. The difference I’ve noticed and that we discussed is not just access to tools. It is about the presence of a system. Schools making meaningful progress are not relying on isolated efforts when they find time. Instead, they are building structures with a lens on consistency, clarity, and sustainability.

The system they are developing is focused on having:

clear expectations for the responsible use of all technology
consistent messaging across classrooms and grade levels
ongoing professional learning opportunities with follow-up support
shared language for students, staff, and families
opportunities for student voice and feedback

When these are part of the conversation, AI implementation becomes less about individual decisions, which leads to inconsistency, and becomes more about a goal for collaborative and collective progress.

Consistency Builds Confidence

One of the most common challenges I have been hearing from both educators and students is inconsistency. I’ve met with student groups, interviewed educators, spoken with parents, and heard similar comments from educators and parents across the country.

In one classroom, the use of technology, and specifically AI, is encouraged. In another, it is restricted. In one classroom or school, the expectations are clear and known to all. In another, they are undefined or inconsistent.

Continue reading on LinkedIn and subscribe to my newsletter there as well.

Preparing people is what makes AI implementation successful.

Contact me to work with you or speak at your event. bit.ly/thriveineduPD See testimonials about my work via my website.

About Rachelle

Dr. Rachelle Dené Poth is a Spanish and STEAM: What’s Next in Emerging Technology Teacher. Rachelle is also an attorney with a Juris Doctor degree from Duquesne University School of Law and a Master’s in Instructional Technology. Rachelle received her Doctorate in Instructional Technology, with a research focus on AI and Professional Development. In addition to teaching, she is a full-time consultant and works with companies and organizations to provide PD, speaking, and consulting services. Contact Rachelle for your event!

Rachelle is an ISTE-certified educator and community leader who served as president of the ISTE Teacher Education Network. By EdTech Digest, she was named the EdTech Trendsetter of 2024, one of 30 K-12 IT Influencers to follow in 2021, and one of 150 Women Global EdTech Thought Leaders in 2022.

She is the author of ten books, including ‘What The Tech? An Educator’s Guide to AI, AR/VR, the Metaverse and More” and ‘How To Teach AI’. In addition, other books include, “In Other Words: Quotes That Push Our Thinking,” “Unconventional Ways to Thrive in EDU,” “The Future is Now: Looking Back to Move Ahead,” “Chart A New Course: A Guide to Teaching Essential Skills for Tomorrow’s World, “True Story: Lessons That One Kid Taught Us,” “Things I Wish […] Knew” and her newest “How To Teach AI” is available from ISTE or on Amazon.

Leading Forward Part II

May 12, 2026May 2, 2026Dr. Rachelle Dené Poth Leave a comment

Preparing Educators for an AI Future Means Preparing Leaders First

In my last article, I shared my thoughts about what I’ve been learning from working with district leadership teams across the country as they navigate questions about artificial intelligence, digital wellness, and purposeful technology use. My work has provided me with tremendous opportunities to learn from educators, students, and families.

Conversations about screen time, purposeful technology use, and digital balance are happening everywhere. What I’ve found most insightful is when students and educators have the chance to sit down and engage in open, honest conversations about these topics and learn from one another. I’ve noticed a common theme in most of these conversations. We have to focus on more than just the technology, especially when talking about AI use in schools. Frequently, the focus is first on specific tools. When talking about artificial intelligence happening in schools, the questions have been:

Which platform should we allow? What should students be permitted to use? What policies do we need?

These are important questions. But they are not the first questions schools should be asking.

The first question schools should be asking is:

How prepared are our educators to lead in an AI-shaped learning environment?

Successful implementation is not about technology adoption.

Introducing AI into classrooms is easy. Supporting educators to understand how to use it meaningfully is the real work. And with support comes confidence.

Educator readiness is the real implementation strategy

Across the districts I have worked with, I’ve noticed that the biggest predictor of successful AI integration is not the access to tools, but whether or not educators feel supported as they navigate the changes happening.

I believe that schools will see more progress and success when there are goals set. Educators must have time to explore. Expectations need to be communicated clearly and with a consistent message. Policies must be in place, and they should emphasize guidance rather than restriction. AI implementation and any technology integration succeed when educators understand not only how to use tools, but why they should use them, and what the impact is on student learning. This is what I am hearing from students around the country.

Across classrooms nationwide, students are using an increasing number of digital tools in their classes. However, I am hearing from them that they are not always consistently guided on how to use them safely, ethically, and responsibly. Students wanting clarity is a powerful insight. Students wanting more purposeful use of technology is an even more powerful insight. How can this happen?

By supporting educators, because it helps to then support students.

Leadership sets the tone

One of the most powerful influences on AI adoption, technology use, and the establishment of standards for communication and screen time in a school system is leadership modeling.

When administrators ask for feedback, communicate transparently, dive in to explore tools with teachers, and acknowledge uncertainty while providing direction, they create a safe environment for innovation. Leadership like this builds trust, and trust makes responsible implementation possible.

Preparing students means preparing adults first

Students will graduate and enter workplaces shaped by automation, intelligent systems, and evolving expectations around collaboration with technology. According to the World Economic Forum, technological literacy is #3 for 2030. #1 is AI and #2 is cybersecurity. Students are not the only ones preparing for that future. Educators need to be prepared so that our students are too.

Professional learning on AI is no longer an option. It is an essential part of instructional readiness. The schools making the most progress right now are engaging in conversations to build systems that help educators adapt confidently as change continues. And that may be the most important preparation strategy of all.

Supporting educators means strengthening entire school systems. This is one of the most important investments districts can make as they prepare students for an AI-shaped, AI-driven future.

Stay tuned for part 3 of this Leading Forward Series.

Subscribe to my ThriveinEDU newsletter to stay informed.

If Your Organization Is Beginning This Work

My sessions focus on helping teams:

• understand what AI can and cannot do

• recognize responsible-use considerations

• build confidence using emerging tools

•align implementation with organizational priorities

Preparing people is what makes AI implementation successful.

About Rachelle

Contact Rachelle to schedule sessions about Artificial Intelligence, AI and the Law, Coding, AR/VR, and more for your school or event! Submit the Contact Form.

Follow Rachelle on Bluesky, Instagram, and X at @Rdene915

Leading Forward in AI: What I’ve Been Learning from Schools Across the Country (Part I)

May 5, 2026May 19, 2026Dr. Rachelle Dené Poth Leave a comment

Subscribe to my ThriveinEDU newsletter to stay informed. (If you receive my newsletter, you may have read this, but just in case…here is part I)

Over the past eight months, I’ve had the opportunity to work with educators, school leaders, and district teams from twelve districts across the country as they navigate one of the biggest shifts education has experienced in decades: the arrival of artificial intelligence in everyday teaching and learning. This work is part of a national digital wellness and innovation initiative supporting districts as they develop responsible approaches to emerging technologies.

I work with a Task Force from each district to evaluate policies, create resources for families, and decide when and how to begin teaching students about AI, as well as how best to support educators. And some of these Task Forces include students and parents. We have had many conversations about digital wellness, digital citizenship, screentime, and, of course, AI.

The conversations about AI included shared concerns, questions, and challenges. However, what has stood out the most in these conversations with these schools is not fear. It’s curiosity.

In classrooms, teachers are asking thoughtful questions about how AI can support student thinking rather than replace it. Administrators are working to align emerging tools with existing priorities such as digital citizenship, academic integrity, and student wellness. District teams are exploring how policy can move beyond restriction toward responsible guidance. Some are even completely rewriting their policies to align with these changes and make sure that a common language is used.

Recently, my work has included:

• Supporting district digital wellness and AI implementation planning

• Leading professional learning sessions on responsible AI use

• Presenting on AI and the law for educators

• Visiting classrooms to observe how students are already interacting with AI tools

• Collaborating with leadership teams and developing next-step strategies for staff support

• Designing activities for administrators and educators to evaluate policies and effective AI use

One consistent theme continues to emerge:

Districts, educators, and students are ready to lead.

Educators are not waiting for perfect answers to the big AI questions. They are considering the best pedagogical practices for using AI that protect students while expanding opportunities.

The most successful districts I’m working with right now are focusing on three priorities:

Supporting educator confidence: They need clarity, examples, and time to explore.
Creating shared expectations for responsible use across classrooms and grade levels
Preparing students to think critically about AI-generated information.

Artificial intelligence isn’t just a technology conversation.

It’s a leadership conversation.

And I’m excited to continue working with and learning alongside school districts as they move forward with clarity, purpose, and a strong commitment to keeping human relationships at the center of innovation.

Providing the training

Artificial intelligence is changing expectations across nearly every profession. Schools are not the only organizations preparing for this shift.

In my work as an educator, attorney, and national presenter on responsible AI implementation, I support organizations as they explore how AI connects to decision-making, ethics, communication, and everyday professional practice.

My sessions focus on helping teams:

• understand what AI can and cannot do

• recognize responsible-use considerations

• build confidence using emerging tools

•align implementation with organizational priorities

Preparing people is what makes AI implementation successful.

About Rachelle

Contact Rachelle to schedule sessions about Artificial Intelligence, AI and the Law, Coding, AR/VR, and more for your school or event! Submit the Contact Form.

Follow Rachelle on Bluesky, Instagram, and X at @Rdene915

Educator explaining AI literacy concepts on a smartboard to students with tablets and laptops

AI Literacy is Not Tool Mastery: How to Build Sustained Educator Capacity

April 28, 2026May 2, 2026Dr. Rachelle Dené Poth Leave a comment

Previous post on Getting Smart

Not long ago, artificial intelligence in education felt novel. It was something shiny, experimental, and, for many educators, possibly unsettling at times. When ChatGPT arrived in November 2022, the initial conversations and concerns were more focused on fear. I recall receiving emails, text messages, phone calls, and visits from educators who were concerned about cheating, plagiarism, lost skills, and what instantly felt like an overwhelming pace of change. It was something else to adjust to, not long after the overwhelming feeling that many felt in March of 2020.

But since that initial adjustment to the increased use of AI in our world at the end of 2022 and through 2023, I’ve seen a shift happening. At first, there was skepticism, uncertainty, and hesitation, and not just in the world of education. However, as we’ve continued to adjust to new tools and new ways of working, I’ve noticed a shift from considering AI as a “what if” to the acceptance that AI is here and its use is increasing. It’s embedded in tools educators already use, and if it hasn’t already, then it will potentially slowly but surely become part of the daily routine and workflow of teaching and learning.

I’ve spoken about this shift from novelty to normalcy and how it brings a new challenge: educator upskilling.

A few years ago, I started researching the training available to educators and other professionals in AI. At the end of 2023, 87% of the educators in the United States had not received any training. In my workshops, some attendees are having their first training experience, more than 3 years after ChatGPT made its debut. So I think that we need to focus on an important question, whether in education or not. The question is no longer whether educators need professional learning around AI. Most people agree that they do. The bigger issue is whether we are approaching AI professional development in ways that are deep, sustained, and human-centered, or whether we’re still experiencing the one-and-done sessions that barely scratch the surface. With AI and the pace of change in education and the world, we need to do better and be prepared.

Shifting to Ongoing Capacity Building

When I completed my doctorate nearly two years ago, my research focused heavily on professional learning in emerging technologies, with a strong emphasis on AI. Even then, the message was clear. A single PD session, or even a series of short, tool-based trainings, was not enough, especially if completed early in the year or during a limited time span.

Yet, that is what I am learning about how AI PD is structured today. Through surveys in my sessions and conversations with other educators, there is a common experience happening, which is:

A 30-minute overview.
A 15-minute “certified educator” badge.
A walkthrough of one tool done well.

While these experiences can be helpful, especially for getting started and when time is limited, in the long term, they don’t build AI literacy. They build familiarity, whether with AI concepts or an AI tool. But familiarity is not AI literacy. Not for us as educators, nor for the students we are preparing for a future surrounded by AI and a world of work that seeks employees skilled in AI.

Continue reading the original post on Getting Smart.

About Rachelle

Contact Rachelle to schedule sessions about Artificial Intelligence, AI and the Law, Coding, AR/VR, and more for your school or event! Submit the Contact Form.

Follow Rachelle on Bluesky, Instagram, and X at @Rdene915

**Interested in writing a guest blog for my site? Would love to share your ideas! Submit your post here. Looking for a new book to read? Find these available at bit.ly/Pothbooks

************ Also, check out my THRIVEinEDU Podcast Here!

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A Closer Look at What’s New in Kira 2.0

April 21, 2026April 23, 2026Dr. Rachelle Dené Poth Leave a comment

In collaboration with Kira

During our ThriveinEDU livestream conversation about Kira, we explored a question that immediately resonated with educators:

What if planning, grading, and differentiation actually took half the time and still kept teachers in control of learning?

The question isn’t just about efficiency. It’s about sustainability and about supporting teachers to make instruction more responsive, more personalized, and more aligned to what students actually need in the moment, real-time responses, authentic feedback, and support from their teachers.

Kira recently released several new features (as part of their Kira 2.0 launch) that move beyond treating AI as a “lesson generator” or “assessment creator,” and it now works as a thought partner in the instructional workflow. After attending the Live Launch in New York on March 3rd and moderating the livestream, here are some of the biggest takeaways from the conversations that make the newest updates especially impactful for classrooms now.

Lesson/Course Studio

Many AI tools help teachers create one lesson at a time, which is highly beneficial and time-saving. But imagine you’re tasked with creating a course you’ve never taught or don’t have enough resources for. The amount of time needed is a bit overwhelming.

Kira’s Course and Lesson Studio helps educators generate both structured lessons and full, standards-aligned courses, including course outlines, unit sequences, lesson progressions, and assessments

Educators need to provide the topic, subject, grade level, and standards, and then, using this information or prompt, Kira builds the lesson with embedded formative checks already in place.

Formative assessment often happens after instruction, with Kira, teachers see student understanding during instruction.

As Rachel shared during the livestream:

“I don’t remember a time when I wasn’t taking work home or trying to get ahead of the game by planning out my week and then having to rewrite it midweek. It was so much work.”

Kira’s curriculum-building features help reduce that cycle in far less time. Rather than rewriting lessons to meet student needs, teachers start with a flexible structure they can adapt immediately, and, most importantly, stay in control. We are doing the editing, adjusting, and shaping of the lesson. This is an important distinction to make because it shows how crucial it is that teachers remain involved and review what has been generated.

Real-Time Insight Instead of End-of-Unit Surprises: Student Atlas

I have known about this for a few months and thought it was amazing. One of the most exciting updates in Kira 2.0 is Student Atlas, the platform’s student insight dashboard, now paired with Class Atlas, which brings those insights together at the class level.

Student Atlas provides:

concept-level mastery tracking
data confidence indicators
individual student support indicators
zones of proximal development insights
intervention suggestions

Rather than relying on a single quiz or test score, teachers can see which concepts students understand and where they’re struggling in real time. It enables us to see what concepts need reinforcing now, rather than waiting until the assessment is over and graded.

Class Atlas builds on this by turning individual insights into a clear, actionable class-wide view. Instead of opening 20+ student profiles and piecing things together, teachers can instantly answer: Where should I focus my instruction? and Which students need help with this skill? Teachers can even ask Kira to explain how it generated its recommendations, which helps schools as they look for tools and want to trust AI technologies.

Student Atlas also includes a data confidence indicator, helping educators assess the reliability of recommendations before making instructional decisions. That transparency supports professional judgment instead of replacing it.

Standards Alignment

Standards alignment is often one of the most time-consuming parts of planning, especially when building units or courses. And for educators teaching multiple courses, it is very time-consuming. But with Kira 2.0, that time requirement decreases because Kira 2.0 automatically tags lessons, activities, assessments, and questions to state standards, underlying skill progressions, and Bloom’s taxonomy levels.

Teachers can track how students are progressing through skills over time.

Supporting Multilingual Learners

Another standout feature we spoke about in the livestream is Kira’s built-in support for multilingual learners.

When gaps in understanding appear, Kira can generate:

scaffolded practice
targeted follow-up lessons
leveled reading supports
vocabulary scaffolds
translated instructional materials

Each of these supports is based on individual student performance, and not on a generic template that does not align with the student’s needs.

Differentiation is responsive rather than being reactive.

During the livestream, we talked about how, historically, differentiation required teachers to manually create multiple versions of lessons or assessments, which, of course, took a lot of time. With Kira, these supports are embedded directly inside the instructional workflow. Rachel said, “Especially talking about differentiation and the ease of it and being able to have the assistant nearby and go back and forth.”

Embedded support assists educators in providing what each student needs while giving them more time to work directly with each student.

Kira provides structure, but the teachers are the designers who provide the course’s vision.

Kira brings planning, assessment, differentiation, and student insight into one connected space. And when those pieces connect, teachers gain something incredibly valuable:

clarity
flexibility
time
and better visibility into learning

About Rachelle

Contact Rachelle to schedule sessions about Artificial Intelligence, AI and the Law, Coding, AR/VR, and more for your school or event! Submit the Contact Form.

Follow Rachelle on Bluesky, Instagram, and X at @Rdene915

**Interested in writing a guest blog for my site? Would love to share your ideas! Submit your post here. Looking for a new book to read? Find these available at bit.ly/Pothbooks

************ Also, check out my THRIVEinEDU Podcast Here!

Join my show on THRIVEinEDU on Facebook. Join the group here.

Building Tomorrow’s Skills Today: Career-Connected Learning

March 3, 2026March 2, 2026Dr. Rachelle Dené Poth Leave a comment

Technology is evolving at a pace we have never experienced before. There have been so many changes in the world through artificial intelligence, automation, data science, and other emerging technologies. These are reshaping industries in real time. As an educator, I feel this shift daily, and I try to push myself to keep learning and looking for opportunities to do more for my students. The challenge is no longer simply preparing students for a job. It’s knowing how to prepare them for careers that may not even exist yet and also supporting them as they develop a variety of skills to be prepared.

When I think about how to prepare students for the uncertainty around the world of work, I look at insights from the World Economic Forum and its Future of Jobs research. While AI was listed as #3 for 2027 and is now listed as #1 for 2030, the other rankings reinforce what we already know: adaptability, analytical thinking, creativity, and resilience are becoming increasingly important in our world.

If we cannot predict the careers that will exist five or ten years from now, the best we can do is prepare students to be flexible thinkers, confident problem-solvers, and ethical technology users. And this is why I believe that career-connected learning is essential.

Redefining “Career Ready”

When I thought about “career ready,” I aligned it with strong academics plus essential skills of communication, collaboration, and the other “soft skills.” These are still relevant and necessary for success, however with the changes in technology, there are other areas that I believe must be addressed and become part of preparing students to be career-ready. remain foundational. Now, I include:

Digital and AI literacy
Ethical reasoning in technology use
Data awareness and cybersecurity knowledge
The ability to evaluate and question AI-generated information
Comfort navigating complex digital systems

Students need to understand how to use tools like generative AI. And that means using it to enhance and not replace their own learning. They can learn to brainstorm with AI, analyze outputs for bias or inaccuracy, and be able to recognize when human judgment must be at the forefront, providing consistent oversight. Research and interviews of employers have shown that employees will be expected to work alongside AI systems. That preparation has to begin in our classrooms from K through 12 and beyond.

Career-connected learning ensures students understand how what they are studying connects with real careers and real-world impact.

Why This Matters Now More Than Ever

According to projections highlighted by the World Economic Forum, millions of roles will be displaced due to automation, while millions of new ones will emerge. This is not the first time. More than 100 years ago, thousands of traffic light controllers in New York were displaced due to automation. They did not all lose their jobs, some shifted into others. And many of these new positions demand higher-order thinking, digital agility, and ethical decision-making.

I like to talk about some career options that minimally existed a few years ago:

AI prompt engineer
Ethical technologist
Data privacy consultant

These are some of the many growing fields of work and some which are increasing because of AI. I think about how we are preparing our students and believe that career-connected learning will help to show the connections between classroom content and workforce relevance. I also believe this is something that can be done in every classroom and in all content areas.

What Does Career-Connected Learning Look Like?

Career-connected learning is more than occasional career days. It is something that is embedded into daily instruction, not an extra element. It can include a variety of possibilities, such as:

Project-based learning connected to community or industry challenges. (Builds relevance for students).
Integration of AI, data science, and emerging technologies
Authentic problem-solving rooted in real scenarios
Partnerships with local businesses, universities, or nonprofits
Coding, AI, and cybersecurity challenges

Through opportunities like these, we can foster the development of student agency. When students understand how what they are learning connects to real opportunities, it sparks curiosity, increases students engagement and motivation. Learning is more purposeful, authentic, and meaningful.

Some ideas:

Artificial intelligence is an area that students need to understand. They need to know, how AI systems function, how to evaluate the outputs, how bias can be embedded, and what the ethical responsibilities are for using AI. In career-connected classrooms, AI might be used to discuss and explore how the legal field, healthcare and business industries, and schools are using AI tools. They can engage in role-playing that focuses on ethical decision-making. The goal is for students to leverage AI as a partner, rather than a replacement in learning.

STEM is a great option to focus on career-connected learning. In my own classroom experiences, I’ve seen what happens when students combine AI tools with engineering design, language learning, and problem-solving. When students train image classifiers and then collaborate, problem-solve, and evaluate where the model fails, they are not just learning about the technology, they are developing skills in critical analysis and bias detection.

Cybersecurity is another area that is seeing tremendous growth. Students need to understand how their data is collected, protected, and in some cases, misused. There are hundreds of thousands of cybersecurity roles unfilled in the United States alone, yet many students and perhaps even educators, have not heard of careers such as a threat analyst or a security operations engineer. Lessons on cybersecurity can be done in all classes. Here are some examples that I have shared:

English: Analyze phishing emails as persuasive writing
History: Debate privacy vs. security
Math: Explore encryption models
Technology: Investigate AI-related vulnerabilities

Career-ready also means a Human-Centered Future

With all of the technology, especially with AI and automation, we have to keep focused on what makes us uniquely human. Technology will continue to evolve, even faster than it has been. But empathy, integrity, resilience, and collaboration will always matter and we need to make sure that students develop these skills.

With career-connected learning opportunities, we will prepare students for success in the future, even in careers that don’t exist. We will offer opportunities for them to discover their interests and purpose and be prepared to embrace the changes they will encounter and be successful.

About Rachelle

Contact Rachelle to schedule sessions about Artificial Intelligence, AI and the Law, Coding, AR/VR, and more for your school or event! Submit the Contact Form.

Follow Rachelle on Bluesky, Instagram, and X at @Rdene915

**Interested in writing a guest blog for my site? Would love to share your ideas! Submit your post here. Looking for a new book to read? Find these available at bit.ly/Pothbooks

************ Also, check out my THRIVEinEDU Podcast Here!

Join my show on THRIVEinEDU on Facebook. Join the group here.

Shaping the Future of Digital Literacy with AI

February 3, 2026January 30, 2026Dr. Rachelle Dené Poth Leave a comment

In collaboration with Delightex Edu. All opinions are my own.

Over the past 9 years, using Delightex Edu (formerly CoSpaces Edu) with my students, I have seen it continually add features that spark curiosity, boost creativity, and offer more engaging ways for students to build their knowledge. I have often said that we need to move students from consumers to creators, to innovators, and with Delightex Edu, students don’t just consume content, they create immersive worlds. Students and educators can design 3D worlds, build interactive environments, and leverage all of the options for coding and creating a more authentic and personalized product.

Delightex Edu is a highly visual, user-friendly, intuitive system that helps students develop essential skills such as collaboration, creativity, logic, problem-solving, and more that will lead to future success. These are skills that have been in demand, and they are not changing, but what is changing is the “how” students can develop these and other essential future-ready skills.

Most recently, Delightex has added AI features to its already robust platform. Artificial intelligence is not a futuristic concept. I have been speaking about augmented and virtual reality and AI for more than eight years, and these concepts are not going away. They have become part of everyday life, shaping how we work, communicate, and create.

As digital literacy evolves, students need opportunities not just to use AI, but also to understand it, question it, and use and create with it responsibly. Delightex Edu’s latest update takes what it already offers to a new level. AI enhances the creative experience, expanding what students can build while engaging them in hands-on, safe, and exciting learning opportunities.

The new AI features focus on three essential principles: smarter creation, deeper learning, and safe innovation.

AI to amplify creation and not replace student creativity

One of the most important things that I have shared with students and educators is that having the new AI features should not be thought of as a substitute for students’ own thinking and creativity. Instead, it should amplify learning while also teaching students about AI’s capabilities in a safe space, which is what matters as we help them build content skills and AI literacy.

Students are still in control and taking the lead as they create and apply their knowledge in new ways. They are still the designers, the coders, the curious learners, and the storytellers. AI is just another tool in the Delightex toolbox. They now have more opportunities to learn about prompting, how to generate images they want, and be able to develop true AI literacy alongside computational thinking skills.

AI Buddies: Bringing Worlds to Life

Whether for students or educators, Delightex Edu is so much fun to dive into and start creating with, especially with AI Buddies, which are AI-powered 3D characters that can talk, react, and express emotions through real-time animations. AI Buddies are defined by creating a short prompt and can act as guides, tutors, narrators, or characters in a story. AI Buddies make it so much fun for anyone creating with Delightex.

AI Buddies are a fun addition to any project. They respond via text and can also use expressive animations that make interactions feel more natural and believable. Students can set proximity triggers in their environment so that an AI Buddy responds automatically when someone enters a specific area of a scene. This was a game-changer because it shifted the static environment into a more responsive and immersive experience.

When I think about the possibilities and how AI buddies will amplify learning, they can help students create more engaging stories, interactive simulations, and even role-based learning. Imagine having a historical figure who can speak to students. Or a science class or a language class, with a virtual guide who can walk users through a location unique to the content. Characters in a story can respond differently depending on the choices the player makes.

These possibilities also bring some reminders. Safety, especially when it comes to AI, is critical. With Delightex Edu, teachers control student access by license, class, or each individual student. Guardrails, Content Guard, and AI History ensure that any interactions stay age-appropriate, transparent, and are reviewable by the teacher.

AI Skills: Coding and AI Literacy

When AI Buddies are added to each student’s Project, it brings their story and their world to life. With AI Skills, students can decide how the characters will act.

AI Skills enables students to design actions using visual coding and assign them to AI Buddies. Using Delightex’s CoBlocks system, AI Skills combine traditional visual logic with the use of simple prompts. Students still define conditions, test behaviors, and refine outcomes as they have been able to do, but now with AI Skills, the characters can respond in more natural ways to dialogue and intent.

When learning to code, students were programming only event-based responses, for example, “when this happens, do that.” However, now, students think about how these intelligent systems are able to interpret meaning. It can lead to great conversations in the classroom, and students or teachers can talk about questions such as:

How does a character decide what action makes sense?
What happens when prompts are unclear?
How do logic and language work together?

AI-Generated 360° Worlds Inside 3D Scenes

One of my favorite new AI features is that I can dream big and create fun prompts that generate beautiful images. Through Delightex Edu’s Skybox integration, you can generate AI-powered 360° images right inside 3D scenes. Before this feature was added, scenes were limited, but now any 3D scene can be transformed into a fully immersive 360° environment, truly expanding creative possibilities. Students can instantly generate any backdrop they can imagine for their stories, simulations, or virtual field trips. Once they create their new background, they can select from all of the options for characters, objects, and more. It boosts student engagement and promotes more experiential learning.

Why This Is Important for the Future of Learning

As I explored these recent updates, I realized they are moving us toward what digital literacy should look like in an AI-powered world.

Whether early learners, older students, or educators, everyone needs opportunities to create with AI and understand its capabilities. And, they need to be able to do so in safe environments where experimentation is encouraged, guardrails are in place, and active learning is available. Delightex Edu is a platform where AI enhances creativity, deepens understanding of new technologies, supports the acquisition of content knowledge, and prepares students for future work and learning.

Always at the forefront with great features that bring amazing learning possibilities to students, I’m looking forward to more features from Delightex. And I am excited for all students who will be able to apply their knowledge in exciting and innovative ways!

To learn more and have fun creating, visit delightex.com/edu. Explore the gallery, check out the resources, and then start your own project! Have fun learning!

About Rachelle

Contact Rachelle to schedule sessions about Artificial Intelligence, AI and the Law, Coding, AR/VR, and more for your school or event! Submit the Contact Form.

Follow Rachelle on Bluesky, Instagram, and X at @Rdene915