In Part I of this series, I shared the importance of distinguishing between “AI in Education” and “AI Education”, and why both must move forward together if we want to prepare students for a rapidly changing world.
That distinction is critical.
But it is not enough.
Across the conversations I continue to have with legislators, district leaders, and educators, the next question is becoming clearer:
What does this actually look like in practice?
Because the challenge right now is not awareness.
It is implementation.
Guidelines are being drafted. Policies are being written. Conversations are happening at leadership levels.
But in classrooms, the reality is often very different.
Teachers are still asking:
What should I allow? How do I design lessons so that students are still thinking and not reliant on AI? What should I do if students use AI in ways I did not anticipate? How do I explain responsible use to students and families?
This gap between policy and practice is one of the most important challenges we face. Policies can set direction, but practice determines the impact.
A policy may explain what is permitted, restricted, or expected. However, educators still need support to translate those expectations into lesson design, assessment, classroom conversations, and decisions about student use. I’ve mentioned this before in my Leading Forward in AI series, and I share it again. We need consistency, a shared language, and a classroom connection. Without that connection, even well-written policies may have little effect on classroom practice.
What I’m Seeing in Classrooms
In the schools I work with, students are already using AI tools—often more than adults realize. Students are:
brainstorming ideas
asking questions
exploring concepts
testing tools independently
And it is happening now, so this is not a future issue. And it is no longer a question of whether students will use AI, but rather whether they will be guided in how to use it responsibly.
Without guidance, students experiment in isolation and rely on AI too much, and possibly for the wrong reasons. With guidance, they learn to question outputs, verify information, protect their data, acknowledge their use of AI, and recognize when a tool is supporting their thinking rather than replacing it.
That difference matters.
Moving From Restriction to Responsibility
One of the most common responses to emerging technology has been restriction. Conversations about blocking access, limiting use, and controlling the learning environment of students have been happening even more.
In some situations, restrictions are necessary. Schools must consider student privacy, age requirements, academic integrity, instructional purpose, accessibility, and whether a tool has been properly vetted. But restriction cannot be the entire strategy.
We know that students will use AI outside of the classroom. While approaches that focus on restriction may be in the best interest of protecting students, they do not prepare students for long-term success.
In the future, students will use AI in higher education, the workplace, and in everyday decision-making, which is why they need guidance. By focusing only on restrictions, we miss out on the opportunity to teach responsibility. And responsibility prepares students for real-world environments.
With opportunities in our classrooms, we can support students as they learn about AI. Students need to know how to evaluate AI-generated information, disclose when they have used a tool, protect personally identifiable information (PII), recognize bias, and understand when AI use is appropriate.
What Effective Implementation Requires
From my experience working with districts across the country, successful implementation does not come from a single policy or a single training. It comes from strategic alignment.
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.
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.
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.
Guest post by Tessa Dodson. Opinions expressed are those of the writer.
Educators are all too familiar with “workshop fatigue,” the feeling of sitting through another mandated training session that feels disconnected from the realities of their classroom. To move beyond a compliance-based model of professional development (PD) for teachers, district leaders must explore what educators need to grow. The shift to an empowering, continuous learning model is a crucial strategy for boosting teacher motivation, efficacy, and retention in an increasingly demanding field.
The Disconnect Between Intentions and Training Needs
The default model of professional development has been the one-off workshop or conference. While often well-intentioned, this approach frequently fails to produce lasting change in instructional practice or improve teacher motivation. The core issue lies in a fundamental gap between what research identifies as effective and what is most commonly practiced in schools.
This discrepancy creates a significant challenge for leaders trying to support their faculty. While sustained job-embedded learning is more effective, many teachers still attend short-term workshops, as these are often the most accessible and available options provided by their districts. The result is a cycle of ineffective professional learning that fails to translate into meaningful classroom improvements.
“One-Size-Fits-All” Agendas
A common pitfall of traditional PD is selecting a single topic for an entire district or school. This approach rarely meets the nuanced needs of individual teachers. The challenges faced by a kindergarten teacher are vastly different from those of a high school physics instructor. A seasoned educator requires a different type of support than a novice. When PD is not tailored, it feels irrelevant and fails to honor each teacher’s unique classroom context.
One-Off Workshops
Learning that is not sustained over time is rarely integrated into practice. One-off workshops lack the essential follow-up, coaching, and collaborative feedback loops required for true skill development. Without ongoing support to implement new strategies, troubleshoot challenges, and refine their approach, teachers are likely to revert to their established routines, and the growth potential is lost.
A Lack of Choice
Giving teachers choices goes beyond simply letting them select from a preapproved menu of workshops. True empowerment means inviting them to be active participants in the entire process. Teachers can work together to identify problems in their own classrooms and the school, and then they can co-design learning experiences to address those specific challenges.
Limited Time and Trust
Two of the most valuable resources leaders can provide are time and trust. Effective professional learning cannot be an add-on. Instead, it requires dedicated time within contract hours for teachers to collaborate, observe peers, conduct research, and reflect on their practice. This must be paired with a culture of trust, where leaders have confidence that their faculty will use this time professionally and effectively to improve their instruction and, ultimately, student outcomes.
What Teachers Really Want From Professional Development
The most effective frameworks for teachers’ professional development are built on a foundation of empowerment. This involves a profound shift in mindset, from viewing teachers as recipients of training to recognizing them as professionals who can and should guide their own learning. When school structures are designed to foster teacher autonomy, the impact on professional growth is significant.
A 2023 study found thatteachers’ autonomous behavior predicted professional development at work. The study identified key structural factors, such as “empowering teachers” and the “decentralization of responsibilities,” as crucial to creating an environment in which this autonomy could flourish. By trusting teachers to take ownership of their professional growth, leaders can unlock their intrinsic teacher motivation and capacity for innovation.
A landmark report from the Learning Policy Institute outlines seven widely shared features of effective PD, focusing on content, active learning, collaboration, coaching, expert support, and sustained duration. From the teacher’s perspective, this framework translates into a few key training necessities.
Ongoing, Job-Embedded Coaching
Teachers value the opportunity to work with instructional coaches who can provide personalized support. Unlike a formal evaluation, coaching is a partnership focused on growth. A coach can co-plan a lesson, model a new strategy, observe, and provide feedback. Alternatively, a coach may serve as a sounding board in the teacher’s classroom.
Opportunities for Meaningful Collaboration
Educators’ most valuable resource is each other. Many teachers crave structured time to engage in meaningful collaboration with their peers. This can take many forms, including professional learning communities, study groups where teachers collectively plan and refine lessons, and peer mentorship programs. A well-designed teacher-to-teacher mentorship program can be a powerful driver of both individual and collective growth.
Direct Connections to Their Classroom Practice
Teachers want professional learning that is directly relevant and immediately applicable to their work. They are eager for strategies, tools, and knowledge that help them solve the real, everyday challenges they face with their students. When PD is grounded in classroom practice, it feels more like an essential tool for success than a requirement to simply check off.
How Leadership Can Build a Culture of Continuous Learning
School and district leaders are the primary architects of the environment in which teachers receive professional development. By shifting their approach, they can build a culture where teacher-led, continuous learning becomes the norm.
For example, Princeton Public Schools has found success with “Flex PD” programs, which provide staff with release time and resources to pursue professional learning of their choice. By treating teachers as professionals, the district fosters a sense of ownership and relevance that traditional models often lack.
Moving From Compliance to Collective Capacity
Instead of focusing on enforcing PD mandates, leaders should see their role as building their staff’s collective expertise. This requires trusting teachers to take ownership of school-wide goals and empowering them to find the best path to achieving them. When leaders shift their focus from compliance to cultivating collective capacity, they invest more effectively in the long-term growth of their entire school community.
Measuring Success Beyond Attendance Sheets
In a culture of continuous learning, success is measured differently. Instead of tracking seat time or completion certificates, leaders should look for authentic evidence of growth. This can include observing changes in instructional practice, noting increases in staff collaborative conversations, and measuring the impact on student engagement and outcomes.
Taking the First Step Toward Meaningful Growth
The journey toward a more meaningful, empowering, and effective model of professional development for teachers begins with dialogue. By asking educators what they need to grow and trusting their answers, school leaders can take the first crucial step toward building a culture where both teachers and students can thrive.
About Tessa
Tessa Dodson is the Senior Writer of Classrooms.com, where she researches and covers educational policy, professional development, teacher support systems, and integration challenges that K-12 and higher education institutions may face. She aims to research and provide actionable insights for students, educators, school administrators, and other leaders.
About Rachelle’s 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.
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.
How do we build sustainable professional learning systems for educators?
In the first six partsof 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.
If Your Organization Is Beginning This Workand is Seeking Consistent Support, Contact me:
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. I also deliver keynotes and provide small-group coaching.
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 or reach out via email, Rdene915@gmail.com.
In the first five partsof 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. There have been many conversations, brainstorming sessions, questions answered, and then more questions posed.
In each of these conversations, we have considered, and I have asked a lot of questions. But one of the most common questions that I’ve heard and considered is:
How do we know, and how do we make sure, that students are still doing the thinking? Why is this a popular question? Because in an AI-driven world, having access to answers is no longer the challenge. Answers are available everywhere and instantly. Thinking is now the challenge.
Making A Shift
When it comes to education and creating learning experiences, a large part of schooling is focused on helping students find the right answer. Educators consider the support needed to guide students in working through challenges and developing their skills as they build content knowledge. Now, that landscape has changed. And, it has changed fast.
Students can generate responses, explanations, and even write entire essays within seconds using the AI tools available to them. But this new reality leads to understandable concerns. Questions such as:
Are students relying too much on AI?
Do they know how to evaluate the information?
Is their own thinking being replaced?
What does learning look like now?
What should learning look like now?
These are some of the important questions we need to be asking. And the answers will shift our focus. Education still plays a critical role in developing essential skills, but it is evolving and requires more intentional planning and heightened awareness of available technologies, along with mindfulness about how to leverage them.
Will AI Replace Our Thinking? Not Unless We Let It
We know that artificial intelligence can support learning in powerful ways. It can:
provide feedback
offer explanations
generate ideas
support revision
help students explore concepts
serve as a thought partner for educators
But without clear expectations and a consistent message, it can also shortcut learning opportunities.
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.
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.
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 to work with you or speak at your event.bit.ly/thriveineduPDSee 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.
In part IIof the series, I shared my thoughts about what I’ve been learning from working with district leadership teams across the country, and the work is focused on AI, digital wellness, and innovation. In part II, I shared my thoughts on preparing educators in these areas and why it means preparing school leaders first. This work has provided me with meaningful opportunities to learn with and work alongside educators, students, and families, and I am noticing common conversations and concerns in the schools.
Screen time
Students talk about it. Families ask about it. Teachers notice it. Administrators are expected to respond to it. What do we do about the devices?
But what I have learned from working with schools is that the most important leadership question is not simply how much time students spend on screens. The more important question is: What are students doing while they are on those screens?
As technology continues to evolve in our schools and in the world, we need to move beyond conversations that focus only on limits and restrictions. We need to focus on purpose, guidance, and readiness.
Moving From Screen Time to Purposeful Use
Conversations about student technology use have primarily focused on recommended amounts and on setting limits. The American Pediatric Association had recommendations for some of the most common questions: How many hours per day? How often should devices be used? When should students disconnect?
Although the conversation has shifted away from specific time limits, those guiding questions still matter. But today’s learning environments require something more intentional and thoughtful, and should bring in different perspectives about what the common uses are. We need to better understand how students are using technology and whether that use supports learning, connection, creativity, and growth. From my conversations, I have learned that students are using devices to:
Interact with friends and family
collaborate with classmates
create original work
communicate with teachers
design presentations
explore complex ideas
interact with artificial intelligence tools
Continue reading via my newsletter on LinkedIn and subscribe. Also, subscribe to my newsletter for events, resources, and more.
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.
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.
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
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.
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.
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.
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
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
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.
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 PodcastHere!
Join my show on THRIVEinEDU on Facebook. Join the group here.
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
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.
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 PodcastHere!
Join my show on THRIVEinEDU on Facebook. Join the group here.
Learning as I go: Reflections & lessons learned 