We had a great turnout for our recent webinar and a great panel! Read more here and check out the recording.
Artificial Intelligence is no longer a concept for the future—it’s transforming classrooms everywhere. The sudden and widespread availability of powerful AI tools has left many educators with a mix of excitement and apprehension. How can we, as educators, prepare our students for an AI-driven future? How do we harness the potential of these tools while carefully and consistently navigating their pitfalls?
These were the central questions addressed in a recent webinar, “The AI-Ready Educator: Preparing Teachers for the Future of Learning,” hosted by ThriveinEDU and Imagi-Labs. The session brought together a panel of experts, including educator, author, and attorney, Dr. Rachelle Dené Poth, who moderated a powerful conversation with panelists Alana Winnick, Beatrice Ionascu, and Ken Shelton about the intersection of computer science, computational thinking, AI, and ethics in modern education.
“We’re not here because we’re experts—we’re here because we’re learners,” said Poth, who has spent the past eight years working with AI in education. “This is a conversation. We’re figuring it out together.” This insightful conversation provided a roadmap for educators looking to become AI-ready.
Understanding the Fundamentals
Before exploring the practical applications of AI in the classroom, it’s essential to understand what AI is. As Beatrice explained, AI systems are designed to perform tasks that typically require human intelligence, such as pattern recognition, language processing, and decision-making, all of which are fueled by data. Ken Shelton further clarified that ‘not all AI is the same,” breaking it down into three types: reactive, predictive, and generative. While we’ve been interacting with reactive AI (like spell check and email spam filters) and predictive AI for years, it’s the recent explosion of generative AI that has captured our collective attention.
Understanding these distinctions is the first step toward developing a nuanced approach to AI in education. A blanket policy to “block all AI,” as Ken pointed out, is not only impractical but also counterproductive, as it would mean eliminating tools we rely on daily. Instead, the focus should be on using these systems effectively and responsibly.
From Educators to Empowerers
The panel opened with introductions from four leaders who are not only immersed in educational innovation but also actively working to shape its future.
Alana Winnick, Educational Technology Director and Data Protection Officer at Pocantico Hills Central School District in New York, emphasized the need for purpose-driven integration of AI. “I also started a program called Students for Innovation, which empowers students to advocate for change in their schools,” she shared. With a book and podcast on generative AI, Winnick has centered her work on amplifying student voices in tech spaces.
Beatrice Ionascu, co-founder and CTO of Imagi, echoed the importance of inspiring student curiosity. “I truly believe that technology education is the key to creating a better world,” she said. “At Imagi, our mission is to make computer science and AI literacy as essential and accessible as reading and math.” With a background in engineering, product design, and education, she brings a unique perspective to building tools that connect students, especially girls, to technology through creative coding.
The Imperative of AI Literacy
A recurring theme throughout the discussion was the concept of “AI literacy.” Ken Shelton offered a comprehensive definition: “AI literacy means knowing, understanding, and using AI in smart and safe ways. It helps people ask good questions about how AI works, how it helps or hurts others, and how it can change or impact the world around us.”
Alana Winnick provided a practical framework for fostering AI literacy in students, assigning them two critical roles: the “detective” and the “DJ”. As detectives, students must be on the lookout for bias and misinformation, understanding that AI is not a magical, infallible source of truth. This is a crucial skill, especially in a world where AI-generated content can be convincingly inaccurate. As DJs, students are encouraged to “remix” AI-generated content, infusing it with their own thoughts, ideas, and voice, ensuring that their work remains a reflection of their own learning and creativity.
The Irreplaceable Human Element
One of the most pressing concerns for educators is the fear that AI will render their roles obsolete. The panelists, however, were unanimous in their belief that the human element in teaching is not only irreplaceable but will become even more critical in an AI-integrated world. Beatrice painted a stark picture of a “dystopic future” where learners are isolated with machines, a vision that underscores the fundamental need for human connection in education.
Ken Shelton passionately argued that AI cannot and should not replace the meaningful interactions that are the bedrock of effective teaching and learning. He cautioned against “cognitively offloading” the human aspects of education to AI, emphasizing that these systems don’t know our students’ individual needs, dreams, and challenges. Alana added that AI, when used thoughtfully, can actually enhance the human element by automating tedious tasks, freeing up teachers to focus on what they do best: building relationships, fostering a positive classroom culture, and providing individualized support. Poth agreed that when using AI in her classroom, she guides students on how to use it for enhancing learning and engages in more conversations and interactions with students because of the time that can be saved when using these tools.
The Role of Computational Thinking
While discussing AI and various important topics, we also emphasized the importance of computational thinking (CT) as a foundational skill for AI readiness. CT includes logic, pattern recognition, decomposition, and abstraction—core elements that help students understand how computers “think” before they ever write a line of code.
Panelists agreed that you can’t fully understand AI without understanding the process of problem-solving that goes into it. Computational thinking is the gateway to coding and beyond.
Winnick added, “We’re seeing kids jump straight to AI tools, but they still need to understand how algorithms are structured, how data works, and how to identify problems worth solving. AI doesn’t replace thinking—it amplifies it when used responsibly.”
AI as a Tool for Creation—not Just Consumption
One key takeaway was that AI should be positioned as a tool that supports students as creators, not just consumers. This shift requires educators to rethink traditional computer science instruction.
“We want students to code, but also to see how AI can help them prototype faster, solve problems differently, or iterate creatively,” Ionascu explained. “That’s why we need to teach both the fundamentals and how to critically use AI tools.”
The panel discussed how students can use AI to generate code, explore new ideas, or debug faster—but only if they’ve first learned the structure and logic of programming.
Ethics Must Be Front and Center
Beyond skills and tools, panelists emphasized that students need to learn how to use AI responsibly, and this starts with intentional discussions about ethics.
“We can’t wait until something goes wrong to start talking about ethics,” said Winnick. “Students need to understand bias, privacy, and the societal impact of AI from the beginning.”
Ionascu added, “In our work at Imagi, we try to normalize conversations about ethics early on. It’s not a separate unit—it’s woven into every experience with technology. Students should be asking, ‘What could go wrong?’ Who is this helping? Who might it harm?”
Shelton also highlighted the role of educators in modeling ethical inquiry. “We don’t need to have all the answers, but we do need to show students how to ask the right questions.” Shelton’s work related to equity is well-known, and his book “The Promises and Perils of AI in Education: Ethics and Equity Have Entered The Chat,” which he co-authored with Dee Lanier, is a great resource for educators.
Practical Strategies for Educators
The webinar also offered classroom-ready strategies to help educators bridge the gap between foundational computer science and AI-enhanced learning:
- Use block-based coding (like Scratch or Imagi) to introduce logic before jumping into text-based languages.
- Incorporate AI exploration tools (such as ChatGPT or Google’s Teachable Machine) to show how models are trained.
- Encourage journaling or reflection prompts about ethical dilemmas related to AI tools.
- Introduce AI early, but always in tandem with skill-building and reflection.
Poth emphasized, “It’s not about having a perfect curriculum. It’s about giving students opportunities to explore, experiment, and reflect.”
Preparing Educators to Prepare Students
At its core, the panel’s message was clear: educators themselves must become AI-literate if they’re going to prepare students for an AI-driven world.
“We have to do the work of learning ourselves,” said Winnick. “That means experimenting with tools, joining communities, reading critically, and being honest with students when we don’t know something yet.”
Ionascu reinforced this, noting that teacher curiosity is contagious. “When students see educators exploring and asking thoughtful questions, it empowers them to do the same.”
As the conversation closed, panelists left attendees with words of encouragement: It is an opportunity to rethink what we teach, how we teach it, and how we prepare students to lead in the future.
The message of the evening was one of hope, responsibility, and action. As AI continues to evolve, so too must our approach to teaching. By grounding our work in computational thinking, ethical reasoning, and curiosity, we can help students not only adapt to the future but shape it. To learn more about the panelists, see below the video. To sign up for our next webinar, register here.
Contact Information:
Consulting Dr. Rachelle Dené Poth: bit.ly/thriveineduPD
X, Instagram, Bluesky: @Rdene915
LinkedIn: https://www.linkedin.com/in/rachelledenepoth/
Website/blog: www.Rdene915.com
Relevant book: How To Teach AI
LinkedIn: Beatrice Ionascu
Alana Winnick
Relevant book: Generative AI
Ken Shelton
LinkedIn https://www.linkedin.com/in/kenashelton/
Twitter https://x.com/k_shelton
Website https://kennethshelton.net/
Book The Promises and Perils of AI in Education: Ethics and Equity Have Entered The Chat.”
About Rachelle
Dr. Rachelle Dené Poth is a Spanish and STEAM: What’s Next in Emerging Technology Teacher at Riverview High School in Oakmont, PA. 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, and her research focus was 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, Coding, AR/VR, and more for your school or event! Submit the Contact Form.
Follow Rachelle on Bluesky, Instagram, and X at @Rdene915
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