AI in K–12 Education
A high-trust roundtable hosted at Miami Dade College (MDC) bringing educators, administrators, and AI leaders together to surface real classroom realities — and shape responsible adoption.
This page summarizes the first convening and the insights captured in the roundtable whitepaper.
Why We Convened This Room
AI is entering education quickly — often before educators have the time, training, or governance structures to integrate it responsibly. The goal of Roundtable #1 was not to debate AI in the abstract, but to listen to educators and capture ground-truth: where AI is genuinely helpful, where it creates risk, and what responsible adoption should look like.
A central theme: the future of AI in education should be educator-led — not driven solely by tools, vendors, or IT-only policy.
What Made It Different
This was intentionally designed as a “silo-breaking” room — not technologists alone, not administrators alone, not investors alone. Teachers and education leaders were centered, with cross-sector participants present to translate insights into action.
The outcome is a clear, educator-informed framing of AI’s dual nature: a powerful accelerator when used well — and a serious risk to integrity and critical thinking when used poorly or without guardrails.
Key Insights Captured
1) AI’s dual nature is real
- Perceived benefits: efficiency gains for teachers; better scaffolding; differentiation and personalization.
- Perceived challenges: academic integrity risks; “answer-only learning”; erosion of productive struggle and critical thinking.
- Human element: educators emphasized protecting relationships, judgment, and “soft skills” development.
2) Teacher readiness requires more than tools
- Prompt literacy was identified as a core competency for both teachers and students.
- Ethics training and a standing “code of ethics” were repeatedly called out as essential.
- Human oversight model: an “80/20” concept emerged — AI can draft 80%, but educators must own the final 20%.
3) Practical use cases educators actually want
- Lesson planning and curriculum scaffolding (AI as a starting skeleton, not the final answer).
- Guided questioning to deepen learning (application over recall; Socratic approaches).
- Differentiation to meet diverse student needs without burdening teachers.
4) Governance must be educator-centric
- Balanced governance: avoid top-heavy, IT-only task forces; center classroom realities.
- Secure environment: privacy, data protection, and safe deployment for students.
- AI literacy curricula: preparing students for ethical AI use, not just digital literacy.
The full detail, context, and synthesis are captured in the official whitepaper.
MAIC Responsible Education Task Force
Roundtable #1 was convened by MAIC’s Responsible Education Task Force, co-led with Dr. Susan Neimand. The task force was created to bring educators, administrators, technologists, and community leaders together to explore responsible integration of AI in K–12 classrooms — with the educator voice centered.
The task force focuses on capturing teacher and student perspectives, identifying real-world risks and opportunities, developing educator-centric guidance, and bridging the gap between innovation and education practice.
Download the Whitepaper
Navigating the Integration of Artificial Intelligence in K–12 Education: An Analysis of Educator Perspectives
A synthesis of educator perspectives captured through MAIC’s Education Roundtable Series, highlighting AI’s benefits, risks, teacher readiness needs, practical classroom use cases, and the call for educator-centric governance.
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What’s Next
MAIC continues building educator-led pathways for responsible AI adoption — grounded in classroom realities, ethical guardrails, and long-term student development.