AACTE Issues National AI Framework for Teacher Education

The American Association of Colleges for Teacher Education released a national AI framework for university-based teacher education programs on 20 August 2026, and Education Week's Sarah D. Sparks reported the document on 26 August. Those programs, by federal estimates, prepare more than 90 percent of new educators. A task force of AACTE members and outside experts drafted a starting point covering technical skills, pedagogical knowledge, and ethical judgement — not a mandated curriculum or a set of standards.

What the AACTE AI framework asks programs to teach

The framework says preservice teachers need explicit training on four clusters. Ethics and policy covers AI literacy and equitable access. Practice and implementation includes evaluating student work produced with AI tools. Cognitive issues include both the technology's biases and hallucinations and the effects of AI use on students' critical thinking. Professional expertise covers teacher judgment and teacher-student relationships. In the town-hall presentation those clusters map onto four pillars: Ethical and Policy Guardrails; Clinical Practice and Implementation; Cognitive Architecture and Advocacy; and Professional Expertise and Human Judgment.

AACTE's own text is blunt about the job of educator preparation programs. AI should augment, not replace, the expertise, relationships, and professional judgment that define effective teaching. Programs must equip future educators not only to use tools but to evaluate them, recognize limitations and bias, and decide when use is and is not appropriate. Anne Tapp Jaksa, a teacher-education professor who helped develop the framework, told Education Week that AI forces programs to reconsider what counts as evidence of learning. If a candidate can use AI to generate a polished lesson plan, reflection, or assessment, the important question becomes whether that product demonstrates the candidate's own professional reasoning.

Pena Bedesem, a co-chair of the committee and an associate professor of special education at Kent State University, said teacher training on AI to date has typically come from districts or professional organizations, often developed with industry groups and focused on specific platforms or prompts. She warned that teacher education on AI must not become just a computer science course, which would be neither efficient nor effective. That is why the framework stays at the level of judgment, ethics, and clinical practice rather than a list of approved chatbots.

Can candidates refuse AI and still earn a license

AACTE also calls for training and licensure programs to give teachers a right to refuse particular systems. Tapp Jaksa said AI is becoming increasingly difficult to avoid, but there may be a legitimate privacy, accessibility, cultural, pedagogical, or ethical reason not to use a particular system, and teachers should not be prevented from a teaching license because they choose not to use AI. The published framework asks programs, to the extent feasible, to establish transparent policies that recognize that right, including alternative non-AI pathways so non-adoption does not become a barrier to degree completion or licensure.

Opting out will be harder once teachers reach classrooms. More than 1.7 billion dollars in Title II teacher-training grants now prioritize preparing educators to use AI, per an April 2025 executive order on AI-based teacher training signed by President Donald Trump. Federal money pulling toward AI fluency and a professional association defending a conscience-based refusal is the tension Education Week flagged for state licensure offices. The framework is a starting point for those conversations, not a regulation that binds state departments of education.

Why US teacher prep is now an AI policy story

Carole Basile, dean of the Mary Lou Fulton College for Teaching and Learning Innovation at Arizona State University, told Education Week that if teacher education was designed around teaching to the average student, there is no such thing as average when AI can structure learning in different ways. ASU, she said, has overhauled curriculum to focus on how instruction could evolve, moving from training teachers to use individual tools toward helping them make their own tools and understand how AI can support rather than replace professional judgement and student relationships. That campus example sits inside AACTE's national frame rather than replacing it.

Classroom AI products already shape how teenagers and teachers meet models outside prep programs. PromptCrates has covered OpenAI ChatGPT for teens, Google Gemini notebook expert intelligence in Play Books, and ChatGPT temporary chats and personalization controls. Those consumer and K-12 surfaces are why a teacher-education association is writing about hallucinations, equity of access, and human relationships in the same document. File this as education news: AACTE's 20 August 2026 framework, Education Week's 26 August report, more than 90 percent of new US educators, four pillars, a documented right-to-refuse argument, and more than 1.7 billion dollars in Title II grants now prioritizing AI training.

Sources

• How Should AI Shape Teacher Education? — Education Week (Sarah D. Sparks), 26 August 2026
• AACTE AI Framework for Educator Preparation — AACTE PDF, August 2026