Professional Development

Workshop Series for AI Ready Schools & Professional Development

About This Series

This series of professional development workshops is designed for K-12 educators, administrators, and school leaders who want to understand, evaluate, and responsibly adopt AI in their schools. Each workshop is hands-on, customizable, and immediately applicable. Schools & Districts can book individual workshops or the full series.

Format: Half-day (3 hrs) or full-day (6 hrs) options available per workshop. Options to mix and match workshops are available. All workshops will be customized to your school and individual needs.

Audience: Teachers, administrators, instructional coaches, curriculum directors. Workshops can also be designed for students.

Workshop Offerings:

  • Classroom Tools & Management (Workshops 1, 2, 3, 4, 7): Focused on empowering educators with the right tools, differentiation options, and in-classroom experience to teach in the world of AI.
  • Policy & Leadership (Workshops 5, 6, 9): Focused on institutional responsibility, governance, and policy-development to ensure accountability and safe schools in the world of AI.
  • Community & Operations (Workshops 8, 10): Focused on building trust, bringing new audiences along (e.g., parents), and reinforcing accessibility of new AI tools.
Teacher leading a hands-on EducAIte professional development workshop

Why EducAIte?

EducAIte sits at the intersection of classroom experience and cutting-edge AI. Unlike other AI-focused professional development offerings on the market right now, our approach is rooted in the following principles:

  • Learn by doing, not by watching: Every workshop is hands-on with real activities.
  • Same-day classroom transfer: What you learn today you can use immediately.
  • You build the thing in the room: Participants leave with something they made, not something they were given.
  • Pedagogy and fluency together: Most development offerings today do one or the other. We believe the two must exist together to be successful.
  • Covers the whole school: Workshops are designed for every department, learning style, audience, and role type.
  • Experts in education & technology: Our team's credentials span the full picture from having a Master's in Education and 20 years supporting students and staff to degrees from UChicago Booth Center for Applied Artificial Intelligence & Kellogg. Additionally, we bring a combined 15 years of consulting and building AI-driven solutions. EducAIte offers both the instructional expertise and the strategic business experience to help your school implement AI the right way.

Ready to get started?

Contact us to discuss pricing, scheduling, and customization options.

Workshop 1 Classroom Tools and Management

Collaborating with AI: How to Use LLMs as a Thinking Partner

Learn to teach students how to collaborate with AI through hands-on practice, so every participant walks away with both the skill and the pedagogy.

Teaching students how to collaborate with AI effectively vs. just copying/pasting or regurgitating AI output is one of the most important skills educators can offer their classrooms, yet most teachers have never been taught how to do it themselves. This workshop approach is twofold: participants learn AI collaboration skills by practicing them directly, and in doing so, they experience the methods they will use with students. Every activity is designed so that educators develop comfort with how to communicate with GenAI/LLMs so they can inspire students to elevate their own critical thinking with AI.

Audience: Teachers, instructional coaches, curriculum directors. (Note: This workshop can also be designed for students)

Why it matters: Teachers can't teach what they haven't experienced. By learning AI collaboration through the same process students will use, teachers build firsthand understanding of where students get stuck and genuine confidence in how to help them.

What you'll do

  • Explore what productive AI collaboration looks like for students and practice it on a real educator task
  • Work through real examples like lesson planning, feedback drafting, test or essay prep, & discussion question design that are customized to mirror how your students should approach their own tasks with AI
  • Learn the collaboration framework students need: breaking a task into steps, prompting iteratively, evaluating AI output critically, and knowing when to push back or rewrite
  • Practice translating each educator activity into a student-facing version: the same skill, reframed for the classroom with clear direction and guardrails

Outcomes to expect

  • The experience of having learned AI the same way your students will
  • A better understanding of the AI-in-school landscape and which tools work best for your classes and student needs
  • A classroom you can return to with a concrete plan
  • Personal fluency in AI collaboration learned by doing real tasks and sampling different tools
  • The ability to recognize productive versus unproductive AI collaboration when you see it in your students' work

What you'll leave with

  • Ready-to-use classroom activities for introducing AI collaboration to students
  • A student-facing AI collaboration framework with guardrails appropriate for your grade level
  • A repeatable lesson structure for teaching AI collaboration across different subjects and assignments

★ Pro Tip: Consider pairing this workshop with Workshop 3: Prompt Engineering for Educators

Workshop 2 Classroom Tools and Management

Assessment in the Age of AI: Designing Tests That Work with Large Language Models (LLMs)

Rethink how to assess student learning in a world where AI can answer the most traditional test questions.

If a student can use ChatGPT to answer your test questions, how is this an accurate assessment of their knowledge and comprehension? Traditional testing strategies in the age of AI no longer work, but this does not need to be a bad thing! This workshop doesn't treat AI as a threat to assessments. It treats it as an invitation to design better assessments. Participants explore what genuine learning looks like in an AI-enabled world and build assessments that measure it. You will walk away from this session with a holistic understanding of how to make assessments that treat AI as a stimulus for deeper thinking.

Audience: Teachers, curriculum directors, department heads, assessment coordinators

Why it matters: Assessment drives learning. If we don't update how we assess, we create incentives for students to use AI to bypass thinking rather than deepen it.

What you'll do

  • Audit existing assessments through an 'AI lens' identifying which questions AI can answer and what that reveals about student retention
  • Explore assessment design principles that hold up in an AI-enabled environment, including process documentation, iterative drafting, oral defense, reflection, and applied judgment activities
  • Practice designing an AI-integrated assessment where students use AI as a tool but the thinking, judgment, and synthesis are demonstrably the student's own
  • Discuss grading, rubric implications, and how to assess the quality of thinking when AI is in the loop
  • Work through real examples (including your own!) from different subject areas and grade levels to learn how to 'AI-proof'

Outcomes to expect

  • A shifted mental model of what AI can do to improve how you assess learning
  • Exploration of different information retention approaches rooted in data
  • A better understanding of how the assessment design process must change
  • Confidence that your assessments are actually measuring what you think they're measuring, even when students have AI access
  • Shared vocabulary with your department or team for talking about AI-integrity in assessment design
  • The value of an “AI audit” step in your assessment strategy

What you'll leave with

  • A sample of AI-proof assessment examples to draw inspiration from
  • Lists of pre-approved prompts students can use to get started
  • A rubric framework for evaluating student work in AI-enabled tasks
  • A set of assessment design principles you can apply across your curriculum
  • Language you can use with students and parents to explain your approach

★ Pro Tip: Consider pairing this workshop with Workshop 5: AI and Academic Integrity and Workshop 7: Differentiated Instruction with AI

Workshop 3 Classroom Tools and Management

Prompt Engineering for Educators: Getting AI to Do What You Actually Want

The skill that determines whether AI is useful or frustrating, and how to teach it to students.

The quality of what an AI produces is almost entirely determined by the quality of what you ask it. Prompt engineering is the practice of crafting inputs that get genuinely useful outputs...and it is an incredibly learnable skill. This workshop teaches educators how to write effective prompts for their own work and then explores how prompt engineering connects to pedagogical goals like critical thinking, structured reasoning, and the ability to ask good questions. Participants also explore appropriate guardrails and restrictions when using AI with students.

Audience: Teachers, instructional coaches, department heads, administrators. (Note: This workshop can also be designed for students)

Why it matters: Prompt engineering is the foundational skill of the AI era for teachers and students alike. Teaching it explicitly and connecting it to existing pedagogical frameworks makes AI a tool for deeper thinking rather than a shortcut around it.

What you'll do

  • Learn the anatomy of an effective prompt: context, role, task, format, and constraints
  • Practice iterative prompting: starting broad, then refining based on output
  • Explore how prompt structure maps to Bloom's taxonomy
  • Work through educator-specific use cases: generating differentiated materials, building rubrics, summarizing research, drafting communications
  • Discuss appropriate guardrails for student use (i.e., what restrictions make sense at different grade levels and for different tasks)
  • Practice writing prompts that guide students toward thinking rather than toward answers

Outcomes to expect

  • AI fluency, not just familiarity, and confidence to use AI as a professional tool that can be easily embedded into the teaching approach you already use today
  • Reinforcement of how the way you ask a question shapes the level of thinking required
  • Immediate time savings on the tasks that currently take a lot of time out of your schedule (e.g., lesson planning, rubric writing, communication)
  • Structured, transferable questioning skills

What you'll leave with

  • A prompt library that can be shared with your educational team for your most common professional tasks
  • A framework for evaluating prompt quality and iterating on weak prompts
  • A set of student-facing prompt scaffolds appropriate for your subject and grade level
  • A guardrails framework: a set of guidelines for when and how to restrict AI use in your classroom

★ Pro Tip: Consider pairing this workshop with Workshop 1: Collaborating with AI and Workshop 4: Reading Student Prompts

Workshop 4 Classroom Tools and Management

Reading Student Prompts: What AI Interactions Reveal About Learning

Using the questions students ask AI as a window into how they think and where they're stuck.

When students interact with AI, they leave behind a detailed record of their thinking: the questions they asked, how they framed problems, what they assumed, where they got stuck, and how they responded to answers. Most educators have never been trained to read these interactions as data. This workshop teaches participants how to analyze student AI prompts as a formative assessment tool surfacing misconceptions, identifying learning gaps, and understanding how individual students approach problems.

Audience: Teachers, instructional coaches, curriculum directors, learning specialists

Why it matters: Student prompts are the most honest window into how students think that most teachers have ever had access to. Understanding how to read them and leverage them will accelerate your learning outcomes.

What you'll do

  • Work through real and hypothetical student prompt examples across different subjects and grade levels
  • Learn a framework for categorizing student prompts by cognitive level: remembering, clarification, understanding, exploration, applying, analysis, synthesis, evaluation, creation, and avoidance
  • Identify patterns that signal misconceptions, gaps in foundational knowledge, or over-reliance on AI
  • Practice using prompt analysis to inform lesson design: what would you teach differently based on what you see?
  • Discuss how to give students feedback on their AI interactions, not just their outputs
  • Explore how aggregated prompt data across a class can reveal systemic gaps vs. individual struggles

Outcomes to expect

  • A new professional skill with no real precedent: the ability to read student AI interactions as a window into how individual students think
  • A richer formative assessment picture that captures student thinking, not just student output
  • The ability to distinguish between students who are struggling with content and students who are over-relying on AI
  • A feedback loop between student AI use and your lesson design that most teachers have never had access to before

What you'll leave with

  • EducAIte proprietary framework for interpreting student responses in a standardized way
  • A prompt analysis framework you can apply to your own classroom immediately
  • Practical strategies for turning prompt patterns into instructional decisions
  • Step-by-step ways to integrate prompt insights immediately into your curriculum
  • A discussion guide for talking with students about how they are using AI

★ Pro Tip: Consider pairing this workshop with Workshop 3: Prompt Engineering for Educators

Workshop 5 Policy and Leadership

AI and Academic Integrity: Building a Policy That Actually Works

Moving beyond “no AI allowed” to a policy framework that reflects how students actually learn.

Most schools' current response to AI is either a blanket ban or deliberate avoidance of the question. Neither approach prepares students for a world where AI is ubiquitous, and neither is sustainable. This workshop guides participants through the process of building a school-wide academic integrity policy that is honest about AI, workable for teachers, fair to students, and defensible to parents and school boards. It draws on existing academic integrity frameworks and adapts them for the AI era.

Audience: Teachers, department heads, curriculum directors, principals, administration

Why it matters: A clear, honest policy is the foundation. Without it, teachers are inconsistent, students are confused, and the conversation with parents is impossible. This workshop provides clarity and guidance.

What you'll do

  • Audit your current academic integrity policy through an AI lens. Know where it holds up and where it falls short
  • Explore the spectrum of AI use from clearly prohibited (having AI write an essay and submitting it as your own) to clearly encouraged (using AI to get feedback)
  • Work through the gray areas: what counts as AI assistance vs. AI authorship, and how do you adjudicate the difference?
  • Draft a tiered policy framework including different rules for different assignment types, grade levels, and subject areas
  • Discuss how to communicate the policy to students, parents, and staff in a way that builds buy-in rather than resentment
  • Explore proactive design: how do you build assignments and assessments that make the policy largely unnecessary?

Outcomes to expect

  • Understand how to reframe or tailor policy for student audiences to ensure buy-in
  • Clarity on the gray areas that currently produce inconsistent enforcement across your school
  • A school-wide position on AI and academic integrity that teachers, students, and parents can all understand and accept
  • A shift from reactive policy (responding to incidents) to proactive design (building assignments that make violations largely irrelevant)

What you'll leave with

  • A drafted or significantly revised academic integrity policy for AI use
  • Activities to help students co-create their own policy to ensure buy-in
  • A tiered framework for categorizing AI use from prohibited to required
  • Communication templates for students, parents, and staff
  • An assignment audit checklist: how to evaluate existing tasks for AI-integrity alignment
  • Tips for holding students accountable to these policies

★ Pro Tip: Consider pairing this workshop with Workshop 1: Collaborating with AI: How to Use LLMs as a Thinking Partner, Workshop 8: Talking to Parents about AI, and Workshop 9: Responsible AI for School Leaders

Workshop 6 Policy and Leadership

Teaching AI on Purpose: Embedding AI Literacy Across Your Curriculum

Building the administrative and curricular case for teaching AI as a core 21st-century skill.

Reading, writing, and arithmetic have been the foundation of education for centuries. AI literacy is increasingly argued to belong alongside them. This workshop is designed for school leaders and curriculum directors who need to make or respond to the case for embedding AI literacy into the curriculum. It covers what AI literacy means at the K-12 level, how other districts and countries are approaching it, and what a practical implementation path looks like for schools at different stages of readiness.

Audience: Principals, curriculum directors, superintendents, school board members, instructional coaches

Why it matters: Schools that do not intentionally teach AI literacy will produce graduates who use AI unreflectively. The question is not whether students will use AI but rather how schools have shaped the 'how'.

What you'll do

  • Define what AI literacy actually means at different grade levels (it is different from computer science or coding!)
  • Review how leading districts, states, and countries are currently approaching AI in K-12 curriculum
  • Map AI literacy competencies to existing curricular frameworks: where does it fit in with what you already teach?
  • Work through the obstacles: professional development gaps, equity concerns, parent trust, budget constraints
  • Build a phased implementation roadmap appropriate for your school or district's current state
  • Practice making the case to a skeptical school board or parent group

Outcomes to expect

  • A clear, confident answer to the question your board, your parents, and your staff are already asking: “What is our school actually doing about AI?”
  • The ability to define AI literacy precisely in a way that makes curricular placement obvious rather than contested
  • A realistic implementation roadmap your school can execute, built around your specific constraints and starting point
  • A shift from AI as a conversation your school is having to AI as a program your school is building

What you'll leave with

  • A clear definition of AI literacy appropriate for your school context
  • A competency map connecting AI literacy to existing curricular standards
  • A phased implementation roadmap with realistic timelines
  • A stakeholder communication framework for building buy-in at every level

★ Pro Tip: Consider pairing this workshop with Workshop 2: Assessment in the Age of AI, Workshop 4: Reading Student Prompts, and Workshop 7: Differentiated Instruction with AI

Workshop 7 Classroom Tools and Management

Differentiated Instruction with AI: Personalizing Learning at Scale

Using AI to personalize and reach every student across every subject.

Differentiated instruction has been a cornerstone of pedagogical best practice for decades, but the reality is that most teachers do not have the time or resources to consistently differentiate for every learner in growing class sizes. AI changes that equation. This workshop explores how AI tools available today can help teachers create leveled materials, adjust reading complexity, generate alternative explanations, and build individualized practice sets without growing their workload. It also addresses how to use AI thoughtfully with students who are high-ability learners or have IEPs, 504s, or English language learning needs.

Audience: Teachers, special education staff, inclusion specialists, instructional coaches, curriculum directors

Why it matters: Differentiation has always been the right idea. AI is the first tool that makes it genuinely feasible at scale, but only if teachers know how to use it intentionally.

What you'll do

  • Identify the differentiation tasks in your current practice that consume the most time and test AI against them
  • Practice using AI to generate leveled versions of the same content for different reading or ability levels
  • Explore how AI can generate alternative explanations and examples for students who are stuck
  • Work through use cases for specific student populations: students with learning disabilities, English language learners, GATE students
  • Discuss the limits and risks: where AI differentiation falls short, and what still requires human judgment
  • Build a differentiation workflow that integrates AI without replacing teacher knowledge of individual students

Outcomes to expect

  • A differentiation practice that is sustainable, not aspirational
  • Leveled materials, alternative explanations, and modified practice sets
  • Deeper reach to the students who are hardest to serve at scale
  • A clearer boundary between what AI can handle and what still requires your professional judgment about individual students

What you'll leave with

  • A set of AI-generated differentiated materials for one of your current units
  • A reusable workflow for leveling content using AI
  • A shareable prompt library for your most common differentiation tasks
  • A framework for deciding when AI differentiation is sufficient and when a student needs more

★ Pro Tip: Consider pairing this workshop with Workshop 2: Assessment in the Age of AI and Workshop 4: Reading Student Prompts

Workshop 8 Community and Operations

Talking to Parents About AI: Facilitating the Conversation Schools Are Avoiding

Giving schools the frameworks and language to have honest, productive AI conversations with families.

Parents are anxious about AI in schools, and some want AI banned entirely. Others are frustrated that schools are not moving fast enough. Most are somewhere in between, worried about academic integrity, screen time, data privacy, and what this means for their child's future. This workshop prepares educators and administrators to lead those conversations in parent-teacher conferences, town halls, back-to-school nights, and school board meetings with clarity, honesty, and confidence.

Audience: Principals, assistant principals, teachers, school counselors, communications staff

Why it matters: Parent trust is paramount. Schools that communicate proactively and honestly about AI build the trust they need to move forward. Schools that avoid the conversation lose it.

What you'll do

  • Map the common parent concerns about AI in schools and the evidence behind each one
  • Practice explaining your school's AI approach in plain language, without jargon or defensiveness
  • Roleplay difficult conversations: the parent who wants AI banned, the parent who thinks the school is behind, the parent whose child was caught using AI on an assignment
  • Build a communication framework: what do you say proactively, what do you say reactively, and what do you never say?
  • Explore how to involve parents constructively as partners in building AI norms rather than audiences for policy announcements
  • Draft a parent communication for your school's current AI approach

Outcomes to expect

  • Confidence in having candid conversations with parents about AI usage
  • A shift from reactive damage control to proactive communication
  • Parents who feel like partners in how your school handles AI rather than audiences for policy announcements
  • A consistent school voice on AI: every teacher, counselor, and administrator saying roughly the same thing, in plain language
  • Guidance on how families can use AI at home to support instruction
  • An approach to the AI conversation that makes parents feel like partners with teachers in ensuring their students get the most out of their assignments

What you'll leave with

  • A parent communication framework you can deploy immediately
  • Talking points for the most common difficult AI conversations
  • A draft parent letter or FAQ appropriate for your school community
  • A facilitation guide for running a parent town hall on AI

★ Pro Tip: Consider pairing this workshop with Workshop 5: AI and Academic Integrity and Workshop 6: Teaching AI on Purpose

Workshop 9 Policy and Leadership

Responsible AI for School Leaders: Governance, Liability, and Policy

What every school leader needs to know about AI before their district makes a consequential decision.

Vendor selection, student data policies, acceptable use frameworks, staff training requirements...School leaders are being asked to make decisions about AI adoption without adequate preparation for the legal, ethical, and operational implications. This workshop is designed for the people who bear responsibility for those decisions. It covers the AI governance landscape for K-12 education, the liability questions that keep general counsels up at night, and the practical frameworks that districts with mature AI policies have found most useful.

Audience: Superintendents, principals, school board members, district technology directors, legal

Why it matters: AI decisions made today will shape student outcomes for years. Leaders who understand the governance dimensions are far better positioned to make decisions they can defend to their boards, their communities, and themselves.

What you'll do

  • Map the current AI governance landscape: what federal and state guidance exists, what is missing, and what that means for districts
  • Work through the key liability questions: student data privacy (FERPA, COPPA), algorithmic bias, AI-generated content and copyright, vendor contracts
  • Evaluate a sample AI vendor contract: what clauses matter, what red flags to look for, what questions to ask before signing
  • Build an AI governance framework: policy, oversight, accountability, and review cycles
  • Discuss the equity dimensions of AI adoption: access, bias, and the risk of widening existing gaps
  • Work through a case study: a district that made a high-profile AI decision and the consequences that followed

Outcomes to expect

  • A governance framework that means future AI decisions get made consistently
  • Protection from the liability exposures most districts don't know they're taking on
  • The ability to make AI adoption decisions from a position of informed judgment rather than institutional pressure
  • Confidence evaluating AI vendors before signing anything
  • An equity lens applied to AI adoption before the decisions are made, not after the gaps become visible

What you'll leave with

  • An AI governance framework template you can adapt for your district
  • A vendor evaluation checklist for AI tools
  • A liability and risk assessment framework for AI adoption decisions
  • A policy review calendar: how and when to revisit AI policies as the landscape evolves

★ Pro Tip: Consider pairing this workshop with Workshop 5: AI and Academic Integrity and Workshop 10: AI and School Security

Workshop 10 Community and Operations

AI and School Security: Using AI Responsibly to Keep Students Safer

Practical applications of AI for school safety and the ethical guardrails that have to come with them.

AI tools available today can help school safety teams do things that were previously impossible or impractical: analyze patterns across large volumes of incident reports, draft threat assessment protocols, identify language in communications that may warrant follow-up, and build more consistent emergency response documentation. This workshop is a practical, hands-on introduction to those applications paired with an honest examination of the ethical boundaries, privacy implications, and human oversight requirements that responsible use demands. No surveillance agenda, no vendor pitch...just practical skills and a clear-eyed framework.

Audience: School safety officers, assistant principals, counselors, district security directors, principals

Why it matters: School safety teams are under-resourced and overloaded. AI can meaningfully extend their capacity but only if it is used with clear ethical guardrails and strong human oversight. This workshop builds both.

What you'll do

  • Explore how AI can assist with incident report analysis: identifying patterns, summarizing histories, flagging inconsistencies
  • Practice using AI to draft and improve threat assessment protocols and emergency response documentation
  • Work through how AI can support, not replace, the human judgment required in safety decisions
  • Discuss the ethical boundaries: where AI assistance is appropriate, where it creates liability, and where it should never go
  • Explore student privacy implications: what data can and should be used, what legal frameworks apply (FERPA, COPPA, state privacy laws), and how to communicate use of AI to families

Outcomes to expect

  • A clear definition of safe vs. unsafe behavior tailored to your school
  • The ability to identify threats early
  • An appreciation of the safety discussion around AI and the role of schools in ensuring the wellbeing of its students using these tools
  • Meaningful capacity gains on the tasks that currently consume the most time: incident pattern analysis, threat assessment documentation, emergency response drafting
  • A communication position to be shared with families and school boards that is honest about how AI is being used
  • More consistent documentation across your safety team, so critical information surfaces reliably

What you'll leave with

  • A practical AI workflow for at least one current safety team task
  • A responsible use framework for AI in the school safety & security context
  • A privacy and legal checklist for AI use in security operations
  • Talking points for communicating AI use in safety contexts to families and school boards

★ Pro Tip: Consider pairing this workshop with Workshop 8: Talking to Parents about AI and Workshop 9: Responsible AI for School Leaders

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