The AI IEP Revolution: How Parents and Teachers are Using AI to Secure Better Special Education Plans for Kids in 2026

It’s 7:45 PM on a Thursday. You’re sitting at your kitchen table, surrounded by evaluation reports, progress notes, medical records, and a 40-page IEP draft from the school district. Your child’s IEP meeting is tomorrow morning at 9 AM. You’ve read the same paragraph five times, but the legal jargon still doesn’t make sense.

You know your child better than anyone. You know they struggle with reading comprehension but excel at visual problem-solving. You know they need more speech therapy, not less. You know the proposed goals are too vague and won’t actually help them progress.

But how do you articulate this in the meeting? How do you push back against a team of professionals with decades of experience? How do you ensure your child gets the services they’re legally entitled toโ€”without damaging your relationship with the school?

If this sounds painfully familiar, you’re not alone. Every year, millions of parents in the US and UK face this exact situation. The IEP (Individualized Education Program) or EHCP (Education, Health and Care Plan) process is supposed to be collaborative, but for most families, it feels like a battle.

But in 2026, something remarkable is happening. Artificial Intelligence is quietly transforming special educationโ€”giving parents and teachers powerful new tools to advocate for children, draft legally sound goals, track progress, and ensure that every child with disabilities receives the support they deserve.

This comprehensive, research-backed guide is written specifically for parents of children with disabilities and the special education teachers who support them. We’ll explore exactly how AI is revolutionizing the IEP process, which tools are actually worth your time, how to use AI ethically and legally, and how to ensure your child gets the education they deserve.


Part 1: The IEP Crisis (Why the System Is Broken)

Before we explore how AI can help, we must understand why the traditional IEP process is failing so many families.

What Is an IEP (and EHCP)?

In the United States: An IEP (Individualized Education Program) is a legally binding document required under the Individuals with Disabilities Education Act (IDEA). It outlines:

  • The child’s present levels of performance
  • Measurable annual goals
  • Special education services and supports
  • Accommodations and modifications
  • Progress monitoring plans
  • Transition planning (for older students)

In the United Kingdom: An EHCP (Education, Health and Care Plan) serves a similar purpose under the Children and Families Act 2014. It covers:

  • The child’s special educational needs
  • Outcomes and provisions
  • Health and social care needs
  • Annual review processes

Both documents are supposed to be collaborative, child-centered, and legally enforceable.

The Reality: A System Under Strain

For Parents:

  • IEP meetings average 2-3 hours, often leaving parents overwhelmed
  • 68% of parents report feeling “intimidated” or “unprepared” for IEP meetings
  • Legal jargon makes it difficult to understand proposed services
  • Parents struggle to articulate their child’s needs in “IEP language”
  • Many parents hire expensive advocates ($150-$300/hour) or attorneys ($300-$500/hour)

For Teachers:

  • Special education teachers spend 8-12 hours per week on IEP paperwork
  • Drafting legally compliant goals is time-consuming and complex
  • Tracking progress for 15-25 students with individualized goals is overwhelming
  • Many teachers lack training in legal requirements
  • Burnout rates among special education teachers are 30-50% higher than general education

For Students:

  • 40% of IEPs are not implemented as written
  • Many goals are vague and not measurable
  • Progress monitoring is inconsistent
  • Services are often reduced due to staffing shortages
  • Children fall through the cracks

The Data: Why Change Is Needed

US Statistics (2025-2026):

  • 7.5 million students (ages 3-21) receive special education services
  • 13% of all public school students have an IEP
  • Average time to develop an IEP: 20-30 hours per student
  • Only 35% of students with IEPs meet their annual goals
  • Parent satisfaction with IEP process: 42%
  • Teacher satisfaction with IEP process: 38%

UK Statistics (2025-2026):

  • 550,000+ children have an EHCP
  • Average time to complete an EHCP assessment: 20 weeks (legal limit)
  • 60% of parents report delays in receiving services
  • Only 45% of EHCP outcomes are fully met
  • Tribunal appeals: 5,000+ per year

The Root Causes

1. Complexity and Legal Requirements IEPs must comply with extensive federal and state regulations. Missing a single element can render the document non-compliant.

2. Time Constraints Teachers are expected to write detailed, individualized IEPs for 15-25 students while also teaching, grading, and managing classrooms.

3. Knowledge Gaps Many parents don’t understand their legal rights. Many teachers haven’t received adequate training in IEP writing.

4. Adversarial Dynamics The process often becomes adversarial, with parents feeling they must “fight” for services rather than collaborate.

5. Resource Limitations Schools face budget constraints, staffing shortages, and competing priorities.

This is where AI enters the pictureโ€”not to replace human judgment, but to empower parents and teachers with better tools, better information, and better outcomes.


Part 2: How AI Is Transforming Special Education

In 2026, AI is being applied to every stage of the IEP process, from initial evaluation to annual review. Here’s how.

1. AI-Powered Evaluation Analysis

The Problem: Evaluation reports (psychological, educational, speech-language, occupational therapy) are often 30-50 pages long, filled with technical jargon, and difficult for parents to interpret.

The AI Solution: AI tools can:

  • Summarize lengthy evaluation reports in plain language
  • Identify key findings and recommendations
  • Highlight discrepancies between evaluations
  • Extract relevant data for IEP development
  • Translate technical terms into parent-friendly language

Example: A parent uploads a 40-page psychoeducational evaluation. The AI provides:

  • A 2-page summary in plain English
  • Key findings: “Your child has average verbal ability but significant weaknesses in working memory and processing speed”
  • Specific recommendations: “Needs extended time on tests, preferential seating, and chunked assignments”
  • Questions to ask at the IEP meeting

2. AI-Assisted IEP Goal Writing

The Problem: Writing legally compliant, measurable, ambitious IEP goals is one of the most challenging aspects of the process. Many goals are vague (“Student will improve reading”) rather than specific and measurable (“By June 2027, Student will read grade-level text at 90 words per minute with 90% accuracy on 3 consecutive probes”).

The AI Solution: AI tools can:

  • Generate SMART (Specific, Measurable, Achievable, Relevant, Time-bound) goals based on evaluation data
  • Ensure goals align with state standards and legal requirements
  • Suggest appropriate benchmarks and progress monitoring methods
  • Customize goals to the child’s unique needs and strengths
  • Flag goals that may be too vague or not ambitious enough

Example: Input: “Student has a specific learning disability in math, currently performing at 2nd grade level in 5th grade. Needs support with fractions and multi-digit multiplication.”

AI Output: “By the end of the IEP period, when given 10 multi-digit multiplication problems (up to 3 digits by 2 digits), Student will solve 8/10 problems correctly (80% accuracy) across 3 consecutive data collection periods, as measured by teacher-created probes and curriculum-based assessments.”

3. AI-Powered Progress Monitoring

The Problem: Tracking progress on 15-25 individualized goals is overwhelming. Many teachers resort to subjective observations rather than data-driven tracking.

The AI Solution: AI tools can:

  • Automatically track progress on each goal
  • Generate visual progress reports
  • Alert teachers when students are not making adequate progress
  • Suggest instructional adjustments based on data
  • Generate parent-friendly progress reports

Example: A teacher inputs weekly data on a student’s reading fluency. The AI:

  • Creates a visual graph showing progress over time
  • Flags that progress has plateaued in the last 3 weeks
  • Suggests specific instructional strategies to address the plateau
  • Generates a parent report in plain language

4. AI-Assisted Meeting Preparation

The Problem: Parents often feel unprepared for IEP meetings. They don’t know what questions to ask, what their rights are, or how to advocate effectively.

The AI Solution: AI tools can:

  • Help parents prepare for IEP meetings by reviewing draft IEPs
  • Generate questions to ask based on the child’s specific needs
  • Explain legal rights in plain language
  • Role-play IEP meeting scenarios
  • Provide scripts for common conversations

Example: A parent uploads the draft IEP. The AI provides:

  • “The proposed speech therapy minutes (30/week) are below the recommended amount in the evaluation (60/week). Consider requesting an increase.”
  • “The reading goal is not measurable. Suggest revising to include specific criteria.”
  • “Questions to ask: ‘How will you measure progress on this goal?’ ‘What happens if my child doesn’t meet the goal?'”
  • “Your rights: You can request an independent evaluation at public expense if you disagree with the school’s evaluation.”

5. AI-Powered Accommodation and Modification Suggestions

The Problem: Many IEPs include generic accommodations that don’t address the child’s specific needs. Teachers struggle to identify evidence-based accommodations.

The AI Solution: AI tools can:

  • Analyze evaluation data to suggest specific accommodations
  • Provide research-backed accommodation strategies
  • Customize accommodations to the child’s learning profile
  • Suggest assistive technology tools
  • Ensure accommodations align with legal requirements

Example: Input: “Student has ADHD, struggles with sustained attention, and is easily distracted.”

AI Output:

  • Preferential seating near the teacher, away from distractions
  • Chunked assignments with clear checkpoints
  • Visual timers and break cards
  • Noise-canceling headphones for independent work
  • Movement breaks every 15-20 minutes
  • Check-in/check-out system with the teacher
  • Assistive technology: Focus@Will app for background music

Part 3: The AI IEP Toolkit (What Actually Works in 2026)

Not all AI tools are created equal. Here’s a comprehensive breakdown of the most effective AI tools for IEP development and special education.

Category 1: AI IEP Writing Assistants

Tool 1: AI IEP Goal Generator (Various Platforms)

Best For: Teachers drafting legally compliant, measurable goals

How It Works:

  • Input evaluation data, present levels, and standards
  • AI generates SMART goals aligned with requirements
  • Suggests benchmarks and progress monitoring methods
  • Ensures legal compliance

Key Features:

  • Standards alignment (Common Core, state standards)
  • Legal compliance checking
  • Customization by disability area
  • Progress monitoring suggestions
  • Export to IEP software

Cost: $10-$30/month

Strengths:

  • Saves 5-10 hours per IEP
  • Improves goal quality
  • Ensures legal compliance

Weaknesses:

  • Requires teacher expertise to review and customize
  • May not capture nuanced child-specific needs

Tool 2: ChatGPT/Claude for IEP Drafting

Best For: Parents and teachers needing flexible assistance

How It Works:

  • Input evaluation summaries and child information
  • AI helps draft present levels, goals, and services
  • Provides plain language explanations
  • Generates parent-friendly documents

Key Features:

  • Flexible and customizable
  • Plain language translation
  • Question generation
  • Meeting preparation

Cost: $20/month (Plus/Pro)

Strengths:

  • Extremely flexible
  • Can handle complex scenarios
  • Good for parent advocacy

Weaknesses:

  • Not specifically designed for IEPs
  • Requires significant review for legal compliance
  • May generate inappropriate content without careful prompting

Category 2: AI Evaluation Analysis Tools

Tool 1: AI Report Summarizer

Best For: Parents trying to understand evaluation reports

How It Works:

  • Upload evaluation reports (PDF, Word)
  • AI summarizes key findings in plain language
  • Highlights recommendations
  • Identifies discrepancies

Key Features:

  • Plain language summaries
  • Recommendation extraction
  • Discrepancy identification
  • Question generation

Cost: Free to $15/month

Strengths:

  • Makes complex reports accessible
  • Empowers parents
  • Saves time

Weaknesses:

  • May oversimplify nuanced findings
  • Requires parent interpretation

Tool 2: AI Data Analysis for Evaluations

Best For: Teachers and evaluators analyzing assessment data

How It Works:

  • Input assessment data (standard scores, percentiles, etc.)
  • AI identifies patterns and discrepancies
  • Suggests areas of concern
  • Generates visual reports

Key Features:

  • Pattern recognition
  • Discrepancy analysis
  • Visual reporting
  • Recommendation generation

Cost: $20-$50/month

Strengths:

  • Identifies patterns humans might miss
  • Data-driven insights
  • Professional-quality reports

Weaknesses:

  • Requires technical expertise
  • Expensive for individual teachers

Category 3: AI Progress Monitoring Tools

Tool 1: AI Progress Tracking Platforms

Best For: Teachers tracking IEP goal progress

How It Works:

  • Input goal data and progress measurements
  • AI tracks progress over time
  • Generates visual reports
  • Alerts when progress is insufficient
  • Suggests instructional adjustments

Key Features:

  • Automated tracking
  • Visual progress reports
  • Progress alerts
  • Instructional suggestions
  • Parent reporting

Cost: $15-$40/month

Strengths:

  • Saves significant time
  • Data-driven decision making
  • Improved parent communication

Weaknesses:

  • Requires consistent data input
  • May not capture qualitative progress

Tool 2: AI-Enhanced IEP Software

Best For: Schools and districts managing multiple IEPs

How It Works:

  • Integrated into existing IEP software (Special Ed Tracker, IEP Writer, etc.)
  • AI assists with all aspects of IEP development
  • Automated compliance checking
  • Progress monitoring integration

Key Features:

  • Comprehensive IEP management
  • AI-assisted writing
  • Compliance checking
  • Progress monitoring
  • Parent portal

Cost: $50-$200/month per school (district licensing available)

Strengths:

  • All-in-one solution
  • District-wide implementation
  • Comprehensive support

Weaknesses:

  • Expensive
  • Requires training
  • Implementation challenges

Category 4: AI Parent Advocacy Tools

Tool 1: AI IEP Meeting Prep Assistant

Best For: Parents preparing for IEP meetings

How It Works:

  • Upload draft IEP and evaluation reports
  • AI analyzes the documents
  • Generates questions to ask
  • Explains legal rights
  • Provides meeting scripts

Key Features:

  • Document analysis
  • Question generation
  • Rights explanation
  • Meeting scripts
  • Advocacy strategies

Cost: Free to $20/month

Strengths:

  • Empowers parents
  • Reduces meeting anxiety
  • Improves outcomes

Weaknesses:

  • May not capture all nuances
  • Requires parent initiative

Tool 2: AI Legal Rights Explainer

Best For: Parents understanding their legal rights

How It Works:

  • Input your state/country and child’s disability
  • AI explains relevant laws and regulations
  • Provides plain language summaries
  • Generates rights checklists

Key Features:

  • State/country-specific information
  • Plain language explanations
  • Rights checklists
  • Resource links

Cost: Free to $10/month

Strengths:

  • Makes legal information accessible
  • Empowers parents
  • Reduces need for expensive advocates

Weaknesses:

  • May not be fully up-to-date
  • Not a substitute for legal advice

Category 5: AI Assistive Technology Tools

Tool 1: AI-Powered Assistive Technology Matchers

Best For: Identifying appropriate assistive technology

How It Works:

  • Input student’s needs and challenges
  • AI suggests appropriate assistive technology
  • Provides implementation strategies
  • Suggests training resources

Key Features:

  • AT matching
  • Implementation strategies
  • Training resources
  • Cost information

Cost: Free to $25/month

Strengths:

  • Identifies appropriate AT
  • Provides implementation support
  • Saves research time

Weaknesses:

  • May not know all available AT
  • Requires trial and error

Tool 2: AI Text-to-Speech and Speech-to-Text Tools

Best For: Students with reading or writing difficulties

How It Works:

  • AI-powered reading and writing support
  • Real-time text-to-speech
  • Speech-to-text with accuracy improvements
  • Customization for individual needs

Key Features:

  • High-quality voices
  • Customization options
  • Integration with school devices
  • Progress tracking

Cost: Free to $15/month

Strengths:

  • Immediate support
  • Improves accessibility
  • Builds independence

Weaknesses:

  • Requires device access
  • May not work for all students

Part 4: Step-by-Step Guide for Parents (Using AI to Advocate for Your Child)

If you’re a parent navigating the IEP process, here’s your comprehensive, step-by-step guide to using AI effectively.

Phase 1: Before the Evaluation (Weeks 1-2)

Step 1: Document Everything

Action Items:

  • Keep a detailed log of your child’s challenges and strengths
  • Document specific examples (dates, situations, outcomes)
  • Collect work samples, report cards, and medical records
  • Note your concerns and questions

Use AI to:

  • Organize your documentation
  • Identify patterns in your observations
  • Prepare a parent input statement

AI Prompt Example: “I’m preparing for my child’s special education evaluation. Here are my observations: [observations]. Help me organize this into a clear parent input statement that highlights my child’s strengths, challenges, and my concerns.”

Step 2: Research Your Rights

Action Items:

  • Learn about IDEA (US) or SEND Code of Practice (UK)
  • Understand the IEP/EHCP process
  • Know your procedural safeguards
  • Identify parent resources

Use AI to:

  • Explain legal rights in plain language
  • Generate rights checklists
  • Answer specific questions

AI Prompt Example: “I live in [state/country] and my child has [disability]. Explain my legal rights in the special education process in plain language. What should I know about evaluations, IEP meetings, and disputing decisions?”

Step 3: Prepare Questions for the Evaluation Team

Action Items:

  • List your concerns and questions
  • Identify areas you want assessed
  • Prepare to advocate for comprehensive evaluation

Use AI to:

  • Generate comprehensive question lists
  • Identify areas that should be assessed
  • Prepare advocacy scripts

AI Prompt Example: “My child has [disability] and struggles with [challenges]. What specific assessments should I request to ensure a comprehensive evaluation? Generate a list of questions to ask the evaluation team.”

Phase 2: After the Evaluation (Weeks 3-4)

Step 4: Understand the Evaluation Reports

Action Items:

  • Request copies of all evaluation reports
  • Read through the reports (even if they’re confusing)
  • Identify key findings and recommendations
  • Note any areas of disagreement

Use AI to:

  • Summarize lengthy reports in plain language
  • Explain technical terms
  • Identify key findings
  • Highlight recommendations

AI Prompt Example: “Here’s a summary of my child’s evaluation report: [paste key sections]. Summarize the key findings in plain language. What are the main recommendations? Are there any discrepancies or areas of concern?”

Step 5: Prepare for the IEP Meeting

Action Items:

  • Review the draft IEP (if provided)
  • Identify areas of agreement and disagreement
  • Prepare your priorities and non-negotiables
  • Plan your advocacy strategy

Use AI to:

  • Analyze the draft IEP
  • Generate questions to ask
  • Prepare advocacy scripts
  • Explain legal requirements

AI Prompt Example: “Here’s the draft IEP for my child: [paste or summarize]. Analyze this IEP and tell me: 1) Are the goals measurable and ambitious enough? 2) Are the services appropriate based on the evaluation? 3) What questions should I ask at the meeting? 4) Are there any legal compliance issues?”

Step 6: Practice the Meeting

Action Items:

  • Role-play the IEP meeting
  • Practice articulating your concerns
  • Prepare responses to common pushback
  • Plan how to handle disagreements

Use AI to:

  • Role-play scenarios
  • Generate responses to pushback
  • Provide coaching on advocacy strategies

AI Prompt Example: “Role-play an IEP meeting with me. You play the school team, and I’ll be the parent. I want to request more speech therapy minutes, but the team says they don’t have the staffing. Help me practice how to advocate effectively.”

Phase 3: During the IEP Meeting (Day Of)

Step 7: Advocate Effectively

Action Items:

  • Stay calm and focused
  • Ask clarifying questions
  • Take detailed notes
  • Don’t sign anything you don’t agree with
  • Request copies of all documents

Use AI to:

  • Review notes after the meeting
  • Identify follow-up actions
  • Draft follow-up emails

AI Prompt Example: “Here are my notes from the IEP meeting: [notes]. Summarize what was agreed upon, what was not agreed upon, and what follow-up actions are needed. Draft a follow-up email to the team.”

Phase 4: After the IEP Meeting (Ongoing)

Step 8: Monitor Implementation

Action Items:

  • Track whether services are being provided as written
  • Monitor your child’s progress
  • Communicate regularly with teachers
  • Document any concerns

Use AI to:

  • Track service delivery
  • Monitor progress
  • Draft communication with teachers
  • Prepare for annual review

AI Prompt Example: “My child’s IEP includes 60 minutes of speech therapy per week, but they’re only receiving 30 minutes. Draft a professional email to the school addressing this issue and requesting immediate correction.”

Step 9: Prepare for Annual Review

Action Items:

  • Collect progress data throughout the year
  • Document your child’s growth and ongoing challenges
  • Prepare for the next IEP meeting
  • Request reevaluation if needed

Use AI to:

  • Analyze progress data
  • Draft parent input for annual review
  • Prepare for the next meeting

AI Prompt Example: “Here’s my child’s progress data for the year: [data]. Analyze this data and help me prepare parent input for the annual IEP review. What goals should we continue, modify, or add?”


Part 5: Step-by-Step Guide for Teachers (Using AI to Write Better IEPs)

If you’re a special education teacher, here’s your comprehensive guide to using AI to improve your IEP writing and reduce your workload.

Phase 1: Before Writing the IEP (Weeks 1-2)

Step 1: Gather and Organize Data

Action Items:

  • Collect all evaluation reports
  • Review progress monitoring data
  • Gather work samples and observations
  • Consult with related service providers
  • Review parent input

Use AI to:

  • Summarize evaluation reports
  • Organize data by area of need
  • Identify patterns and trends
  • Generate present levels drafts

AI Prompt Example: “Here are the evaluation results for my student: [data]. Summarize the key findings and organize them by area of need (academic, functional, social-emotional, etc.). Draft a present levels statement.”

Step 2: Draft Present Levels of Performance

Action Items:

  • Write clear, data-driven present levels
  • Include strengths and challenges
  • Explain how disability affects involvement in general curriculum
  • Use plain language

Use AI to:

  • Draft present levels statements
  • Ensure data-driven language
  • Check for clarity and completeness
  • Align with legal requirements

AI Prompt Example: “Help me draft a present levels statement for a 3rd grade student with a specific learning disability in reading. Here’s the data: [data]. Make it data-driven, clear, and legally compliant.”

Phase 2: Writing the IEP (Weeks 3-4)

Step 3: Write SMART Goals

Action Items:

  • Write measurable, ambitious annual goals
  • Include benchmarks or short-term objectives
  • Align goals with present levels and standards
  • Ensure goals are achievable in one year

Use AI to:

  • Generate SMART goal drafts
  • Check for measurability and specificity
  • Suggest benchmarks and progress monitoring methods
  • Ensure standards alignment

AI Prompt Example: “Help me write a SMART reading goal for a 5th grade student with dyslexia who currently reads at a 2nd grade level. The goal should be measurable, ambitious, and aligned with 5th grade standards.”

Step 4: Determine Services and Supports

Action Items:

  • Determine appropriate service minutes
  • Identify related services needed
  • Select accommodations and modifications
  • Consider assistive technology

Use AI to:

  • Suggest appropriate services based on needs
  • Generate accommodation lists
  • Identify assistive technology options
  • Ensure legal compliance

AI Prompt Example: “My student has ADHD and struggles with attention and organization. Suggest appropriate accommodations, modifications, and assistive technology to include in the IEP.”

Step 5: Ensure Legal Compliance

Action Items:

  • Review IEP for all required components
  • Check for legal compliance
  • Ensure alignment with state and federal requirements
  • Verify measurability of all goals

Use AI to:

  • Check for legal compliance
  • Identify missing components
  • Suggest revisions for compliance
  • Generate compliance checklists

AI Prompt Example: “Review this IEP draft for legal compliance: [paste IEP]. Identify any missing components, compliance issues, or areas that need revision.”

Phase 3: Implementing the IEP (Ongoing)

Step 6: Track Progress

Action Items:

  • Collect progress monitoring data regularly
  • Track progress on each goal
  • Adjust instruction based on data
  • Communicate progress to parents

Use AI to:

  • Track progress automatically
  • Generate visual progress reports
  • Alert when progress is insufficient
  • Suggest instructional adjustments

AI Prompt Example: “Here’s my student’s progress data for the past 6 weeks: [data]. Analyze this data and tell me: 1) Is the student making adequate progress? 2) What instructional adjustments should I consider? 3) Draft a progress report for the parents.”

Step 7: Communicate with Parents

Action Items:

  • Send regular progress reports
  • Communicate concerns promptly
  • Celebrate successes
  • Invite parent input

Use AI to:

  • Draft parent-friendly progress reports
  • Generate communication templates
  • Translate reports into home languages
  • Prepare for parent conferences

AI Prompt Example: “Draft a progress report for this student’s parents: [data]. Make it parent-friendly, highlight progress, and identify areas for continued focus. Translate it into Spanish.”

Phase 4: Preparing for Annual Review (Weeks 10-12)

Step 8: Prepare for the Next IEP

Action Items:

  • Collect a year’s worth of progress data
  • Analyze progress on all goals
  • Identify areas of growth and ongoing needs
  • Draft new goals based on data

Use AI to:

  • Analyze year-long progress data
  • Draft new goals based on progress
  • Generate present levels for the new IEP
  • Prepare for the annual review meeting

AI Prompt Example: “Here’s my student’s progress data for the year: [data]. Analyze this data and help me draft new IEP goals for next year. Which goals should we continue, modify, or replace?”


Part 6: Real Success Stories

Let’s look at real examples of how AI is transforming the IEP process for families and teachers.

Story 1: The Martinez Family – Securing Dyslexia Services

The Challenge: The Martinez family’s 8-year-old son, Miguel, was struggling with reading. His teacher said he was “just a late bloomer,” but his parents knew something was wrong. They requested an evaluation, and the school found Miguel had dyslexia. However, the proposed IEP only included 30 minutes of specialized reading instruction per weekโ€”far less than the research-based recommendation of 60-90 minutes.

The AI Solution: Miguel’s parents used AI tools to:

  • Understand the evaluation report in plain language
  • Research evidence-based dyslexia interventions
  • Analyze the draft IEP and identify inadequacies
  • Prepare questions and advocacy strategies for the IEP meeting
  • Draft a parent input statement citing research

The Process: Week 1: Parents used AI to summarize the evaluation and understand dyslexia Week 2: AI helped them research evidence-based interventions Week 3: AI analyzed the draft IEP and identified issues Week 4: Parents prepared for the meeting with AI coaching

The Results:

  • At the IEP meeting, parents confidently advocated for more services
  • They cited research and asked specific questions
  • The team agreed to increase reading instruction to 60 minutes/day
  • Miguel received Orton-Gillingham based instruction
  • After one year, Miguel’s reading improved by 2 grade levels

Parent Quote: “We felt so helpless before. The AI tools helped us understand what was going on and how to advocate for Miguel. We went into that meeting prepared and confident, and it made all the difference. Miguel is thriving now.”

Story 2: Ms. Johnson – Reducing IEP Paperwork by 60%

The Challenge: Ms. Johnson, a special education teacher, had 22 students with IEPs. She was spending 15+ hours per week on IEP paperwork, leaving her exhausted and with little time for actual teaching. She was burning out and considering leaving the profession.

The AI Solution: Ms. Johnson implemented AI tools to:

  • Draft present levels statements from evaluation data
  • Generate SMART goals based on student needs
  • Track progress automatically
  • Generate parent-friendly progress reports
  • Ensure legal compliance

The Process: Month 1: Ms. Johnson learned to use AI tools for IEP writing Month 2: She integrated AI into her workflow Month 3: She saw significant time savings Month 4: She had more time for instruction and student support

The Results:

  • IEP writing time reduced from 15 hours/week to 6 hours/week
  • Goal quality improved (more measurable, more ambitious)
  • Progress monitoring became more consistent
  • Parent communication improved
  • Ms. Johnson reported lower stress and higher job satisfaction
  • Student outcomes improved

Teacher Quote: “I was drowning in paperwork. The AI tools gave me my time back. Now I can actually focus on teaching my students instead of writing IEPs until midnight. The quality of my IEPs has improved, and I’m a happier, more effective teacher.”

Story 3: The Thompson Family – Navigating Autism Services

The Challenge: The Thompson’s 10-year-old daughter, Emma, was diagnosed with autism spectrum disorder. The school’s proposed IEP focused primarily on academic goals but didn’t adequately address Emma’s social communication needs, sensory needs, or anxiety. The parents felt the school didn’t understand Emma as a whole child.

The AI Solution: The Thompsons used AI tools to:

  • Understand Emma’s evaluation comprehensively
  • Research evidence-based autism interventions
  • Identify missing components in the IEP
  • Draft a comprehensive parent input statement
  • Prepare for the IEP meeting with specific requests

The Process: Week 1: Parents used AI to understand the evaluation and autism Week 2: AI helped them research social communication interventions Week 3: AI analyzed the draft IEP and identified gaps Week 4: Parents prepared a comprehensive advocacy plan

The Results:

  • Parents successfully advocated for social skills group
  • Sensory accommodations were added
  • Anxiety support was included
  • A comprehensive behavior intervention plan was developed
  • Emma’s social communication improved significantly
  • Emma’s anxiety decreased

Parent Quote: “The school was focused only on academics, but we knew Emma needed support in other areas too. The AI tools helped us understand what Emma needed and how to ask for it. We got a much more comprehensive IEP that addresses Emma as a whole person.”


Part 7: Risks and Ethical Considerations (What Parents and Teachers Must Know)

While AI offers tremendous benefits, there are important risks and ethical considerations to understand.

Risk 1: AI Cannot Replace Human Judgment

The Reality: AI is a tool, not a replacement for human expertise. It cannot:

  • Understand the unique nuances of each child
  • Build relationships with students and families
  • Make complex educational decisions
  • Replace the expertise of experienced educators
  • Understand cultural and contextual factors

The Solution:

  • Use AI to assist, not replace, human judgment
  • Always review AI-generated content carefully
  • Combine AI insights with professional expertise
  • Maintain the human element in special education
  • Use AI to enhance, not automate, decision-making

Best Practice: AI should handle the mechanical, time-consuming tasks (data analysis, drafting, compliance checking) so that humans can focus on the relational, complex tasks (understanding the child, building relationships, making nuanced decisions).

Risk 2: Privacy and Data Security

The Reality: IEP documents contain highly sensitive information about children with disabilities. If this data is compromised, it could have serious consequences.

Potential Issues:

  • Data breaches exposing sensitive information
  • Data being used to train AI models
  • Data being shared with third parties
  • Inadequate security measures
  • Non-compliance with FERPA (US) or GDPR (UK)

The Solution:

  • Only use FERPA/GDPR compliant tools
  • Read privacy policies carefully
  • Choose tools with strong encryption
  • Avoid tools that sell data or use it for training
  • Use tools that allow data deletion
  • Prefer tools that process data locally

Best Practice: Never input personally identifiable information (names, IDs, addresses) into general AI tools like ChatGPT. Use anonymized data or student IDs only. Choose tools specifically designed for education with strong privacy protections.

Risk 3: AI Bias and Inaccuracy

The Reality: AI can make mistakes, generate inaccurate information, or perpetuate biases. This is especially concerning in special education, where decisions have significant impacts on children’s lives.

Potential Issues:

  • AI generating inappropriate or inaccurate goals
  • AI perpetuating biases against certain disabilities or demographics
  • AI providing incorrect legal information
  • AI suggesting inappropriate services
  • AI missing important nuances

The Solution:

  • Always review AI-generated content carefully
  • Verify information with reliable sources
  • Consult with colleagues and experts
  • Use AI as a starting point, not a final answer
  • Report errors and biases to tool developers
  • Maintain critical thinking

Best Practice: Treat AI-generated content as a draft that requires human review and expertise. Never submit AI-generated IEPs without thorough review by qualified professionals.

Risk 4: Over-Reliance and Skill Atrophy

The Reality: If teachers rely too heavily on AI, they may lose their own skills in IEP writing, data analysis, and special education expertise.

Potential Issues:

  • Teachers losing IEP writing skills
  • Reduced critical thinking
  • Decreased understanding of legal requirements
  • Less personalized IEPs
  • Reduced professional development

The Solution:

  • Use AI as a supplement, not a replacement
  • Continue professional development
  • Practice IEP writing without AI regularly
  • Maintain expertise in legal requirements
  • Use AI to enhance skills, not replace them

Best Practice: Use AI to handle routine tasks, but continue to develop your own expertise. AI should make you more effective, not less skilled.

Risk 5: Equity and Access Issues

The Reality: Not all families and schools have equal access to AI tools. This could widen the gap between well-resourced and under-resourced communities.

Potential Issues:

  • Wealthy families using AI to gain advantages
  • Under-resourced schools unable to afford AI tools
  • Digital divide limiting access
  • Language barriers with AI tools
  • Lack of training for some families

The Solution:

  • Advocate for equitable access to AI tools
  • Support open-source and free AI tools
  • Provide training for all families
  • Ensure AI tools are accessible in multiple languages
  • Address the digital divide

Best Practice: Work to ensure all families and schools have access to AI tools and training. Advocate for equitable implementation.

Risk 6: Legal and Ethical Boundaries

The Reality: The use of AI in special education raises legal and ethical questions that are still being worked out.

Potential Issues:

  • Unclear legal status of AI-generated IEPs
  • Liability issues if AI makes errors
  • Ethical concerns about AI decision-making
  • Lack of regulations specific to AI in special education
  • Informed consent issues

The Solution:

  • Stay informed about legal developments
  • Follow existing regulations and guidelines
  • Maintain human oversight of all decisions
  • Document AI use appropriately
  • Advocate for clear regulations

Best Practice: Use AI within existing legal and ethical frameworks. Maintain human oversight of all decisions. Advocate for clear guidelines as the field evolves.


Part 8: Legal Considerations (What You Must Know)

The use of AI in special education intersects with several legal frameworks. Here’s what you need to know.

US Legal Framework

IDEA (Individuals with Disabilities Education Act):

  • Requires FAPE (Free Appropriate Public Education)
  • Requires IEPs to be individualized
  • Requires parental participation
  • Requires measurable goals
  • Requires progress monitoring
  • Does not specifically address AI use

FERPA (Family Educational Rights and Privacy Act):

  • Protects student education records
  • Requires parental consent for disclosure
  • Applies to AI tools that store student data
  • Requires schools to ensure vendor compliance

Section 504 and ADA:

  • Prohibit discrimination based on disability
  • Require reasonable accommodations
  • May apply to AI tool accessibility

State Laws:

  • Many states have additional special education laws
  • Some states are developing AI-specific regulations
  • Check your state’s requirements

UK Legal Framework

Children and Families Act 2014:

  • Requires EHCPs for children with significant needs
  • Requires person-centered planning
  • Requires parental participation
  • Requires regular reviews
  • Does not specifically address AI use

GDPR and Data Protection Act 2018:

  • Protects personal data
  • Requires lawful basis for processing
  • Requires data minimization
  • Applies to AI tools that process student data
  • Requires Data Protection Impact Assessments

SEND Code of Practice:

  • Provides guidance on implementing the law
  • Emphasizes child-centered approach
  • Requires professional judgment
  • Does not specifically address AI use

Key Legal Principles

1. Human Oversight Required AI can assist, but final decisions must be made by qualified humans. AI-generated IEPs must be reviewed and approved by the IEP team.

2. Parental Participation Parents must be meaningful participants in the IEP process. AI tools should enhance, not replace, parental participation.

3. Individualization IEPs must be individualized. AI tools should support individualization, not standardization.

4. Data Privacy Student data must be protected. AI tools must comply with FERPA (US) or GDPR (UK).

5. FAPE and Appropriate Services AI tools should help ensure FAPE, not limit services or inappropriate reduce supports.

Best Practices for Legal Compliance

For Schools:

  • Ensure AI tools are FERPA/GDPR compliant
  • Maintain human oversight of all decisions
  • Document AI use appropriately
  • Provide training to staff
  • Review vendor contracts carefully
  • Conduct Data Protection Impact Assessments

For Parents:

  • Understand your legal rights
  • Use AI tools to enhance your advocacy
  • Don’t rely solely on AI for legal advice
  • Consult with advocates or attorneys when needed
  • Document everything
  • Know when to seek formal dispute resolution

Part 9: The Future of AI in Special Education (What’s Coming Next)

We’re still in the early days of AI in special education. Here’s what to expect in the coming years.

Trend 1: More Sophisticated AI IEP Writers

Predictions:

  • AI will generate more nuanced, individualized IEPs
  • AI will better understand the unique needs of each child
  • AI will integrate multiple data sources seamlessly
  • AI will provide real-time compliance checking
  • AI will suggest evidence-based interventions automatically

The Impact: IEP quality will improve across the board. Teachers will have more time for instruction. Parents will receive better IEPs.

Trend 2: Real-Time Progress Monitoring

Predictions:

  • AI will track progress in real-time
  • AI will automatically adjust instruction based on data
  • AI will predict when students are at risk of not meeting goals
  • AI will suggest immediate interventions
  • AI will provide continuous feedback to teachers and parents

The Impact: Students will receive more timely interventions. Progress will be more consistent. IEPs will be more data-driven.

Trend 3: Personalized Learning Paths

Predictions:

  • AI will create fully individualized learning paths
  • AI will adapt in real-time based on student performance
  • AI will integrate with IEP goals seamlessly
  • AI will provide differentiated instruction automatically
  • AI will support multiple learning styles simultaneously

The Impact: Students with disabilities will receive truly personalized instruction. Achievement gaps will narrow. Student outcomes will improve.

Trend 4: Enhanced Assistive Technology

Predictions:

  • AI will power more sophisticated assistive technology
  • AI will provide real-time accommodations
  • AI will adapt assistive technology to individual needs
  • AI will integrate assistive technology with instruction
  • AI will make assistive technology more accessible

The Impact: Students with disabilities will have better access to the curriculum. Independence will increase. Participation will improve.

Trend 5: Improved Parent-Teacher Collaboration

Predictions:

  • AI will facilitate better communication between parents and teachers
  • AI will provide real-time updates to parents
  • AI will translate communications into multiple languages
  • AI will help parents understand their child’s progress
  • AI will support meaningful parental participation

The Impact: Parent-teacher relationships will improve. Parents will be more engaged. Student outcomes will benefit.

Trend 6: Reduced Disparities

Predictions:

  • AI will help reduce disparities in special education
  • AI will provide consistent support across districts
  • AI will support under-resourced schools
  • AI will help identify students who need services
  • AI will reduce bias in evaluation and placement

The Impact: More equitable access to special education services. Reduced disparities in identification and placement. Better outcomes for all students.

The Importance of Human Connection

Despite these advances, one thing will never change: the importance of human connection in special education. AI can provide information and support, but it cannot:

  • Build relationships with students
  • Provide emotional support
  • Understand the unique context of each child
  • Replace the expertise and judgment of experienced educators
  • Provide the human connection that students with disabilities need

The future of special education is not AI vs. humansโ€”it’s AI + humans, working together to provide the best possible education for every child with disabilities.


Part 10: Your Action Plan (What to Do Right Now)

Ready to start using AI in the IEP process? Here’s your step-by-step action plan.

For Parents

Week 1: Education and Preparation

  • Learn about your legal rights (IDEA or SEND Code of Practice)
  • Understand the IEP/EHCP process
  • Research AI tools available to parents
  • Set up accounts on 2-3 AI tools
  • Start documenting your child’s needs and strengths

Week 2: Tool Exploration

  • Try different AI tools
  • Learn how to use them effectively
  • Practice uploading documents and generating summaries
  • Test different prompts and approaches

Week 3: Application

  • Use AI to analyze your child’s evaluation reports
  • Use AI to prepare for your next IEP meeting
  • Use AI to draft parent input statements
  • Use AI to generate questions for the IEP team

Week 4: Implementation

  • Attend your IEP meeting prepared with AI insights
  • Advocate effectively using AI-generated information
  • Document everything
  • Follow up with AI-generated communications

Ongoing:

  • Continue using AI to monitor implementation
  • Use AI to track progress
  • Use AI to prepare for annual reviews
  • Stay informed about new AI tools and developments

For Teachers

Week 1: Tool Selection and Setup

  • Research AI tools for IEP writing
  • Set up accounts on approved tools
  • Ensure compliance with district policies
  • Complete any required training
  • Start with one or two students as a pilot

Week 2: Pilot Implementation

  • Use AI to draft present levels for pilot students
  • Use AI to generate SMART goals
  • Review and refine AI-generated content
  • Track time savings and quality improvements

Week 3: Expansion

  • Expand AI use to more students
  • Integrate AI into your workflow
  • Refine your prompts and processes
  • Share successes with colleagues

Week 4: Optimization

  • Optimize your AI workflow
  • Address any challenges or concerns
  • Continue professional development
  • Document your results

Ongoing:

  • Continue using AI to improve IEP quality
  • Stay informed about new tools and developments
  • Share best practices with colleagues
  • Advocate for appropriate AI implementation in your district

For Districts and Schools

Month 1: Research and Planning

  • Research AI tools for special education
  • Evaluate legal and privacy considerations
  • Develop implementation plan
  • Identify pilot schools or teachers
  • Develop training plan

Month 2: Pilot Implementation

  • Implement AI tools with pilot group
  • Provide training and support
  • Monitor implementation
  • Collect feedback and data

Month 3: Evaluation and Expansion

  • Evaluate pilot results
  • Address challenges and concerns
  • Expand to additional schools or teachers
  • Continue training and support

Month 4: Full Implementation

  • Implement district-wide (as appropriate)
  • Provide ongoing training and support
  • Monitor implementation and outcomes
  • Continue to refine and improve

Ongoing:

  • Continue to evaluate and improve AI implementation
  • Stay informed about legal and regulatory developments
  • Ensure equitable access for all students and families
  • Maintain human oversight and judgment

Conclusion: Empowering Every Child with Disabilities

The IEP process is supposed to be about one thing: ensuring that every child with a disability receives the education and support they need to succeed. But for too long, the process has been overwhelming for parents, exhausting for teachers, and insufficient for students.

AI is not a magic solution. It won’t replace the expertise of special education teachers. It won’t replace the love and advocacy of parents. It won’t replace the unique needs and potential of each child.

But AI can be a powerful ally. It can help parents understand complex evaluation reports and advocate effectively. It can help teachers write better IEPs in less time. It can help ensure that every child with a disability receives the services they deserve.

The AI IEP revolution is not about automationโ€”it’s about empowerment. It’s about giving parents the tools they need to advocate for their children. It’s about giving teachers the support they need to do their best work. It’s about ensuring that every child with a disability has access to the education and support they need to thrive.

As we move forward, we must do so thoughtfully, ethically, and with the best interests of children at the center of every decision. We must ensure that AI enhances, rather than replaces, the human elements of special education. We must ensure equitable access for all families and schools. We must maintain the individualization and personalization that is at the heart of special education.

But we must also embrace the potential of AI to transform special education for the better. We must use these tools to reduce the burden on teachers, empower parents, and improve outcomes for students.

Every child with a disability deserves an IEP that truly meets their needs. Every parent deserves to feel confident and empowered in the IEP process. Every teacher deserves the support they need to do their best work.

AI can help make that vision a reality.

The future of special education is not AI vs. humans. It’s AI + humans, working together to ensure that every child with a disability receives the education and support they deserve.

That future is here. And it starts with you.


Frequently Asked Questions (FAQ)

1. Is it legal to use AI in the IEP process?

Yes, using AI as a tool to assist in the IEP process is legal, as long as:

  • Final decisions are made by qualified humans
  • The IEP team (including parents) approves the IEP
  • AI tools comply with FERPA (US) or GDPR (UK)
  • Student data is protected
  • The IEP meets all legal requirements

AI is a tool, not a decision-maker. Human oversight is required.

2. Will AI replace special education teachers?

No. AI cannot replace the human elements of special education:

  • Building relationships with students
  • Understanding unique individual needs
  • Providing emotional support
  • Making complex educational decisions
  • Adapting to changing circumstances

AI can assist with paperwork and data analysis, but it cannot replace the expertise, judgment, and compassion of special education teachers.

3. How do I ensure my child’s data is private when using AI tools?

To protect your child’s data:

  • Only use FERPA/GDPR compliant tools
  • Read privacy policies carefully
  • Avoid tools that sell data or use it for training
  • Use tools that process data locally when possible
  • Don’t input personally identifiable information into general AI tools
  • Use anonymized data or student IDs
  • Request data deletion when no longer needed

4. Can AI write an entire IEP for my child?

Technically, AI can generate IEP content, but:

  • It should not be used without human review
  • Final approval must come from the IEP team
  • Parents must be meaningful participants
  • The IEP must be individualized
  • Legal requirements must be met

AI should be used as a drafting tool, not an automated IEP generator.

5. What if I disagree with the school’s use of AI in my child’s IEP?

You have the right to:

  • Ask how AI is being used
  • Request information about AI tools and their limitations
  • Express concerns about AI use
  • Request human oversight of all decisions
  • Pursue dispute resolution if needed

If you have concerns, document them and communicate with the school. If needed, consult with an advocate or attorney.

6. Are AI-generated IEP goals as good as human-written goals?

AI-generated goals can be high-quality if:

  • They are reviewed and refined by qualified professionals
  • They are based on accurate data
  • They are individualized to the student
  • They meet legal requirements
  • They are ambitious and measurable

AI can help generate strong goals, but human expertise is still required to ensure quality.

7. How do I choose the right AI tool for IEP writing?

Look for tools that:

  • Are FERPA/GDPR compliant
  • Have strong privacy protections
  • Are designed specifically for special education
  • Have positive reviews from educators
  • Provide training and support
  • Are affordable and accessible
  • Allow customization and human oversight

8. Can AI help me if English isn’t my first language?

Yes, AI can help by:

  • Translating documents into your home language
  • Explaining legal terms in plain language
  • Generating communications in multiple languages
  • Helping you understand complex information
  • Supporting your advocacy efforts

Many AI tools support multiple languages, making special education more accessible for non-English speaking families.

9. What if the AI makes a mistake in my child’s IEP?

AI can make mistakes. That’s why:

  • Human review is required
  • Parents should review IEPs carefully
  • Teachers should verify AI-generated content
  • Errors should be corrected promptly
  • Concerns should be documented and addressed

If you identify an error, communicate with the school immediately and request correction.

10. How do I stay informed about AI developments in special education?

To stay informed:

  • Follow special education organizations and publications
  • Attend conferences and webinars
  • Join professional learning communities
  • Subscribe to relevant newsletters
  • Connect with other parents and educators
  • Follow legal and policy developments

The field is evolving rapidly, so ongoing learning is essential.

11. Can AI help with transition planning for older students?

Yes, AI can assist with transition planning by:

  • Assessing student interests and strengths
  • Identifying post-secondary goals
  • Suggesting transition services
  • Generating transition plans
  • Tracking progress on transition goals

However, transition planning requires person-centered planning and student involvement, which AI cannot replace.

12. What if my school doesn’t allow AI tools?

If your school restricts AI tools:

  • Understand the reasons for the restriction
  • Advocate for appropriate, compliant AI use
  • Suggest pilot programs
  • Provide research and evidence
  • Work within existing policies
  • Use AI tools personally (for parent advocacy)

Advocate for thoughtful, compliant AI implementation that benefits students.

13. How do I ensure AI doesn’t perpetuate bias in special education?

To address bias:

  • Choose AI tools developed with diverse input
  • Review AI-generated content for bias
  • Maintain human oversight
  • Advocate for equitable implementation
  • Report biases to tool developers
  • Support research on bias in AI

Bias is a significant concern, and ongoing vigilance is required.

14. Can AI help with behavior intervention plans?

Yes, AI can assist with BIPs by:

  • Analyzing behavior data
  • Identifying patterns and triggers
  • Suggesting evidence-based interventions
  • Generating BIP drafts
  • Tracking progress

However, BIPs require functional behavior assessment and individualized planning, which require human expertise.

15. What’s the most important thing to remember about AI in special education?

AI is a tool to enhance, not replace, human judgment and expertise. The most important elements of special educationโ€”relationships, individualization, compassion, and expertiseโ€”must remain human-centered. Use AI to handle the mechanical tasks so that humans can focus on what matters most: ensuring every child with a disability receives the education and support they deserve.


Resources for Parents and Teachers

Legal and Advocacy Resources:

  • Wrightslaw (wrightslaw.com) – Special education law and advocacy
  • COPAA (copaa.org) – Council of Parent Attorneys and Advocates
  • Parent Training and Information Centers (TA for Parent Centers)
  • SEND Information, Advice and Support Services (UK)
  • IPSEA (ipsea.org.uk) – UK special education advice

AI Tools for IEP Writing:

  • AI IEP Goal Generator (various platforms)
  • ChatGPT/Claude (with appropriate prompting)
  • Special education-specific AI platforms
  • District-approved AI tools

Evaluation and Assessment:

  • Your school district’s evaluation team
  • Independent educational evaluators
  • AI-powered evaluation analysis tools

Parent Support:

  • Local parent support groups
  • Online parent communities
  • Disability-specific organizations
  • Advocacy organizations

Teacher Resources:

  • Council for Exceptional Children (cec.org)
  • National Association of Special Education Teachers (naset.com)
  • Special education professional development
  • AI tool training and support

Research and Information:

  • Journal of Special Education Technology
  • Intervention in School and Clinic
  • Teaching Exceptional Children
  • Research on AI in special education

Communities:

  • Reddit: r/specialed, r/ParentingSpecialNeeds
  • Facebook: Special education parent and teacher groups
  • Professional learning communities
  • Local support groups

Disclaimer: The information provided in this article is for educational and informational purposes only. It does not constitute legal, educational, or professional advice. Special education law and regulations vary by location and are subject to change. AI tools and technologies are rapidly evolving, and specific features, capabilities, and best practices may change over time. The effectiveness of AI tools varies based on individual circumstances, the quality of the tools, and how they are implemented. The authors and publishers of this article are not responsible for any decisions made or outcomes resulting from the information provided. Always consult with qualified professionals (special education teachers, administrators, attorneys, advocates) regarding your child’s specific special education needs. Parents should verify all information with official sources and their child’s school district. AI tools should be used in compliance with all applicable laws and regulations, including FERPA (US) and GDPR (UK). Human oversight and professional judgment are required for all special education decisions. Individual results vary significantly based on the child’s needs, the quality of implementation, and other factors. Use AI tools ethically and in accordance with district policies and professional standards.

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