Preparing Special Education Personnel for an AI Future (Part One of Three)
Authors: James Basham, Ph.D.; info@ciddl.org
This three-part series will highlight technology integration with a focus on AI for the next generation of special education professionals. The first post will provide an overview of the changing technology landscape in special education, including how AI is reshaping instructional planning, accessibility tools, and professional expectations for both teachers and researchers.
The second post will focus on department-level strategies for preparing future personnel — from faculty development and curriculum updates to research priorities and collaborative partnerships that position programs to lead in the AI era.
The third post will provide practical AI integration ideas for immediate use in courses, including low-lift syllabus updates, in-class activities, and practicum tie-ins that help candidates apply AI tools responsibly and effectively in real-world teaching scenarios.
Introduction
Artificial intelligence (AI) is no longer a futuristic talking point; it’s here, embedded in how educators design lessons, assess student progress, and manage the complex work of teaching. As team members from CIDDL have highlighted before, for special education, the implications of AI are enormous. Adaptive learning tools can personalize reading interventions in real time. Predictive analytics can help flag students who might be at risk of falling behind. AI-powered transcription and translation can provide students with new ways to engage in learning.
However, these opportunities come with equally pressing challenges: bias in algorithms, a lack of transparency in decision-making tools, and the risk of over-relying on systems that may not fully comprehend the nuances of teaching students with disabilities. The future success of AI in special education depends on two interconnected groups:
- Future special education teachers who will integrate these tools into daily practice.
- Future special education researchers who will study, refine, and shape AI’s role in education.
Why This Matters Now
- AI is already influencing classrooms from AI-assisted writing supports to data-driven progress monitoring tools.
- Special education requires highly individualized approaches that depend on both professional expertise and ethical judgment.
- Preparation programs have the opportunity, and responsibility, to ensure the next generation of teachers and researchers are ready for AI-infused learning environments.
It is the role of universities to prepare both of these groups, conduct research, and reinforce effective practice. For many university faculty members and researchers in education and special education, this means there’s a need to rapidly learn and adopt new practices that integrate AI into coursework, model responsible technology use, and generate research that informs schools on how to apply AI tools effectively, ethically, and with an impact on student outcomes.
For Future Special Education Teachers: Preparing to Teach in an AI-Infused Classroom
Tomorrow’s special educators will step into classrooms where AI tools are as common as textbooks once were. Preparation programs must equip them to evaluate, adapt, and integrate these tools in ways that strengthen instruction, improve access, and support meaningful student progress.
1. Build AI and Technology Literacy
Special education teachers will increasingly encounter AI tools that promise faster lesson planning, individualized accommodations, or more efficient data analysis. Understanding how these systems work and where they can fall short is essential. Teachers must be able to:
- Distinguish between marketing claims and evidence-based functionality.
- Recognize potential bias in AI-driven recommendations.
- Ask critical questions about data collection and use.
2. Integrate AI into Evidence-Based Practices
AI should enhance, not replace, the proven strategies that special educators already use. For example:
- Pair AI-assisted reading comprehension supports with explicit instruction in reading strategies.
- Use AI to help track and visualize student progress, then adjust instruction based on both the data and teacher observations.
- Combine AI-driven recommendations with assistive technologies to create more accessible learning environments.
3. Address Ethics and Privacy in Daily Practice
As AI tools increasingly rely on student data, teachers must be advocates for ethical, transparent use:
- Follow privacy requirements (e.g., FERPA) and avoid unnecessary data sharing.
- Explain to families how AI tools work and how they support student goals.
- Prioritize tools that allow for educator oversight and human decision-making.
For Future Special Education Researchers: Advancing Knowledge and Practice
AI is advancing at a pace that outpaces the research guiding its application in special education. Future researchers have a critical role in generating evidence, developing evaluation methods, and shaping best practices that help schools implement AI effectively, responsibly, and with clear benefits for student learning.
1. Study the Impact of AI on Learning and Access
Researchers need to examine how AI influences instructional decision-making, student engagement, and progress toward IEP goals. Questions to explore include:
- Do AI-powered tools improve access and participation for students with disabilities?
- How do teachers integrate AI-generated recommendations into their instructional practice?
- Are there unintended effects that impact how students receive support or services?
2. Develop and Validate Evaluation Frameworks
Reliable methods are needed to determine the effectiveness and usability of AI tools in special education. This includes:
- Creating rubrics to evaluate accessibility, alignment with instructional needs, and ease of use.
- Using multimodal learning analytics to capture a complete picture of student learning beyond standardized test scores.
3. Explore Human–AI Collaboration in Decision-Making
One of AI’s strongest applications is its ability to complement educator expertise. Research should address:
- Which types of instructional or planning decisions benefit from AI support.
- How AI tools can be designed to preserve educator autonomy and judgment.
4. Address Long-Term Practical and Policy Considerations
Researchers should anticipate and document the broader impact of AI adoption in special education, including:
- Effects on teacher workload, planning time, and job satisfaction.
- Implications for how schools select, implement, and monitor AI tools.
- Recommended guidelines for responsible use, procurement, and professional development.
Shared Call to Action
The AI future in special education is already here, but whether it becomes a powerful instructional tool or a stumbling block will depend on how well we prepare our personnel.
- Future teachers must leave preparation programs confident in evaluating, using, and adapting AI tools to meet the individual learning needs of students with disabilities.
- Future researchers must have the knowledge and skills to question and develop the evidence-based and practical frameworks that guide ethical, effective, and responsible AI use in special education.
CIDDL exists to connect these two communities, fostering collaboration between teacher preparation programs and research initiatives so that every student with a disability benefits from thoughtful, informed, and ethical technology integration.
The question is not whether AI will shape the future of special education. The question is whether we will prepare the professionals who can shape AI into a force for good.
Connect with Us.
We would appreciate hearing from you. Please let CIDDL know what questions you have, what you or your department are doing (or not doing), and what type of resources and services would help support you on your technology integration journey. Or would you like your work to be highlighted? Simply reach out. We can be reached by joining our community to share ideas and questions, participating in an upcoming AI Office Hours, emailing us at info@CIDDL.org, or completing our form for suggested products and services.