AI and VR enhance personalized learning for students with special needs

Category: User-Centred Design · Effect: Strong effect · Year: 2025

Artificial intelligence (AI) and virtual reality (VR) offer significant opportunities to create tailored educational experiences that cater to the unique learning needs of students with special educational needs and disabilities (SEND).

Design Takeaway

Develop AI and VR educational tools with a strong focus on personalization, accessibility, and ethical considerations to effectively support students with special educational needs.

Why It Matters

Integrating AI and VR into special education can lead to more engaging and effective learning environments. These technologies enable personalized learning pathways, adaptive feedback, and immersive experiences that can improve social engagement and cognitive development for SEND students.

Key Finding

The review found that AI and VR can significantly improve learning for students with special needs by personalizing content and offering engaging experiences, but ethical and accessibility issues need to be addressed.

Key Findings

Research Evidence

Aim: What are the opportunities and challenges of integrating AI, VR, and LLMs in special education, and what are the future directions for research and practice?

Method: Systematic Review

Procedure: A systematic review of 139 studies was conducted using a deductive thematic analysis framework to identify key themes, challenges, and future directions related to the integration of AI, VR, and LLMs in special education.

Sample Size: 139 studies

Context: Special Education

Design Principle

Design for inclusivity and personalization by leveraging adaptive technologies to meet diverse user needs.

How to Apply

When designing educational software or hardware for special education, conduct thorough user research with SEND students and educators to understand their specific requirements and co-design solutions.

Limitations

The review's findings are based on existing literature, and the rapid evolution of AI and VR technologies may mean some findings become outdated quickly. The focus is on published research, which may not capture all real-world implementations or emerging trends.

Student Guide (IB Design Technology)

Simple Explanation: New technologies like AI and VR can make learning much better for students who need extra help, by giving them lessons that are just right for them and making learning more fun.

Why This Matters: This research highlights how technology can be a powerful tool for creating more equitable and effective learning environments for all students, especially those with special needs.

Critical Thinking: To what extent can AI and VR truly replace human interaction and specialized teaching methods in special education, and what are the potential long-term consequences of over-reliance on these technologies?

IA-Ready Paragraph: The integration of Artificial Intelligence (AI) and Virtual Reality (VR) presents significant opportunities for enhancing educational experiences for students with Special Educational Needs and Disabilities (SEND). As highlighted by Voultsiou and Moussiades (2025), these technologies can foster personalized learning, improve social engagement, and advance cognitive development. However, designers must carefully consider ethical implications, accessibility barriers, and resource limitations to ensure these tools are effectively and equitably utilized.

Project Tips

How to Use in IA

Examiner Tips

Independent Variable: ["Integration of AI","Integration of VR","Integration of LLMs"]

Dependent Variable: ["Personalized learning outcomes","Social engagement","Cognitive development","Teacher attitudes","Accessibility"]

Controlled Variables: ["Specific SEND categories","Teacher training levels","Technological infrastructure","Ethical guidelines"]

Strengths

Critical Questions

Extended Essay Application

Source

A systematic review of AI, VR, and LLM applications in special education: Opportunities, challenges, and future directions · Education and Information Technologies · 2025 · 10.1007/s10639-025-13550-4