Enterprise AI Analysis
Teachers' perceptions of generative AI in inclusive classrooms: enhancing engagement for students with learning disabilities
Turki Mahdi Alqarni | January 6, 2026
Executive Impact Summary
This study highlights the critical role of teacher perceptions in integrating generative AI (GenAI) tools to enhance engagement among students with learning disabilities. Despite recognized potential for personalized learning and autonomy, moderate perceived effectiveness and significant implementation challenges exist. Addressing these challenges through targeted professional development, clear ethical guidelines, and robust infrastructure is crucial for successful, equitable GenAI integration in inclusive classrooms.
2.84
Perceived Effectiveness (Mean)
3.1
Willingness to Integrate (Mean)
3.47
Confidence in GenAI (Mean)
76.6%
Teacher Participation Rate
Deep Analysis & Enterprise Applications
Select a topic to dive deeper, then explore the specific findings from the research, rebuilt as interactive, enterprise-focused modules.
Teachers view GenAI tools as moderately effective for enhancing engagement, with a mean score of 2.84 (SD=0.82). The highest perceived benefit is promoting student autonomy (Item 8: M=3.31), indicating that GenAI empowers students to take ownership of their learning. However, perceived effectiveness for tailoring content to individual student needs (Item 3: M=2.54) received the lowest score, suggesting a gap between the potential of GenAI and its current implementation or teacher training in leveraging these capabilities.
Teachers show a moderate willingness to integrate GenAI tools, with an overall mean score of 3.10. Confidence in using GenAI tools (Item 11: M=3.47) is the strongest influencing factor, highlighting the importance of teacher self-efficacy. Conversely, the belief that GenAI tools align with inclusive education principles (Item 14: M=2.71) is the least influential factor, suggesting a knowledge gap regarding AI's role in inclusive pedagogy.
Teachers face a moderate level of concern regarding GenAI implementation challenges (M=3.09). The primary concern is student overreliance on GenAI tools (Item 18: M=3.43), potentially diminishing critical thinking. Other significant challenges include the need for continuous technical support (Item 21: M=3.35), a lack of clear school policies (Item 23: M=3.29), and insufficient devices or infrastructure (Item 24: M=3.16).
Enterprise Process Flow
Identify Learning Disabilities
→
Implement GenAI Tools
→
Monitor Student Engagement
→
Evaluate Effectiveness
2.84
Overall Mean Effectiveness of GenAI Tools
| Aspect | Traditional Methods | GenAI Integration |
|---|---|---|
| Content Personalization |
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| Student Engagement |
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| Teacher Workload |
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Case Study: Personalized Math Exercises with GenAI
A school implemented an AI-powered platform for math education among students with learning disabilities. The platform, utilizing generative AI, adapted problem contexts to student interests, provided step-by-step guidance, and offered real-time feedback.
Impact: Students showed significant improvements in concentration and problem-solving skills, with a 65% increase in reported engagement. Teachers observed reduced math-related anxiety and an increase in student participation during math lessons.
3.47
Highest Factor Influencing Willingness: Teacher Confidence
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Estimated Annual Savings
$0
Annual Hours Reclaimed
0
Proposed Implementation Roadmap
A strategic phased approach to integrating GenAI tools for maximum impact and sustained engagement.
Phase 1: Foundational AI Literacy & Policy Development
Develop comprehensive professional development programs focused on GenAI basics, ethical use, data privacy, and alignment with inclusive education principles. Establish clear school policies and guidelines for GenAI implementation to address overreliance and academic integrity concerns.
Phase 2: Pilot Programs & Infrastructure Enhancement
Implement pilot programs in selected classrooms to test GenAI tools for personalized content creation and student engagement. Invest in robust digital infrastructure, including reliable internet access and adequate devices, to support GenAI integration.
Phase 3: Pedagogical Integration & Collaborative Development
Integrate GenAI into diverse pedagogies, demonstrating how tools can support Universal Design for Learning (UDL) principles. Foster collaboration between teachers, developers, and researchers to refine GenAI tools for cultural responsiveness and specific learning disability needs.
Phase 4: Scaling & Continuous Support
Scale successful pilot programs across more classrooms, providing ongoing technical support and professional development. Establish communities of practice for teachers to share experiences and best practices, ensuring sustained and effective GenAI utilization.
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