Presenter

Smaragdi Tsirantonaki, Department of Educational Studies, National and Kapodistrian University of Athens, Greece

Anastasia Vlachou, Department of Educational Studies, National and Kapodistrian University of Athens, Greece

Thematic area

Inclusive Education, Educational Technology, Differentiated Instruction, Artificial Intelligence in Education

Abstract

We will explore the transformative potential of artificial intelligence (AI) in advancing inclusive education through differentiated teaching practices. As educational systems grapple with increasing classroom diversity and persistent equity gaps, AI offers innovative tools to personalize learning, enhance accessibility, and support teachers in meeting varied student needs. Drawing on global case studies and empirical research, the study examines how AI-driven platforms—such as adaptive learning systems, assistive technologies, and real-time feedback tools—can facilitate individualized instruction and foster meaningful participation for all learners, including those with disabilities and learning challenges. The paper also critically addresses ethical concerns related to data privacy, algorithmic bias, and the digital divide, underscoring the need for responsible and context-sensitive implementation. Emphasizing the importance of teacher training, co-designed solutions, and equitable access, the study concludes that while AI is not a panacea, it holds significant promise when aligned with inclusive pedagogical frameworks. By integrating technological innovation with systemic reform, AI can play a vital role in realizing the global vision of equitable, quality education for all.

Target audience

• Teachers and special education professionals
• Educational technology specialists
• School leaders and curriculum developers
• Policy makers in education
• Researchers in inclusive education and AI

Learning outcomes of the session

At the end of the session, the participants will:

1. Have a deeper insight into how artificial intelligence can support inclusive education through differentiated teaching strategies.
2. Have a better understanding of practical AI tools and platforms that can personalize learning and improve accessibility for students with diverse needs.
3. Have experienced scenarios and case studies illustrating successful AI implementation in inclusive educational environments, fostering critical reflection on ethical, cultural, and equity considerations.

Special requirements

None