Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
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.
