Directing the Algorithmic Edge of Inclusive Pedagogy: A Comprehensive Review of AI- Driven Assistive Technologies in Education

Abstract: This research paper explores the transformative integration of Artificial Intelligence (AI) and human-computer interaction within inclusive digital education, focusing extensively on higher education institutions (HEIs). By synthesizing contemporary literature, structured inventories of EdTech tools and applied case studies, we analyse how AI-powered screen readers, voice assistants, speech recognition software and Natural Language Processing (NLP) interfaces pull apart traditional learning barriers for students with visual, physical and cognitive disabilities.

The findings demonstrate that AI fundamentally shifts assistive frameworks from rigid, linear and high-dependency human-mediated systems to dynamic, contextual and highly autonomous multi-modal learning environments. However, this pedagogical revolution introduces complex infrastructure requirements, acute data privacy issues, algorithmic drop- off and socio-cultural vulnerabilities—including Generative AI Addiction Syndrome (GAID) and technostress.

Keywords: Artificial Intelligence, Higher Education, Natural Language Processing, EdTech