Empowering Inclusive Education: Leveraging AI-ML and Innovative Tech Stacks to Support Students with Learning Disabilities in Higher Education

In this chapter, our primary focus centers on the practical applications of artificial intelligence (AI) and machine learning (ML) technologies within the realm of higher education, specifically with a keen eye on their profound implications for students with learning disabilities. It is essential to underscore the inherent limitations of this research endeavor, stemming from the dynamic and ever-evolving nature of AI and ML technologies. Rather than immersing ourselves in the intricate intricacies of individual institutional policies, our study is firmly anchored in the objective of providing a broad spectrum of insights that resonate across the diverse landscape of higher education settings. Guided by these clearly defined objectives, scope, and operational constraints, we embark on a journey to uncover the transformative power embedded within artificial intelligence and the latest technological paradigms. Our exploration takes place within the overarching framework of fostering inclusive education, specifically tailored to cater to the unique needs and challenges faced by students with learning disabilities within the higher education sphere. At its core, our mission is to make a substantive contribution to the ongoing discourse surrounding the judicious utilization of technology as a catalyst for fashioning more equitable and empowering educational opportunities. Expanding further upon this narrative, it is pertinent to acknowledge the remarkable dynamism witnessed in the field of AI and ML. These technologies continue to evolve at an astonishing pace, often reshaping the educational landscape even before comprehensive studies can be conducted. Therefore, our research acknowledges the need for adaptability and forward-thinking strategies to harness the full potential of these tools in the context of higher education. By doing so, we aspire to not only present a snapshot of the current landscape but also to provide insights that remain relevant as these technologies continue to mature.