Exploring the Role of Artificial Intelligence in Enhancing Equity and Inclusion in Education

Abstract

The purpose of this study was to assess the impact of Artificial Intelligence (AI) on education. Premised on a narrative and framework for assessing AI identified from a preliminary analysis, the scope of the study was limited to the application and effects of AI in administration, instruction, and learning. Artificial Intelligence (AI) has emerged as a transformative force in education, promising to revolutionize traditional teaching and learning methods. One critical aspect of this transformation is AI's potential to enhance equity and inclusion in educational settings. This paper explores the current state, challenges, and opportunities regarding AI's role in promoting equity and inclusion in education. The historical evolution of AI in education is examined, tracing its roots from early intelligent tutoring systems to contemporary adaptive learning platforms and virtual tutoring systems. Advances in machine learning, natural language processing, and data analytics have expanded AI's capabilities, enabling personalized learning experiences tailored to individual student needs. However, the widespread implementation of AI in education faces several challenges, including concerns about data privacy, algorithmic bias, and the digital divide. It is crucial to address these challenges through responsible and ethical AI deployment, ensuring that AI interventions prioritize equity, inclusivity, and transparency. Further research is needed to explore the effectiveness of AI interventions in different educational contexts and to develop strategies for mitigating potential risks and maximizing benefits. By leveraging AI technologies thoughtfully and ethically, educators and policymakers can work towards building a more equitable and inclusive education system that empowers all learners to reach their full potential.