Exploring Inclusivity in AI Education: Perceptions and Pathways for Diverse Learners

Artificial Intelligence (AI)’s rise in education brings benefits and challenges. Tools like Grammarly and ChatGPT have been part of our lives, particularly in the education sector. Consequently, it is important to explore how inclusive and adaptable these tools are for students from diverse cultures and languages. This study analyzes survey data from 87 undergraduate students in Canada to identify key themes such as the need for better language translation capabilities, cultural and linguistic inclusivity, and reducing bias and Eurocentrism in AI technologies. These findings form the basis of the Adaptive and Inclusive AI Learning (AIAL) theory, which emphasizes the importance of adaptability, inclusivity, and responsiveness in AI educational technologies to meet the diverse needs for students. The research highlights the need for AI educational tools to advance technologically while remaining culturally sensitive and accessible, in order to promote educational equity and for diverse learners. It suggests a collaborative approach involving cross-cultural developers, educators, and policymakers in creating AI technologies that not only enhance educational outcomes but also respect the diversity of the global student community.