AI in Education
PAPER SERIES
“Artificial intelligence (AI) has sparked transformative possibilities in many facets of human life in the current era of rapid technological advancement... ”
This OECD working paper examines the implications of artificial intelligence (AI) on equity and inclusion within educational settings, focusing on learner-centred, teacher-led, and institutional AI tools. It highlights AI's potential to personalise learning experiences, thereby enhancing accessibility and adaptability for diverse learners. However, the paper also identifies significant challenges, including issues related to access, inherent biases in AI algorithms, and the necessity for comprehensive teacher training to effectively integrate AI into educational practices. Ethical considerations, such as data privacy and the risk of exacerbating existing disparities, are emphasised as critical factors to address in the adoption of AI technologies in education.
Furthermore, the paper discusses the importance of maintaining educational integrity amidst the growing commercial influence in the sector. It advocates for the development of culturally responsive AI tools and the management of techno-ableism to ensure that AI applications do not marginalise students with disabilities. The need for ongoing professional development in AI for educators is underscored, alongside the encouragement of research into AI's implications for equity and inclusion. The paper calls for a balanced approach that leverages AI's benefits while mitigating its risks, ensuring that AI adoption in education supports a more equitable and inclusive learning environment.
