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Mikroyannidis, Alexander; Domingue, John; Third, Aisling; Tarrant, David and Pieroni, Tom
(2024).
URL: https://alexmikro.net/alxm-data/uploads/2024/08/IT...
Abstract
This paper presents the vision of the SAGE-RAI (Smart Assessment and Guided Education with Responsible AI) project. Inspired by Bloom’s seminal work on the efficacy of personalised learning, the SAGE-RAI project aims to leverage responsible Generative AI towards transforming teaching and learning practices for improved student outcomes. By exploring the integration of Generative AI into tutoring processes, we seek to provide scalable, personalised learning experiences for large cohorts of students. Our research focuses on harnessing Generative AI to offer tailored educational content and generate constructive feedback for students. By applying responsible AI practices, we aim to mitigate issues such as misinformation, copyright infringement, and bias.