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Alexander Mikroyannidis presents SAGE-RAI at the 2024 Intelligent Tutoring Systems conference
Alexander Mikroyannidis, Monday 17 Jun 2024
KMi’s Senior Research Fellow Alexander Mikroyannidis has given a presentation at the 20th international conference on Intelligent Tutoring Systems (ITS2024). This renowned event addresses a wide range of Intelligent Tutoring Systems (ITS) topics, including Computer and Cognitive Sciences, Artificial Intelligence, as well as Deep Learning in Tutoring and Education. ITS is evolving to a new concept of Artificial Intelligence, which can be found in various disciplines and can serve human education and well-being. This new concept is named: Generative Intelligence. Generative Intelligence concerns various AI systems, techniques, architectures, methods, or tools based on deep and machine learning which can be used to generate texts, images, solutions, and environments, able to enhance human intelligence, cognitive capacities, memory, and learning. Instead of trying to reproduce human behaviour or recognise human traits using artificial intelligence techniques or learning analytics, Generative Intelligence provides means to increase human cognitive potential.
Alexander presented a paper about the ongoing UKRI funded project SAGE-RAI, which aims to responsibly deploy Generative AI for smart assessment and guided education. 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.
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