The Undergraduate students, especially those working on their final year dissertations, face a challenging task. They need to demonstrate a deep understanding of concepts and knowledge in their field of study.
As the body of research grows ever larger, it becomes increasingly difficult for students to connect all relevant knowledge to their specific research problems. Studies have shown that using information maps, which can include literature reviews, videos, diagrams, and other sources, can significantly enhance the learning process. However, creating and maintaining these maps can be difficult for new researchers, taking up valuable time and requiring constant effort to keep them updated.
The STAR project, led by the MCAST, aims to address these challenges by designing an AI application that can automatically generate a scrapbook of research information. This application, which can be moderated by a supervisor and categorized based on different learning styles, aims to make the dissertation process easier for students. The project also seeks to explore how well this AI tool is accepted by both students and supervisors.
The team is currently training an AI model on various published material to eventually test the application with a sample of students and supervisors. This initial testing will help determine how relevant and useful the automatically generated information is. For students, particularly those conducting research dissertations, the AI application could be a game-changer. If successful, the AI application can also help students and supervisors explore alternative sources and methods of representation, making it easier to understand and map information.
For example, the tool could identify webinars and other audio resources that might be more accessible for some students than traditional written papers, while also offering to supervisors the potential to track which sources students interact with. From a broader perspective, this project pushes the boundaries of AI by exploring how generative AI can support educational processes.
The insights gained from this project could lead to further advancements in the field of AI, demonstrating its potential to autonomously generate useful, relevant information for academic purposes.
Project STAR financed by the Xjenza Malta, for and on behalf of the Foundation for Science and Technology, through the FUSION: R&I Research Excellence Programme under grant agreement number R&I-2023-043 (STAR).
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