Abstract
This research addresses the challenges faced by students and staff in universities and organisations, including comprehension of complex tasks, problem-solving, workload management, and academic progress challenge. Many struggle to meet task requirements and fulfil responsibilities. To alleviate these challenges, we propose an innovative AI-based platform providing on-demand guidance and clarification while prioritising confidentiality and security within ethical guidelines. Through a comprehensive review of existing research, we identify gaps and present a structured framework for platform development and implementation. Our approach, integrating deep learning through natural language processing with transformer models, not only addresses common problems but also fosters a culture of collaborative knowledge-sharing.
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Ayodele, T.O., Zhou, S. (2024). Cultivating Knowledge Sharing in Universities: An Innovative Approach Integrating Deep Learning for Collaborative Learning Platforms. In: Arai, K. (eds) Intelligent Systems and Applications. IntelliSys 2024. Lecture Notes in Networks and Systems, vol 1065. Springer, Cham. https://doi.org/10.1007/978-3-031-66329-1_27
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DOI: https://doi.org/10.1007/978-3-031-66329-1_27
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