Cultivating knowledge sharing in universities: An innovative approach integrating deep learning for collaborative learning platforms

Taiwo Ayodele, Shikun Zhou

Research output: Chapter in Book/Report/Published conference proceedingConference contributionpeer-review


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.
Original languageEnglish
Title of host publicationLecture Notes in Networks and Systems
PublisherSpringer Nature
Publication statusAccepted/In press - 27 Feb 2024
EventIntelligent Systems Conference 2024 (IntelliSys 2024) - Amsterdam, Netherlands
Duration: 5 Sept 20246 Sept 2024


ConferenceIntelligent Systems Conference 2024 (IntelliSys 2024)
Abbreviated titleIntelliSys 2024
Internet address

Cite this