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Arrangement for session recordings on Class Collaborate Cloud for Academic Year 2024/25 Semester 2

As previously communicated, the 2024/25 Semester 2 (current semester) will be the final semester in which Class Collaborate services within LEARN@PolyU will be utilized.

Manage your mailbox size in Outlook

Mailbox Cleanup is a one-stop cleanup tool that you can use to reduce the size of your mailbox.

Assessment Moderation System

A common online Assessment Moderation System will be made available in the third quarter of 2025 to all academic departments.

Student Final Year Project Management System

A common study administration solution for student final year projects has been commissioned for the 2024/25 academic year.

New features of Department Virtual Assistant

The Department Virtual Assistant is an AI Chatbot designed to address general inquiries from staff and students based on the published information on the department’s website, leveraging the Retrieval-Augmented Generation (RAG) application.

Seamless transition: moving from Class Collaborate to Zoom for Course Instructors

Blackboard has announced the end of support for Class Collaborate. The 2024/25 Semester 2 will be the last semester in which we use Class Collaborate services.

Launch of Donation Management System

We’re happy to announce the launch of the Donor and Donation Management System (DONOR), the latest milestone in our ongoing efforts to modernize legacy applications and streamline administrative processes.

IT tools for admin workshop recordings available for staff

Two workshops on IT Tools for Admin Staff were conducted on 11 and 14 March 2025. A total of 200 colleagues participated, engaging in discussions during the Q&A sessions.

Workshop on IT tools for admin staff

We are pleased to invite all admin staff to our upcoming training session – ‘Workshop on IT Tools for Admin Staff’, designed to enhance your skills and efficiency in using essential IT tools.

AI skills workshop for students

This hands-on session will introduce you to the fundamentals of Reinforcement Learning (RL) and Deep Reinforcement Learning (DRL), equipping you with the skills to simulate lunar landings using advanced AI techniques.