Smart Learning: Integrating Generative AI in your University Life
Workshop/ Training/ Webinar
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Date
29 Aug 2024
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Organiser
ITS
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Time
10:00 - 12:00
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Venue
M403, M404 / Online via Microsoft Teams
Enquiry
IT HelpCentre (Hotline) 2766 5900 / (WhatsApp/ WeChat) 6577 9669
Summary
Date: 29 Aug 2024 (Thu)
Time: 10:00 - 12:00
Venue: M403, M404 / Online via Microsoft Teams
Target Audience: All students
Medium of Instruction: English
*Below sessions contain identical content.
Date: 27 Aug, 29 Aug, 2 Sep, 4 Sep, 6 Sep, 10 Sep, 11 Sep, 12 Sep, 16 Sep, 17 Sep, 19 Sep, 20 Sep, 25 Sep, 26 Sep
What You Will Learn
- Gain insights into how GenAI technologies can transform traditional study methods and enhance learning efficiency.
- Discover how GenAI can tailor educational content to individual learning styles and needs, providing immediate feedback and guidance.
- Learn about GenAI-powered summarization and testing tools that effectively condense course materials and reinforce learning.
- Explore how GenAI assists in assignments and projects such as brainstorming, collaboration & cohesion in group projects, preliminary feedback & scoring.
- Understand how GenAI is applied in specialized fields such as humanities for language learning, engineering for code editing, and design for creative processes.
Agenda
1. Introduction to GenAI in Education
- Introduction to common GenAI tools & platforms
- Exploring how GenAI technologies can transform traditional study methods, enhance learning efficiency, and save time
2. AI-assisted Lectures
- Tailoring lessons to individual learning styles and needs
- Provide immediate feedback and ongoing guidance to students
3. Revision Techniques
- Summarize course materials effectively
- Explore GenAI-generated mock tests and quizzes designed to assess and reinforce understanding of the material
4. Assignment and Project Support
- Brainstorming, planning, structuring & providing ideas
- Mistake checking, text reorganization and beautifying
- Providing initial feedback and probable scoring
- Division of labor and report integration in group projects
5. Domain-Specific Applications
- Language learning and translation (Humanities)
- Code writing and editing (Engineering)
- GenAI in design (Fashion and Textiles)
- Automating literature reviews and managing citations (Research)