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Video
Join colleagues from the Department of Computing (COMP) and the English Language Centre (ELC) as they share their insights, experiences, challenges and plans on redesigning assessments in response to the emergence of generative AI. In this webinar, participants will learn how PolyU staff are adapting their assessment strategies to incorporate AI-generated content, while still maintaining academic integrity and ensuring student learning outcomes are met. This session will provide valuable perspectives for educators who are interested in leveraging AI in their own teaching and assessment practices.
Event Date: 30/5/2023
Facilitator(s): Richard Lui (COMP), Adam Forrester (ELC), Mitesh Patel (EDC)
- Subjects:
- Student Engagement, Assessment & Feedback, Lesson Design, and Good Practices
- Keywords:
- Artificial intelligence Computer-assisted instruction Education -- Effect of technological innovations on Educational technology
- Resource Type:
- Video
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Video
Join a panel of the Directors of the educational development/enhancement centres in UGC-funded institutions in this hybrid seminar in which they explain their respective institutions’ stance and actions towards the use of Generative AI in learning, teaching and assessment. It is our honour that the UGC Secretary-General will facilitate the panel discussion. Examples of how assessment and learning activities are re-designed in different institutions to leverage the use of Generative AI will be presented, with sharing from teachers and students.
Event Date: 8/5/2023
Speakers (in order of university name):
Prof. Kenneth Lo, Director, TED, CityU
Dr Theresa Kwong, Director, CHTL, HKBU
Prof. Chun Ka Wai, Cecilia, Director, CLEAR, CUHK
Prof. Kong Siu Cheung, Director, LTTC, EDUHK
Dr Julia Chen, Director, EDC, PolyU
Dr Sean McMinn, Director, CEI, HKUST
Prof. Cecilia KY Chan, Associate Director, CETL, HKU
Facilitator(s): Prof. James Tang, Secretary-General, University Grants Committee
- Subjects:
- Lesson Design
- Keywords:
- Artificial intelligence College teaching Artificial intelligence -- Educational applications
- Resource Type:
- Video
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Video
In this webinar, we present a selection of AI tools that are currently available, explain how to access them, and consider some potential uses of the tools in an educational setting.
Event Date: 31/3/2023
Facilitator(s): Darren Harbutt (EDC), Dick Chan (EDC), Jacky Chau (EDC), Anthony Ho (EDC)
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Video
In this ‘Student Voices’ session, students share their views on, and experiences with, emerging Generative AI tools, including ChatGPT. The session will provide a conversation opportunity between teachers and students in this rapidly changing area, and a valuable chance to hear the learner's perspective.
Event Date: 23/3/2023
Facilitator(s): Dr Julia Chen (EDC), Mr Anthony Ho (EDC)
Honourable moderator for Q&A session: Prof David Shum, Dean of FHSS
EDC Coordinator: Darren Harbutt
- Subjects:
- Lesson Design
- Keywords:
- Artificial intelligence College teaching Artificial intelligence -- Educational applications
- Resource Type:
- Video
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Video
ChatGPT is the latest generative AI tool to hit the news and universities worldwide are racing to respond to the challenges to academic integrity and opportunities to higher education it offers. In this online session, a range of participants discuss the big issues surrounding ChatGPT and other AI technology, and outline possible responses universities can make.
Event Date: 16/2/2023
Facilitator(s): Dr Julia Chen (EDC), Mr Darren Harbutt (EDC), Mr Dick Chan (EDC), Mr Adam Forrester (ELC), Prof Song Guo (COMP),Dr Melody Lu (CPCE),Prof Eric Friginal (ENGL)
- Subjects:
- Lesson Design
- Keywords:
- Artificial intelligence College teaching Artificial intelligence -- Educational applications
- Resource Type:
- Video
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Video
In this lecture, Prof. Sifakis will discuss the relevance of existing criteria for comparing human and machine intelligence and show some notable analogies and differences between scientific knowledge and that produced by neural networks. Emphasising that autonomy is an important step towards Artificial General Intelligence (AGI), he will present a characterisation of autonomous systems, and showing key differences with mental systems equipped with common sense knowledge and reasoning, and advocate challenging work directions, including the development of a new foundation for systems engineering and scientific knowledge, and the joint exploration of physical and mental phenomena that embody human intelligence.
Even date: 3/3/2023
Speaker: Prof. Joseph Sifakis
Hosted by: PolyU Academy for Interdisciplinary Research
- Subjects:
- Human-Computer Interaction
- Keywords:
- Artificial intelligence
- Resource Type:
- Video
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Video
EDC is organising a series of Sharing Sessions that present departmental project deliverables and innovations in Technology Enhanced Learning, promoting sustainable and impactful practices that resonate across PolyU and beyond, and funded by PolyU’s Quality Incentive Scheme on Online Teaching, Stage I. This session proudly presents three departments:
AP: Artificial Intelligence by Dr Dennis Leung
CBS: Large-class e-learning applications: Japanese teaching and L2L activities by Dr Jack Chun
ELC: Effective class teaching with apps by Mr Adam Forrester
Event Date: 14/12/2022
Facilitator(s): Mark, Kai Pan
- Subjects:
- Good Practices
- Keywords:
- Internet in education Motivation in education Educational technology College teaching Web-based instruction
- Resource Type:
- Video
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Courseware
This course explores the concepts and algorithms at the foundation of modern artificial intelligence, diving into the ideas that give rise to technologies like game-playing engines, handwriting recognition, and machine translation. Through hands-on projects, students gain exposure to the theory behind graph search algorithms, classification, optimization, reinforcement learning, and other topics in artificial intelligence and machine learning as they incorporate them into their own Python programs. By course’s end, students emerge with experience in libraries for machine learning as well as knowledge of artificial intelligence principles that enable them to design intelligent systems of their own.
- Course related:
- COMP3011 Design and Analysis of Algorithms, COMP1001 Problem Solving Methodology in Information Technology, COMP4434 Artificial Intelligence, and COMP2011 Data Structures
- Subjects:
- Human-Computer Interaction and Computing
- Keywords:
- Computer programming Computer science Python (Computer program language) Artificial intelligence
- Resource Type:
- Courseware
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MOOC
The Machine Learning Specialization is a foundational online program created in collaboration between DeepLearning.AI and Stanford Online. This beginner-friendly program will teach you the fundamentals of machine learning and how to use these techniques to build real-world AI applications.
This Specialization is taught by Andrew Ng, an AI visionary who has led critical research at Stanford University and groundbreaking work at Google Brain, Baidu, and Landing.AI to advance the AI field.
This 3-course Specialization is an updated version of Andrew’s pioneering Machine Learning course, rated 4.9 out of 5 and taken by over 4.8 million learners since it launched in 2012.
It provides a broad introduction to modern machine learning, including supervised learning (multiple linear regression, logistic regression, neural networks, and decision trees), unsupervised learning (clustering, dimensionality reduction, recommender systems), and some of the best practices used in Silicon Valley for artificial intelligence and machine learning innovation (evaluating and tuning models, taking a data-centric approach to improving performance, and more.) By the end of this Specialization, you will have mastered key concepts and gained the practical know-how to quickly and powerfully apply machine learning to challenging real-world problems. If you’re looking to break into AI or build a career in machine learning, the new Machine Learning Specialization is the best place to start.
- Course related:
- AAE5103 Artificial Intelligence in Aviation Industry
- Subjects:
- Computing
- Keywords:
- Machine learning Artificial intelligence
- Resource Type:
- MOOC
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Others
Kaggle offers a no-setup, customizable, Jupyter Notebooks environment. Access GPUs at no cost to you and a huge repository of community published data & code. Inside Kaggle you’ll find all the code & data you need to do your data science work. Use over 50,000 public datasets and 400,000 public notebooks to conquer any analysis in no time.
- Subjects:
- Computing
- Keywords:
- Machine learning Artificial intelligence Big data
- Resource Type:
- Others