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Technology Application and Innovation
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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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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 four departments:
AMA: Use of in-class apps and videos to support communication and peer learning by Dr Raymond Sze
MM: Use of in-class apps and videos to support communication and peer learning by Dr Pamsy Hui
APSS: Assessing the wellbeing and needs of SEN students at PolyU during COVID-19 by Dr Ann Li and Dr Lu Yu SN: Virtual hospital by Dr Justina Liu
Event Date: 7/12/2022
Facilitator(s): Kam, Roy
- Subjects:
- Assessment & Feedback, Student Engagement, and Good Practices
- Keywords:
- Internet in education Motivation in education Educational technology College teaching Web-based instruction
- 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:
CEE: Digital assessment by Dr Barbara Siu
RS: Blended clinical education of Occupational Therapy and Physiotherapy programmes by Ms Josephine Wong and Mr Alexander Woo
SHTM: Virtual tours by Dr Mimi Li and Dr Daniel Leung
Event Date: 21/11/2022
Facilitator: Mark, Kai Pan
- Subjects:
- Assessment & Feedback and Good Practices
- Keywords:
- Internet in education Motivation in education Educational technology Educational tests measurements College teaching Web-based instruction
- 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.
ABCT: Effective large class teaching and learning with handy applications by Dr Joe Kim-Hung Lam
CLC: Learning with simple but effective tools by Dr Lam Yan Yan, Dr David Yuen and Dr Cheung Chi Kan (with his teammates)
Event Date: 15/11/2022
Facilitator: Mark, Kai Pan
- Subjects:
- Good Practices
- Keywords:
- Internet in education Motivation in education Educational technology College teaching Web-based instruction
- Resource Type:
- Video
-
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.
LSGI: VR for practical and e-Assessment by Dr Lawrence Lau
Event Date: 15/11/2022
Facilitator(s): Mark, Kai Pan; Lau, Lawrence
- Subjects:
- Assessment & Feedback
- Keywords:
- Internet in education Motivation in education Educational technology Educational tests measurements College teaching Web-based instruction
- Resource Type:
- Video
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Video
EDC presents a series of showcases that share project deliverables and innovations in TEL, promoting sustainable and impactful practices that resonate across PolyU and beyond. Showcase One proudly presents two departmental interventions funded by PolyU’s Quality Incentive Scheme Stage 1, which promotes eLearning, Teaching and Assessment (eLTA) by grooming and rewarding outstanding performance:
APSS on the Move: Incubation of L&T Strategies before, during and beyond the Pandemic Era.
AAE: Using an online platform, Github, to shape and build the students' problem-solving and learning-to-learn abilities through a flip-class project teaching approach.
Event Date: 13/10/2022
Presenter(s): Chui, Eric; Chu, Rodney; Hsu, Li Ta
Facilitator: Harbutt, Darren
- Subjects:
- Lesson Design, Student Engagement, and Good Practices
- Keywords:
- Internet in education Educational technology Web-based instruction
- Resource Type:
- Video
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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, Data Science and Artificial Intelligence
- Keywords:
- Artificial intelligence Machine learning
- Resource Type:
- MOOC
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Video
The QS Stars Reimagine Education Awards, backed by the Wharton School, describes itself as "The global awards for innovative higher education pedagogies enhancing learning and employability”. Over the past few years PolyU has enjoyed much success at these awards with multiple shortlisted and winning entries. In this workshop, recent PolyU winners will share their insights on converting great educational innovations into award-winning applications.
Event Date: 5/8/2022
Facilitator(s): Daniel Shek, Fridolin Ting, Johnny Yuen, Kai Pan Mark
- Subjects:
- Good Practices
- Keywords:
- Educational innovations
- Resource Type:
- Video
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Video
An online lecture on the topic of "Ultrasound: Application in Food Science and Technology". The Faculty of Applied Science and Textiles (FAST) and the Institute of Textiles & Clothing (ITC) organized the mini-lecture series for more than three years. The lectures aim to enrich students' knowledge in creative perspectives and arouse their interest in Sciences, Fashion and Textiles. In view of the unpredictable development of the COVID-19 pandemic, the upcoming mini-lecture Series will be switched from face-to-face mode to online mode.
- Subjects:
- Food Science
- Keywords:
- Ultrasonic imaging Food science
- Resource Type:
- Video
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e-book
"Knowing Home attempts to capture the creative vision of Indigenous scientific knowledge and technology that is derived from an ecology of a home place. The traditional wisdom component of Indigenous Science - the values and ways of decision-making - assists humans in their relationship with each other, the land and water, and all of creation. Indigenous perspectives have the potential to give insight and guidance to the kind of environmental ethics and deep understanding that we must gain as we attempt to solve the increasingly complex problems of the 21st century. This book provides a window into the vast storehouse of innovations and technologies of the Indigenous peoples who live in Northwestern North America. It is our hope that the Indigenous Science examples, research, and curriculum models will inspire deep reflection regarding the under-representation of Aboriginal students in the sciences. It is intended that the rich examples and cases, combined with the resources listed in the appendices, will enable teachers and students to explore Indigenous Science examples in the classroom, and in addition, support the development of curriculum projects in home places."--BC Campus website.
- Subjects:
- Area Studies
- Keywords:
- Ethnoscience Textbooks
- Resource Type:
- e-book