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Case Study
This case study explores the implementation of a flipped classroom model in the "Imaging Anatomy" (HTI17102) course, taught by Prof. Law Ka Wai, Helen and Ms. So Kit Ming, Moon. It showcases effective practices, including the use of pre-class videos for student revision, the strategic selection of educational technology to support diverse learning activities, and the application of multifaceted methods to motivate students. The study also provides a candid identification of the challenges encountered during implementation, such as the ongoing task of maintaining student interest throughout the course and the complexities of time management for instructors preparing and running the flipped classroom.
- Subjects:
- Lesson Design and Good Practices
- Keywords:
- Web-based instruction Computer-assisted instruction Blended learning
- Resource Type:
- Case Study
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Case Study
This case study explores the implementation of a flipped classroom model in "Cellular Pathology" courses, designed to empower you to take control of your learning. Discover how the instructors developed a suite of digital resources to facilitate your self-study before class, allowing in-person time to focus on deeper discussion and complex concepts. To make learning more accessible and integrated into your daily life, the model also utilizes popular social media platforms to deliver content. The study provides a balanced view, celebrating the increased flexibility and resource accessibility while honestly addressing common hurdles like ensuring consistent pre-class preparation and helping students manage their independent study time effectively.
- Subjects:
- Lesson Design and Good Practices
- Keywords:
- Web-based instruction Computer-assisted instruction Blended learning
- Resource Type:
- Case Study
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Case Study
This case study reveals the successful, large-scale implementation of a flipped classroom model across four core electrical engineering courses: "Circuit Analysis" (EE2002), "Electronics" (EE2003), "Analogue and Digital Circuits" (EE3001), and "Power Electronics and Drives" (EE3003), taught by Dr. Liang Hui Wen, Rebecca. It demonstrates how the model reshapes the learning journey through customized pre-class materials, enabling students to arrive prepared for lectures focused on advanced problem-solving and practical application. The resource details specific engagement strategies, including incentive structures for pre-class preparation and the use of custom-made resources tailored to complex mathematical demands. Providing a transparent evaluation, the study discusses real-world challenges such as mixed student feedback on certain material formats and outlines methods for refining the effectiveness of in-class collaborative sessions.
- Subjects:
- Lesson Design and Good Practices
- Keywords:
- Web-based instruction Computer-assisted instruction Blended learning
- Resource Type:
- Case Study
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Case Study
This case study explores the innovative integration of generative AI within a flipped classroom model for the course "Exploring Fashion" (SFT102FY), taught by Professor Kit-lun Yick. It demonstrates how AI can be leveraged to efficiently create diverse and thought-provoking pre-class materials, prompting students to engage with core concepts independently. This approach re-purposes in-class time for vibrant discussions, collaborative activities, and high-impact, student-centered learning. The study provides a practical roadmap for modern course design, offering an honest evaluation of the implementation process, including strategies for managing the initial preparation workload and effectively engaging students in large-class settings.
- Subjects:
- Good Practices and Lesson Design
- Keywords:
- Web-based instruction Computer-assisted instruction Blended learning
- Resource Type:
- Case Study
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Video
Geospatial data finds applications in a wide array of fields, including urban planning, environmental management, disaster response, and transportation, leveraging spatial patterns to support decision-making in various sectors. Nevertheless, errors, imprecision, and complexities in datasets containing information about space and/or time can undermine the quality and reliability of spatial data and analyses. This issue of uncertainty in geospatial science (GIS) is expected to intensify as AI-driven geospatial applications become increasingly widespread, according to Prof. Michael GOODCHILD, Distinguished Professor Emeritus in the Department of Geography, University of California, Santa Barbara, USA.
On 1 August 2025 (Friday), Prof. Goodchild gave the 42nd PAIR Distinguished Lecture on the topic of “Geospatial Futures”. Joined by 76 in-person participants and an online audience of 15,310, the Lecture reviewed the key developments and legacy practices in the evolution of GIS, revealing the forthcoming directions and future prospects in the field. In the Lecture, Prof. Goodchild briefly introduced the history of GIS, discussing how innovations in areas including measurements, naming conventions, computing, global positioning system (GPS) and locating-measuring technologies have combined to propel the development of GIS.
According to Prof. Goodchild, the explosion of data and diffusion of advanced technologies, including machine learning, generative AI and digital twins in the modern era, would present multiple new technical problems to GIScience, including geographic bias, transparency of machine learning, environmental cost, and uncertainty in predictions, challenging the fitness-for-use of geographic systems built. In the Lecture, he emphasised a new direction for GIS: the achievement of more powerful and cheaper computation for finer-resolution data, better models, machine learning and 3D photorealism. In illustrating the importance of computational breakthroughs for GIS, he shared several compelling examples of digital twin models that give virtual representations of physical landscapes such as volcanoes, coastal regions and urban environments. In closing his presentation, Prof. Goodchild drew attention to the ethics of GIS, remarking that “while software developers are maximising the use of general-purpose GIS packages, the public should exercise responsibility in using the software appropriately and repurposing it.”
Prof. Goodchild is a Senior Fellow at PAIR, and Chairman of the International Advisory Committee of the Otto Poon Charitable Foundation Smart Cities Research Institute (SCRI).
Event date: 1/8/2025
Speaker: Prof. Michael GOODCHILD
Hosted by: PolyU Academy for Interdisciplinary Research
- Subjects:
- Land Surveying and Geo-Informatics
- Keywords:
- Geospatial data Geographic information systems
- Resource Type:
- Video
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Video
Catalysis can accelerate chemical reactions and plays a key role in producing cleaner and more economical fuels. On 17 September 2025, Prof. WANG Yong from Washington State University, USA, delivered a PAIR Distinguished Lecture titled “Catalysis: Driving Affordable Clean Energy”. He shared insights into the potential of advanced catalytic technologies in revolutionising fuel production and reducing emissions. The lecture attracted over 120 in-person attendees, with more than 17,900 online viewers tuning in via various social media platforms. At the beginning of his talk, Prof. Wang explained the definition of catalysis: the use of catalysts to lower the activation energy required to initiate a chemical reaction, thereby enabling reactions to proceed more rapidly and efficiently with minimal energy input. An excellent catalyst must possess high stability to effectively facilitate the interactions among reactants to form products.
Prof. Wang then introduced his team’s research achievements in the field of the Fischer-Tropsch process. They discovered that this process, developed in the last century, can convert coal, natural gas or biomass into liquid fuels, and that its reaction rate naturally fluctuates between high and low levels. This intriguing phenomenon may pave the way for more efficient fuel production in the future.
Prof. Wang also discussed how catalytic converters in vehicle exhaust systems use metals such as platinum, palladium, and rhodium to purify emissions and reduce pollutants. He pointed out that hydrothermal ageing techniques can be used to stabilise single-atom catalysts and enhance their catalytic activity.
In summary, these studies demonstrate the immense potential of advanced catalytic technologies in revolutionising fuel production and emissions control, laying the foundation for cleaner and more efficient energy systems.
The subsequent question-and-answer session was chaired by Prof. WANG Lianzhou, Chair Professor of Energy Materials in the Department of Applied Biology and Chemical Technology. Both in-person and online audiences engaged in fruitful exchanges and discussions with the two professors.
Event date: 17/9/2025
Speaker: Prof. WANG Yong
Hosted by: PolyU Academy for Interdisciplinary Research
- Subjects:
- Chemistry
- Keywords:
- Clean energy Catalysis
- Resource Type:
- Video
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Video
Metamorphosis is an innate natural attribute in the evolution and survival of species. The development of shape-shifting robots is a core area within the field of intelligent structures. By integrating computational intelligence, there is hope for achieving true embodied intelligence in today’s rapidly advancing world of artificial intelligence.
Prof. DAI Jiansheng, Chair Professor at King’s College London, United Kingdom, Dean of Institute of Robotics, South University of Science and Technology (SUSTech), China and Chair Professor at SUSTech–KCL Joint School, shared the latest developments in robotics at the PAIR Distinguished Lecture titled “Embedded Intelligence in Robotics” on 15 September 2025. The lecture attracted over 140 in-person participants and an online audience of more than 14,900 via various social media platforms.
At the beginning of his presentation, Prof. Dai introduced how his team has eliminated the need for adding components or dismantling structures, instead directly incorporating metamorphosis into robot design. This has led to a disruptive transformation in robotic structures, fundamentally altering traditional design approaches. Drawing inspiration from biological metamorphosis in nature and the art of origami, and combining geometry, mechanics, mathematics and kinematics, he explained how the design of shape-shifting robots is evolving towards multi-modal, multi-structural, multi-topological, and multi-degree-of-freedom structures. This is to keep pace with the rapid advancement of artificial intelligence and to enhance robots’ adaptability to their operating environments and challenging tasks.
Prof. Dai pointed out that metamorphosis has expanded the possibilities for robotic structural design, leading to innovative metamorphic outcomes such as novel legged robots, dexterous hands, solar arrays, metamaterials and flexible electronics. He further noted that today’s robots combine both rigid and flexible characteristics, offering compliance and safety, and are distinguished by elastic mechanism dynamics, novel variable-stiffness mechanisms and highly integrated perception-driven systems. In the future, robots will focus on morphological innovation and intrinsic safety, incorporating new materials, soft or continuum structures, metamorphic and biomimetic features. This signals that, over the next decade, robotics will move into a new technological era characterised by bio-integration, living entities, high-performance living systems and hybrid life systems. In summary, the key to the future development of robotics lies in continuous transformation and innovation.
Following the presentation was a lively question-and-answer session moderated by Prof. ZHANG Dan, Chair Professor of Intelligent Robotics and Automation in the Department of Mechanical Engineering. The audience engaged in a productive discussion with Prof. Dai.
Event date: 15/9/2025
Speaker: Prof. DAI Jiansheng
Hosted by: PolyU Academy for Interdisciplinary
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Video
Virtual reality (VR) provides an immersive and interactive setting for language learning, allowing learners to practise various aspects of language in context-rich, naturalistic environments. Unlike traditional book-based methods, VR-based language training is expected to engage a broader network of brain regions by integrating sensory, motor, and cognitive processes. This raises important questions in the field of experience-dependent brain plasticity—specifically, whether immersive learning leads to more widespread or qualitatively different neural changes compared to more focal learning approaches. The talk will open with an overview of short- and long-term brain plasticity, setting the stage for understanding how the brain adapts during language learning. It will then present key findings from research on virtual reality-based language training, highlighting its potential to enhance learning through immersive experiences. Finally, the talk will share preliminary results from ongoing studies on single-session Mandarin learning in VR, along with the recent development of an interactive language puzzle game aimed at exploring cognitive engagement and neural activation in virtual environments.
Event date: 12/9/2025
Speaker: Prof. Johan MÅRTENSSON
Hosted by: Faculty of Humanities
- Subjects:
- Language and Languages
- Keywords:
- Language acquisition Cognitive neuroscience Virtual reality in education
- Resource Type:
- Video
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Video
No individual looms larger in historical accounts of 19th century China than Imperial Commissioner LIN Zexu. Yet, his legacy remains mixed. Most historical accounts characterize LIN’s attempt to end the illicit opium trade as ill-conceived, conservative, and ultimately resulting in his ignominious exile to a remote corner of the empire. In this talk, Prof. ATWILL focuses on LIN’s post-Opium War career to upend traditional accounts of the Opium War and to allow us to see with new eyes how Qing China faced global challenges in a rapidly changing world.
Event date: 29/9/2025
Speaker: Prof. David G. ATWILL
Hosted by: Faculty of Humanities
- Subjects:
- Chinese Studies
- Keywords:
- China Lin Zexu 1785-1850 Statesmen
- Resource Type:
- Video
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Video
In the last two decades the contribution of neuroscience to bilingualism, in terms of discovering the neural architecture, has been enormous. Up-to-date we know how bi- and multilinguals store their languages, how and where they are represented in the human brain and how bilinguals control their languages in order to avoid unwanted language interferences during speech. Old myths that distinct languages are differently stored in the brain have been completed confuted. Neuroscientific studies have also highlighted neural differences between bilinguals and monolinguals for several cognitive functions, even for those circumstances where no behavioral differences exist. Neuroimaging studies have further shown different neural aging trajectories for bilinguals when compared to monolinguals underlining that the bilingual brain may be better protected against aging effects and cognitive decline.
During my presentation, I will provide a brief overview of the state of the art and then illustrate and discuss new research lines such as studying the foreign language effect, the effects of sleep and bilingualism on general cognition, the effects of linguistic distance on the bilingual brain and the importance of study the bilingual connectome. Lastly, we will discuss how to focus on individual differences in bilingualism research and heritage language speakers.
Event date: 8/10/2025
Speaker: Prof. Jubin ABUTALEBI
Hosted by: Faculty of Humanities
- Subjects:
- Language and Languages
- Keywords:
- Neurolinguistics Cognitive neuroscience Bilingualism -- Psychological aspects
- Resource Type:
- Video


