Patrick Cheong‐Iao Pang
Biographic Data
| ID | 6628857 |
|---|---|
| NAME | Patrick Cheong‐Iao Pang |
| GIVEN NAMES | Patrick Cheong‐Iao |
| FAMILY NAME | Pang |
| SIGNATURE | PANG P C I |
| AFFILIATIONS | Macao Polytechnic University |
| ORCID | 0000-0002-8820-5443 |
| VERIFIED | Yes |
| TOTAL WORKS | 16 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 16 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
University Social Responsibility (USR) programs and the transformation of Taiwan's higher education
Since the lifting of martial law in 1987, Taiwan has witnessed a growing emphasis on higher education institutions (HEIs) as key agents of social development.In response to government-mandated University Social Responsibility (USR) policies, HEIs are now required to integrate social responsibility into their institutional missions and to demonstrate tangible outcomes, including contributions to local communities, sustainable development, and soci…
STEM and intergenerational learning between older adults and young children in Taiwan
Fast-changing contexts (such as aging populations, migration, and environmental crises), international policy, and interdisciplinary research all suggest intergenerational education is in a new and exciting "place" (Mannion, 2018). In Taiwan, the aging of the population is accompanied by a declining birthrate, which challenges Taiwanese society, economy, medical care, and families. These transformations call for innovative educational practices t…
To Use but Not to Depend
The integration of Generative Artificial Intelligence (GenAI) into higher education represents a paradigm shift from static skill acquisition to dynamic, human–AI collaboration. However, the psychological mechanisms governing students’ adoption—specifically the interplay between pedagogical novelty, ethical awareness, and habit formation—remain underexplored. To address this, this study develops and implements a dynamic practical curriculum incor…
Inquiry-based learning patterns in large language model-driven learning environments
Inquiry-based learning (IBL) is a problem-driven and exploration-centred learning method. The emergence of large language models (LLMs) such as ChatGPT provides a new interactive environment for IBL. However, research has not sufficiently explored how students interact with LLMs for IBL. This study aimed to understand students’ behaviours interacting with LLM at different cognitive levels during the IBL process. We conducted an experiment on a da…
Deep learning in cultural imagery dissemination
Background In an era of rapid media technology and AI advancement, deep learning (DL)-driven visual images (VI) is emerging as a critical mode of cultural transmission (CT). Despite the growing application of DL in the VI domain, there is a lack of a systematic review that comprehensively explores its transmission pathways, mechanisms of influence, and associated challenges. This study aims to systematically explore the pathways and impacts of DL…
Digital technologies-enhanced older adults health management
Background: Against intensifying global aging, digital technologies are pivotal in supporting older adults' health management. However, older adults often encounter significant barriers within social learning environments. Bandura's Social Learning Theory (SLT) offers a valuable framework for enhancing older adults' capacity to utilize digital technologies in health management within social settings. This study extends SLT by developing a novel c…
Factors Influencing the Reported Intention of Higher Vocational Computer Science Students in China to Use AI After Ethical Training
This paper reports a study conducting an in-depth analysis of the impacts of ethical training on the adoption of AI tools among computer science students in higher vocational colleges. These students will serve as the pivotal human factor for advancing the field of AI. Aiming to explore practical models for integrating AI ethics into computer science education, the research seeks to promote more responsible and effective AI application and theref…
Exploring the Impact of Information and Communication Technology on Educational Administration
In the era of educational digital transformation, integrating information and communication technology (ICT) into school administration aligns with the goals of promoting personalized learning, equity, and teaching quality. This study examines how ICT reshapes management practices, addresses challenges, and achieves educational objectives. To explore ICT’s impact on school administration (2009–2024), we conducted a systematic scoping review of fo…
Humanism strikes back? A posthumanist reckoning with ‘self-development’ and generative AI
Since the release of OpenAI's ChatGPT in 2022, AI activity has reached a fever pitch. Calls for effective ethical responses to the pressurised AI environment have in turn abounded. Posthumanism, which seeks to build ethical futures by de-centring the ‘human’, is an obvious candidate to act as a lynchpin of theoretical intervention. In their responses, posthumanist scholars appear to have embraced AI’s potential to destabilise Humanist philosophic…
Latent obstacles in older adults’ digital health participation
The intensification of global aging has made older adults’ health issues increasingly prominent. Although digital health tools play a crucial role in aging societies, older adults still face multi-dimensional potential obstacles that restrict their effective participation. Natural Language Processing (NLP) can efficiently analyze the data of older adults’ feedback in digital health to uncover hidden patterns. Therefore, this study constructs a co…
Public health education using social learning theory
PHE research based on SLT can be prioritized for preventing widespread infectious diseases, spreading fundamental public health information, and assisting patients with particular illnesses. To enhance the implementation of PHE, researchers and policymakers should integrate online and offline health education resources, ensure the accessibility of up-to-date information, and leverage digital technologies in PHE. More highly interactive and partic…
The impacts of tobacco control legislation on public view of e-cigarette usage in Macao—The co-word analysis of Macao daily
Introduction Macao has been certified as a “Healthy City” by the World Health Organization, and has been adhering to the principle of combining prevention with proper medical care to build its medical system. As tobacco epidemic is a risk factor leading to a series of non-communicable diseases, the Macao SAR Government has continuously improved tobacco control measures. Methods The data for this study were derived from a news report on “e-cigaret…
Social Media Engagement in Two Governmental Schemes during the Covid-19 Pandemic in Macao
Social media engagement is a vehicle for effective communication and engagement between governments and individuals, especially in crises such as the COVID-19 pandemic. Additionally, it can be used to communicate resilience measures and receive feedback. This research aims to investigate public social media engagement with resilience measures related to COVID-19 in Macao. We examined 1107 posts and 791 comments about the government's face mask su…
Changes in Doctor–Patient Relationships in China during Covid-19
Doctor-patient relationships (DPRs) in China have been straining. With the emergence of the COVID-19 pandemic, the relationships and interactions between patients and doctors are changing. This study investigated how patients' attitudes toward physicians changed during the pandemic and what factors were associated with these changes, leading to insights for improving management in the healthcare sector. This paper collected 58,600 comments regard…
Engagement of Government Social Media on Facebook during the Covid-19 Pandemic in Macao
Government social media is widely used for providing updates to and engaging with the public in the COVID-19 pandemic. While Facebook is one of the popular social media used by governments, there is only a scant of research on this platform. This paper aims to understand how government social media should be used and how its engagement changes in prodromal, acute and chronic stages of the pandemic. We collected 1664 posts and 10,805 comments from…
Roles of information propagation of Chinese microblogging users in epidemics
Purpose The purpose of this research is to investigate the usage characteristics and the information propagation patterns of Chinese microblogs in different stages of an epidemic, given that the microblogging in China is different from other parts of the world. In addition, the authors aim to conceptualize the roles of different users and provide insights for using microblogging platforms to disseminate information in this context. Design/methodo…
No prominent works on this page.
Roles of information propagation of Chinese microblogging users in epidemics
Purpose The purpose of this research is to investigate the usage characteristics and the information propagation patterns of Chinese microblogs in different stages of an epidemic, given that the microblogging in China is different from other parts of the world. In addition, the authors aim to conceptualize the roles of different users and provide insights for using microblogging platforms to disseminate information in this context. Design/methodo…
Engagement of Government Social Media on Facebook during the Covid-19 Pandemic in Macao
Government social media is widely used for providing updates to and engaging with the public in the COVID-19 pandemic. While Facebook is one of the popular social media used by governments, there is only a scant of research on this platform. This paper aims to understand how government social media should be used and how its engagement changes in prodromal, acute and chronic stages of the pandemic. We collected 1664 posts and 10,805 comments from…
Social Media Engagement in Two Governmental Schemes during the Covid-19 Pandemic in Macao
Social media engagement is a vehicle for effective communication and engagement between governments and individuals, especially in crises such as the COVID-19 pandemic. Additionally, it can be used to communicate resilience measures and receive feedback. This research aims to investigate public social media engagement with resilience measures related to COVID-19 in Macao. We examined 1107 posts and 791 comments about the government's face mask su…
Changes in Doctor–Patient Relationships in China during Covid-19
Doctor-patient relationships (DPRs) in China have been straining. With the emergence of the COVID-19 pandemic, the relationships and interactions between patients and doctors are changing. This study investigated how patients' attitudes toward physicians changed during the pandemic and what factors were associated with these changes, leading to insights for improving management in the healthcare sector. This paper collected 58,600 comments regard…
The impacts of tobacco control legislation on public view of e-cigarette usage in Macao—The co-word analysis of Macao daily
Introduction Macao has been certified as a “Healthy City” by the World Health Organization, and has been adhering to the principle of combining prevention with proper medical care to build its medical system. As tobacco epidemic is a risk factor leading to a series of non-communicable diseases, the Macao SAR Government has continuously improved tobacco control measures. Methods The data for this study were derived from a news report on “e-cigaret…
Public health education using social learning theory
PHE research based on SLT can be prioritized for preventing widespread infectious diseases, spreading fundamental public health information, and assisting patients with particular illnesses. To enhance the implementation of PHE, researchers and policymakers should integrate online and offline health education resources, ensure the accessibility of up-to-date information, and leverage digital technologies in PHE. More highly interactive and partic…
Deep learning in cultural imagery dissemination
Background In an era of rapid media technology and AI advancement, deep learning (DL)-driven visual images (VI) is emerging as a critical mode of cultural transmission (CT). Despite the growing application of DL in the VI domain, there is a lack of a systematic review that comprehensively explores its transmission pathways, mechanisms of influence, and associated challenges. This study aims to systematically explore the pathways and impacts of DL…
Digital technologies-enhanced older adults health management
Background: Against intensifying global aging, digital technologies are pivotal in supporting older adults' health management. However, older adults often encounter significant barriers within social learning environments. Bandura's Social Learning Theory (SLT) offers a valuable framework for enhancing older adults' capacity to utilize digital technologies in health management within social settings. This study extends SLT by developing a novel c…
Factors Influencing the Reported Intention of Higher Vocational Computer Science Students in China to Use AI After Ethical Training
This paper reports a study conducting an in-depth analysis of the impacts of ethical training on the adoption of AI tools among computer science students in higher vocational colleges. These students will serve as the pivotal human factor for advancing the field of AI. Aiming to explore practical models for integrating AI ethics into computer science education, the research seeks to promote more responsible and effective AI application and theref…
Exploring the Impact of Information and Communication Technology on Educational Administration
In the era of educational digital transformation, integrating information and communication technology (ICT) into school administration aligns with the goals of promoting personalized learning, equity, and teaching quality. This study examines how ICT reshapes management practices, addresses challenges, and achieves educational objectives. To explore ICT’s impact on school administration (2009–2024), we conducted a systematic scoping review of fo…
Humanism strikes back? A posthumanist reckoning with ‘self-development’ and generative AI
Since the release of OpenAI's ChatGPT in 2022, AI activity has reached a fever pitch. Calls for effective ethical responses to the pressurised AI environment have in turn abounded. Posthumanism, which seeks to build ethical futures by de-centring the ‘human’, is an obvious candidate to act as a lynchpin of theoretical intervention. In their responses, posthumanist scholars appear to have embraced AI’s potential to destabilise Humanist philosophic…
Latent obstacles in older adults’ digital health participation
The intensification of global aging has made older adults’ health issues increasingly prominent. Although digital health tools play a crucial role in aging societies, older adults still face multi-dimensional potential obstacles that restrict their effective participation. Natural Language Processing (NLP) can efficiently analyze the data of older adults’ feedback in digital health to uncover hidden patterns. Therefore, this study constructs a co…
University Social Responsibility (USR) programs and the transformation of Taiwan's higher education
Since the lifting of martial law in 1987, Taiwan has witnessed a growing emphasis on higher education institutions (HEIs) as key agents of social development.In response to government-mandated University Social Responsibility (USR) policies, HEIs are now required to integrate social responsibility into their institutional missions and to demonstrate tangible outcomes, including contributions to local communities, sustainable development, and soci…
STEM and intergenerational learning between older adults and young children in Taiwan
Fast-changing contexts (such as aging populations, migration, and environmental crises), international policy, and interdisciplinary research all suggest intergenerational education is in a new and exciting "place" (Mannion, 2018). In Taiwan, the aging of the population is accompanied by a declining birthrate, which challenges Taiwanese society, economy, medical care, and families. These transformations call for innovative educational practices t…
To Use but Not to Depend
The integration of Generative Artificial Intelligence (GenAI) into higher education represents a paradigm shift from static skill acquisition to dynamic, human–AI collaboration. However, the psychological mechanisms governing students’ adoption—specifically the interplay between pedagogical novelty, ethical awareness, and habit formation—remain underexplored. To address this, this study develops and implements a dynamic practical curriculum incor…
Inquiry-based learning patterns in large language model-driven learning environments
Inquiry-based learning (IBL) is a problem-driven and exploration-centred learning method. The emergence of large language models (LLMs) such as ChatGPT provides a new interactive environment for IBL. However, research has not sufficiently explored how students interact with LLMs for IBL. This study aimed to understand students’ behaviours interacting with LLM at different cognitive levels during the IBL process. We conducted an experiment on a da…
Medicine (6 works) · Computer Science (5 works) · Political science (5 works) · Psychology (5 works) · AI in Service Interactions (4 works) · Public health (4 works) · Public Relations and Crisis Communication (4 works) · Social media (4 works) · Business (3 works) · Coronavirus disease 2019 (COVID-19 (3 works)