Yun Dai
Biographic Data
| ID | 4436655 |
|---|---|
| NAME | Yun Dai |
| GIVEN NAMES | Yun |
| FAMILY NAME | Dai |
| SIGNATURE | DAI Y |
| AFFILIATIONS | Chinese University of Hong Kong |
| ORCID | 0000-0002-1199-9855 |
| VERIFIED | Yes |
| TOTAL WORKS | 15 |
| TOTAL CITATIONS | 3 |
| AUTHOR COUNT | 15 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
AI literacy interventions in education: A meta-analysis of effects and moderators
Prevalence and influencing factors of functional constipation in Chinese children and adolescents: A systematic review and meta-analysis
Objective: In recent years, the incidence of functional constipation in children and adolescents has been increasing annually, seriously affecting their physical and mental development and quality of life, and placing a significant burden on society and families. This study aims to conduct a systematic review and meta-analysis to explore the prevalence and influencing factors of functional constipation among children and adolescents in China, pro…
Students as AI literate designers: A pedagogical framework for learning and teaching AI literacy in elementary education
Although introducing AI education into K-12 schools has attracted significant interest from educators and researchers, research into effective strategies for enhancing elementary students’ AI literacy remains in its infancy. Grounded in design-based learning, we propose a pedagogical framework, “Students as AI literate designers” (SAILD), to facilitate young learners’ acquisition of AI literacy by designing solutions for real-world problem-solvin…
Redefining and measuring student agency in AI-assisted learning: Development and validation of the agentic engagement with AI (AE-AI) scale
Student agency has become a central concern in learning with AI. With growing capability and adaptiveness, GenAI tools are no longer merely passive tools but responsive participants in learning. This shift makes agency relational and reciprocal: students exercise agency through intentional engagement with AI, while AI responses shape how students express, adjust, and develop that agency. Existing instruments, however, continue to frame agency as …
Development and validation of a scenario-based multiple-choice test of AI ethical competence (Aiec) using item response theory
Artificial intelligence (AI) ethics has emerged as a global focus in K-12 education, with a shared goal of nurturing informed and responsible citizens in AI-infused societies. However, existing instruments of students’ ethical development often rely on self-reported tools, with few objective tests. This study addresses this gap by developing and validating a scenario-based multiple-choice test for introductory AI ethics education among early adol…
Children's Conceptions of AI , Ethics and Intelligence in China: Evidence from Drawing and Ranking Activities
As artificial intelligence (AI) becomes increasingly embedded in the daily lives of young learners, there is growing interest in exploring how they conceptualize AI prior to formal instruction. This qualitative study investigates the pre‐instructional conceptions of key AI concepts held by upper elementary students ( n = 75), focusing on five aspects: AI representation, functionality, working mechanisms, ethical considerations and the concept of …
Pressure-driven or resource-driven: Configurational pathways and evolution for the government environmental information disclosure
The government environmental information disclosure (GEID) is a policy innovation designed to enhance transparency and public participation in environmental governance. Previous studies have focused on its positive effects on environmental governance but have overlooked the analysis of factors influencing the implementation of GEID. GEID is a form of digital public service within the context of bureaucracy and public participation. Drawing upon i…
The impacts and tensions of generative AI on doctoral students’ supervisory and peer dynamics: An activity theory analysis
Doctoral students are increasingly adopting generative artificial intelligence (GenAI) tools in their daily academic activities. However, it remains unclear how GenAI influences doctoral training, particularly in terms of supervisory and peer interactions within PhD programmes. This qualitative study investigated the impact of GenAI adoption on doctoral students’ interactions with supervisors and peers within their immediate academic environments…
Overconfidence and Endogenous Contract Incompleteness
We set up a model on the hold-up problem with uncertain bargaining power and find that, when two agents are overconfident about their bargaining power ex ante, both of them may endogenously choose incomplete contract over complete contract even when complete contracting is feasible. The intuition behind the result is that ceteris paribus, overconfidence leads to a higher expected return to relationspecific investment and a higher investment level…
An embodied, analogical and disruptive approach of AI pedagogy in upper elementary education: An experimental study
While AI has become more prevalent in our society than ever, many young learners are found holding various naive, erroneous conceptions of AI due to the influence of their technology and media environments. To address this issue, this study seeks to propose a novel pedagogical solution to improve upper‐elementary school students' scientific understanding of AI. Following a theory‐informed design convention, we propose an embodied, analogical and …
Prospective Mathematics Teachers’ Hiccups and Professional Noticing During Technology-Rich Teaching and Learning
University policies on generative AI in Asia: Promising Practices, Gaps, and Future Directions
Considering the opportunities and challenges raised by generative AI (GenAI) technologies, many universities have been developing policies to guide the integration of GenAI in their academic community. Focusing on Asian universities, this paper presents a scoping review of policy development regarding the GenAI integration. Guided by the theoretical framework of technology integration, this study examined the GenAI policies of 30 universities fro…
Trade liberalisation and trade and capital flows: Evidence from China pilot free trade zones
China established several Pilot Free Trade Zones (PFTZs) in recent years as a major step to deepen trade liberalisation. In this paper, we investigate the impact of free trade zones (FTZs) on the economy's capital flow, imports and exports, as well as the underlying mechanisms. We consider the newly established FTZs as a natural experiment and construct a difference‐in‐difference (DID) model with the staggered establishment dates of the FTZs. Our…
ChatGPT and its impact on research supervision: Insights from Australian postgraduate research students
As artificial intelligence (AI) continues to evolve, its impact on academic environments, especially in postgraduate research supervision, becomes increasingly significant. This study explored the impact of ChatGPT, an advanced AI conversational model, on five dimensions of research supervision: functional, enculturation, critical thinking, emancipation and relationship development. Using a qualitative approach, we examined the practices and pers…
A self-determination theory (SDT) design approach for inclusive and diverse artificial intelligence (AI) education
University policies on generative AI in Asia: Promising Practices, Gaps, and Future Directions
Considering the opportunities and challenges raised by generative AI (GenAI) technologies, many universities have been developing policies to guide the integration of GenAI in their academic community. Focusing on Asian universities, this paper presents a scoping review of policy development regarding the GenAI integration. Guided by the theoretical framework of technology integration, this study examined the GenAI policies of 30 universities fro…
A self-determination theory (SDT) design approach for inclusive and diverse artificial intelligence (AI) education
Trade liberalisation and trade and capital flows: Evidence from China pilot free trade zones
China established several Pilot Free Trade Zones (PFTZs) in recent years as a major step to deepen trade liberalisation. In this paper, we investigate the impact of free trade zones (FTZs) on the economy's capital flow, imports and exports, as well as the underlying mechanisms. We consider the newly established FTZs as a natural experiment and construct a difference‐in‐difference (DID) model with the staggered establishment dates of the FTZs. Our…
ChatGPT and its impact on research supervision: Insights from Australian postgraduate research students
As artificial intelligence (AI) continues to evolve, its impact on academic environments, especially in postgraduate research supervision, becomes increasingly significant. This study explored the impact of ChatGPT, an advanced AI conversational model, on five dimensions of research supervision: functional, enculturation, critical thinking, emancipation and relationship development. Using a qualitative approach, we examined the practices and pers…
Overconfidence and Endogenous Contract Incompleteness
We set up a model on the hold-up problem with uncertain bargaining power and find that, when two agents are overconfident about their bargaining power ex ante, both of them may endogenously choose incomplete contract over complete contract even when complete contracting is feasible. The intuition behind the result is that ceteris paribus, overconfidence leads to a higher expected return to relationspecific investment and a higher investment level…
An embodied, analogical and disruptive approach of AI pedagogy in upper elementary education: An experimental study
While AI has become more prevalent in our society than ever, many young learners are found holding various naive, erroneous conceptions of AI due to the influence of their technology and media environments. To address this issue, this study seeks to propose a novel pedagogical solution to improve upper‐elementary school students' scientific understanding of AI. Following a theory‐informed design convention, we propose an embodied, analogical and …
Prospective Mathematics Teachers’ Hiccups and Professional Noticing During Technology-Rich Teaching and Learning
University policies on generative AI in Asia: Promising Practices, Gaps, and Future Directions
Considering the opportunities and challenges raised by generative AI (GenAI) technologies, many universities have been developing policies to guide the integration of GenAI in their academic community. Focusing on Asian universities, this paper presents a scoping review of policy development regarding the GenAI integration. Guided by the theoretical framework of technology integration, this study examined the GenAI policies of 30 universities fro…
The impacts and tensions of generative AI on doctoral students’ supervisory and peer dynamics: An activity theory analysis
Doctoral students are increasingly adopting generative artificial intelligence (GenAI) tools in their daily academic activities. However, it remains unclear how GenAI influences doctoral training, particularly in terms of supervisory and peer interactions within PhD programmes. This qualitative study investigated the impact of GenAI adoption on doctoral students’ interactions with supervisors and peers within their immediate academic environments…
AI literacy interventions in education: A meta-analysis of effects and moderators
Prevalence and influencing factors of functional constipation in Chinese children and adolescents: A systematic review and meta-analysis
Objective: In recent years, the incidence of functional constipation in children and adolescents has been increasing annually, seriously affecting their physical and mental development and quality of life, and placing a significant burden on society and families. This study aims to conduct a systematic review and meta-analysis to explore the prevalence and influencing factors of functional constipation among children and adolescents in China, pro…
Students as AI literate designers: A pedagogical framework for learning and teaching AI literacy in elementary education
Although introducing AI education into K-12 schools has attracted significant interest from educators and researchers, research into effective strategies for enhancing elementary students’ AI literacy remains in its infancy. Grounded in design-based learning, we propose a pedagogical framework, “Students as AI literate designers” (SAILD), to facilitate young learners’ acquisition of AI literacy by designing solutions for real-world problem-solvin…
Redefining and measuring student agency in AI-assisted learning: Development and validation of the agentic engagement with AI (AE-AI) scale
Student agency has become a central concern in learning with AI. With growing capability and adaptiveness, GenAI tools are no longer merely passive tools but responsive participants in learning. This shift makes agency relational and reciprocal: students exercise agency through intentional engagement with AI, while AI responses shape how students express, adjust, and develop that agency. Existing instruments, however, continue to frame agency as …
Development and validation of a scenario-based multiple-choice test of AI ethical competence (Aiec) using item response theory
Artificial intelligence (AI) ethics has emerged as a global focus in K-12 education, with a shared goal of nurturing informed and responsible citizens in AI-infused societies. However, existing instruments of students’ ethical development often rely on self-reported tools, with few objective tests. This study addresses this gap by developing and validating a scenario-based multiple-choice test for introductory AI ethics education among early adol…
Children's Conceptions of AI , Ethics and Intelligence in China: Evidence from Drawing and Ranking Activities
As artificial intelligence (AI) becomes increasingly embedded in the daily lives of young learners, there is growing interest in exploring how they conceptualize AI prior to formal instruction. This qualitative study investigates the pre‐instructional conceptions of key AI concepts held by upper elementary students ( n = 75), focusing on five aspects: AI representation, functionality, working mechanisms, ethical considerations and the concept of …
Pressure-driven or resource-driven: Configurational pathways and evolution for the government environmental information disclosure
The government environmental information disclosure (GEID) is a policy innovation designed to enhance transparency and public participation in environmental governance. Previous studies have focused on its positive effects on environmental governance but have overlooked the analysis of factors influencing the implementation of GEID. GEID is a form of digital public service within the context of bureaucracy and public participation. Drawing upon i…
Artificial Intelligence in Healthcare and Education (5 works) · Computer Science (5 works) · Psychology (5 works) · Pedagogy (4 works) · Mathematics education (3 works) · Online Learning and Analytics (3 works) · Artificial Intelligence (2 works) · Autonomy (2 works) · Business (2 works) · Doctoral Education Challenges and Solutions (2 works)