30 citations · 71 across the 6 of their papers we have counts for
7 papers
From Access to Realized Affordances: University Students' Generative AI Engagement across Linguistic and Sociotechnical Contexts
Ming Li, Qin Xie, Ariunaa Enkhtur +2
Generative artificial intelligence (GenAI) is increasingly embedded in university students' academic work, yet student engagement is often examined through adoption, frequency of u…
Between Regulation and Accessibility: How Chinese University Students Navigate Global and Domestic Generative AI
Qin Xie, Ming Li, Fei Cheng
Despite the rapid proliferation of generative AI in higher education, students in China face significant barriers in accessing global tools like ChatGPT due to regulations and cons…
A Framework for Developing University Policies on Generative AI Governance: A Cross-national Comparative Study
Ming Li, Qin Xie, Ariunaa Enkhtur +5
As generative AI (GAI) becomes increasingly embedded in higher education, universities worldwide are developing policies to govern its ethical, pedagogical, and institutional use.…
Exploring Generative AI Policies in Higher Education: A Comparative Perspective from China, Japan, Mongolia, and the USA
Qin Xie, Ming Li, Ariunaa Enkhtur
This study conducts a comparative analysis of national policies on Generative AI across four countries: China, Japan, Mongolia, and the USA. Employing the Qualitative Comparative A…
Potential Societal Biases of ChatGPT in Higher Education: A Scoping Review
Ming Li, Ariunaa Enkhtur, Beverley Anne Yamamoto +2
Purpose:Generative Artificial Intelligence (GAI) models, such as ChatGPT, may inherit or amplify societal biases due to their training on extensive datasets. With the increasing us…
Ethical Implications of ChatGPT in Higher Education: A Scoping Review
Ming Li, Ariunaa Enkhtur, Fei Cheng +1
This scoping review explores the ethical challenges of using ChatGPT in higher education. By reviewing recent academic articles in English, Chinese, and Japanese, we aimed to provi…
Language-Specific Representation of Emotion-Concept Knowledge Causally Supports Emotion Inference
Ming Li, Yusheng Su, Hsiu-Yuan Huang +9
Humans no doubt use language to communicate about their emotional experiences, but does language in turn help humans understand emotions, or is language just a vehicle of communica…