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Tao Fu; Yonghan Ji – SAGE Open, 2024
Using the Triple Helix model, this study explores the government-university relationship in the context of China's AI talent development, and their outcomes in terms of AI program deployment, enrollment and faculty. Their interaction may best be summarized as a model of government pull and university response, but with more support and autonomy…
Descriptors: Government Role, Universities, Artificial Intelligence, Talent Development
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Ching Sing Chai; Ding Yu; Ronnel B. King; Ying Zhou – SAGE Open, 2024
As artificial intelligence (AI) permeates almost all aspects of our lives, university students need to acquire relevant knowledge, skills, and attitudes to adapt to the challenges it poses. This study reports the development and validation of a scale called the Artificial Intelligence Learning Intention Scale (AILIS). AILIS was designed to measure…
Descriptors: Artificial Intelligence, Intention, Measures (Individuals), Development
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Xu Wang – International Journal of Sustainability in Higher Education, 2024
Purpose: The global COVID-19 epidemic has posed significant challenges to the development of innovation and entrepreneurship education in Chinese and foreign universities, and the application of artificial intelligence generated content (AIGC) technology has presented both opportunities and challenges to its development. The purpose of this study…
Descriptors: Innovation, Entrepreneurship, Business Administration Education, Universities
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Li, Jiansheng; Li, Linlin; Zhu, Zhixin; Shadiev, Rustam – Education and Information Technologies, 2023
A discussion forum is an indispensable part of a massive open online course (MOOC) environment as it enables knowledge construction through learner-to-learner interaction such as discussion of solutions to assigned problems among learners. In this paper, a machine prediction model is built based on the data from the MOOC forum and the depth of…
Descriptors: MOOCs, Discussion, Prediction, Models
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Peter Bannister; Elena Alcalde Peñalver; Alexandra Santamaría Urbieta – Journal for Multicultural Education, 2024
Purpose: This purpose of this paper is to report on the development of an evidence-informed framework created to facilitate the formulation of generative artificial intelligence (GenAI) academic integrity policy responses for English medium instruction (EMI) higher education, responding to both the bespoke challenges for the sector and…
Descriptors: Language of Instruction, English (Second Language), Second Language Learning, Integrity
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Hui Meng; Li Ma; Lei Su; Bei Lu; Di Hou; Xiaowei Du – International Journal of Web-Based Learning and Teaching Technologies, 2024
Intangible cultural heritage is an important part of Chinese excellent traditional culture, and college dance teaching is paid more attention by researchers of physical education and computer technology. In order to help the inheritance and development of non-legacy culture in college dance teaching, this paper analyzes the influencing factors of…
Descriptors: Dance Education, Cultural Background, Telecommunications, Computer Networks
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Deliang Wang; Yaqian Zheng; Gaowei Chen – Educational Technology & Society, 2024
This study investigates the potential of ChatGPT, a cutting-edge large language model in generative artificial intelligence (AI), to support the teaching of dialogic pedagogy to preservice teachers. A workshop was conducted with 29 preservice teachers, wherein ChatGPT and another prominent AI model, Bert, were sequentially integrated to facilitate…
Descriptors: Artificial Intelligence, Preservice Teachers, Models, Teaching Methods