The study titled “A comprehensive AI policy education framework for university teaching and learning” aims to develop an AI education policy for higher education by examining the perceptions and implications of text-generative AI technologies. The research collected data from 457 students and 180 teachers and staff across various disciplines in Hong Kong universities, using both quantitative and qualitative research methods. Based on the findings, the study proposes an AI Ecological Education Policy Framework to address the multifaceted implications of AI integration in university teaching and learning. This framework is organized into three dimensions: Pedagogical, Governance, and Operational. The Pedagogical dimension focuses on using AI to improve teaching and learning outcomes, while the Governance dimension tackles issues related to privacy, security, and accountability. The Operational dimension addresses matters concerning infrastructure and training.
The framework fosters a nuanced understanding of the implications of AI integration in academic settings, ensuring that stakeholders are aware of their responsibilities and can take appropriate actions accordingly. The study highlights the importance of students playing an active role in drafting and implementing the policy. The research also addresses the growing concern in academic settings about the use of text-generative artificial intelligence (AI), such as ChatGPT, Bing, and the latest, Co-Pilot, integrated within the Microsoft Office suite. The study found that nearly one in three students had used a form of AI, such as essay-generating software, to complete their coursework. This has led to calls for stricter regulations and penalties for academic misconduct involving AI. Read the full study here.