Cecilia Ka Yuk Chan
A comprehensive AI policy education framework for university teaching and learning
University of Hong Kong
abstract study aims develop ai education policy higher education examining perceptions implications text generative ai technologies data collected 457 students 180 teachers staff across various disciplines hong kong universities using quantitative qualitative research methods based findings study proposes ai ecological education policy framework address multifaceted implications ai integration university teaching learning framework organized three dimensions pedagogical governance operational pedagogical dimension concentrates using ai improve teaching learning outcomes governance dimension tackles issues related privacy security accountability operational dimension addresses matters concerning infrastructure training framework fosters nuanced understanding implications ai integration academic settings ensuring stakeholders aware responsibilities take appropriate actions accordingly