Is AI Changing the Rules of Academic Misconduct? An In-depth Look at Students' Perceptions of 'AI-giarism'

no code implementations • 6 Jun 2023 • Cecilia Ka Yuk Chan

This pioneering study explores students' perceptions of AI-giarism, an emergent form of academic dishonesty involving AI and plagiarism, within the higher education context.

The AI generation gap: Are Gen Z students more interested in adopting generative AI such as ChatGPT in teaching and learning than their Gen X and Millennial Generation teachers?

no code implementations • 4 May 2023 • Cecilia Ka Yuk Chan, Katherine K. W. Lee

Gen X and Gen Y teachers acknowledged the potential benefits of GenAI but expressed heightened concerns about overreliance, ethical and pedagogical implications, emphasizing the need for proper guidelines and policies to ensure responsible use of the technology.

Deconstructing Student Perceptions of Generative AI (GenAI) through an Expectancy Value Theory (EVT)-based Instrument

no code implementations • 2 May 2023 • Cecilia Ka Yuk Chan, WenXin Zhou

The results indicate a strong positive correlation between perceived value and intention to use generative AI, and a weak negative correlation between perceived cost and intention to use.

Students' Voices on Generative AI: Perceptions, Benefits, and Challenges in Higher Education

no code implementations • 29 Apr 2023 • Cecilia Ka Yuk Chan, Wenjie Hu

This study explores university students' perceptions of generative AI (GenAI) technologies, such as ChatGPT, in higher education, focusing on familiarity, their willingness to engage, potential benefits and challenges, and effective integration.

A Comprehensive AI Policy Education Framework for University Teaching and Learning

no code implementations • 29 Apr 2023 • Cecilia Ka Yuk Chan

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.