Is AI Changing the Rules of Academic Misconduct? An In-depth Look at Students' Perceptions of 'AI-giarism'
Project Overview
The document examines the role of generative AI in education, particularly focusing on students' perceptions of 'AI-giarism,' a term that encapsulates the intersection of artificial intelligence and plagiarism. It reveals a complex understanding among students regarding AI-generated content and its implications for academic integrity, with a prevailing disapproval of outright AI content generation, yet a more nuanced acceptance of its subtler applications. The findings suggest that while students are wary of direct use of AI tools for generating academic work, they recognize potential benefits in more integrative uses of AI for learning. In response to these challenges, the study advocates for educators to adopt a new framework to address academic misconduct in the context of AI advancements, encouraging a reassessment of traditional definitions of academic dishonesty to better align with contemporary educational practices. Overall, the document underscores the need for a balanced approach to integrating generative AI in educational settings, aiming to leverage its benefits while upholding academic integrity.
Key Applications
AI-giarism scale
Context: Higher education, targeting undergraduate and postgraduate students.
Implementation: A survey was conducted using an online questionnaire to gauge student perceptions regarding AI-giarism.
Outcomes: The study identified varying levels of awareness and understanding of plagiarism and AI-giarism, providing insights for policy-making and educational practices.
Challenges: The rapidly changing nature of AI technologies complicates the definition and detection of AI-giarism.
Implementation Barriers
Technological Barrier
Current plagiarism detection tools are not equipped to identify AI-generated content that is original in wording but derivative in ideas.
Proposed Solutions: Development of advanced detection tools that can identify nuances in AI-generated content.
Educational Barrier
Students exhibit a lack of understanding of traditional plagiarism rules and AI-giarism, leading to ambiguity in defining academic misconduct. This highlights the need for comprehensive education on plagiarism and AI ethics in academic curricula.
Proposed Solutions: Implementing comprehensive education on plagiarism and AI ethics in academic curricula.
Project Team
Cecilia Ka Yuk Chan
Researcher
Contact Information
For information about the paper, please contact the authors.
Authors: Cecilia Ka Yuk Chan
Source Publication: View Original PaperLink opens in a new window
Project Contact: Dr. Jianhua Yang
LLM Model Version: gpt-4o-mini-2024-07-18
Analysis Provider: Openai