A Conceptual Exploration of Generative AI-Induced Cognitive Dissonance and its Emergence in University-Level Academic Writing
Project Overview
The document examines the role of Generative AI (GenAI) tools in university-level academic writing, emphasizing their dual nature as both advantageous and problematic. These tools enhance efficiency, aiding students in organizing and simplifying their writing tasks, yet they also create challenges related to academic values such as originality and integrity. As students increasingly rely on AI, they may experience cognitive dissonance, which can erode their confidence and sense of authorship. This situation highlights the necessity for educational institutions to implement ethical guidelines and AI literacy programs to address these issues. Overall, while GenAI presents opportunities for improved writing processes, it also raises critical concerns about maintaining academic integrity and fostering independent authorship among students.
Key Applications
GenAI tools like ChatGPT, Gemini, and Claude
Context: University-level academic writing for science students
Implementation: Students use GenAI for organizing and simplifying writing tasks such as article reviews and lab reports.
Outcomes: Reduced cognitive load, improved focus on critical analysis, and adherence to academic writing conventions.
Challenges: Cognitive dissonance regarding reliance on AI versus academic integrity and originality.
Implementation Barriers
Ethical
Ambiguity regarding the role of AI in academic writing leads to potential ethical dilemmas and questions about originality.
Proposed Solutions: Establishing clear guidelines for the ethical integration of GenAI, promoting transparency, and encouraging critical engagement.
Psychological
Increased reliance on AI tools may lead to diminished confidence and self-efficacy in students' writing abilities.
Proposed Solutions: Implementing AI literacy programs and reflective pedagogy to enhance students’ understanding of their role in the writing process.
Project Team
Carl Errol Seran
Researcher
Myles Joshua Toledo Tan
Researcher
Hezerul Abdul Karim
Researcher
Nouar AlDahoul
Researcher
Contact Information
For information about the paper, please contact the authors.
Authors: Carl Errol Seran, Myles Joshua Toledo Tan, Hezerul Abdul Karim, Nouar AlDahoul
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