A Conceptual Exploration of Generative AI-Induced Cognitive Dissonance and its Emergence in University-Level Academic Writing

TL;DR

This paper explores how Generative AI in university writing creates psychological tension related to originality and effort, proposing strategies to balance AI benefits with academic integrity.

Contribution

It introduces the concept of GenAI-induced cognitive dissonance and offers a conceptual framework and strategies for managing it in educational settings.

Findings

GenAI triggers and amplifies cognitive dissonance among students.

Strategies like reflective pedagogy and AI literacy can mitigate dissonance.

The framework guides institutions in aligning AI use with academic values.

Abstract

The integration of Generative Artificial Intelligence (GenAI) into university-level academic writing presents both opportunities and challenges, particularly in relation to cognitive dissonance (CD). This work explores how GenAI serves as both a trigger and amplifier of CD, as students navigate ethical concerns, academic integrity, and self-efficacy in their writing practices. By synthesizing empirical evidence and theoretical insights, we introduce a hypothetical construct of GenAI-induced CD, illustrating the psychological tension between AI-driven efficiency and the principles of originality, effort, and intellectual ownership. We further discuss strategies to mitigate this dissonance, including reflective pedagogy, AI literacy programs, transparency in GenAI use, and discipline-specific task redesigns. These approaches reinforce critical engagement with AI, fostering a balanced perspective that integrates technological advancements while safeguarding human creativity and learning. Our findings contribute to ongoing discussions on AI in education, self-regulated learning, and ethical AI use, offering a conceptual framework for institutions to develop guidelines that align AI adoption with academic values.