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

Fuente: arXiv
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Hauptverfasser: Seran, Carl Errol, Tan, Myles Joshua Toledo, Karim, Hezerul Abdul, AlDahoul, Nouar
Format: Preprint
Veröffentlicht: 2025
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author Seran, Carl Errol
Tan, Myles Joshua Toledo
Karim, Hezerul Abdul
AlDahoul, Nouar
author_facet Seran, Carl Errol
Tan, Myles Joshua Toledo
Karim, Hezerul Abdul
AlDahoul, Nouar
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2502_05698
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle A Conceptual Exploration of Generative AI-Induced Cognitive Dissonance and its Emergence in University-Level Academic Writing
Seran, Carl Errol
Tan, Myles Joshua Toledo
Karim, Hezerul Abdul
AlDahoul, Nouar
Computers and Society
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.
title A Conceptual Exploration of Generative AI-Induced Cognitive Dissonance and its Emergence in University-Level Academic Writing
topic Computers and Society
url https://arxiv.org/abs/2502.05698