Work

From cognitive need to problematic use: a chained mediation path moderated by academic stress and AI literacy

Year: 2026

Type: article

Abstract: Introduction: The rapid adoption of Generative AI (GenAI) in higher education raises concerns about psychological dependency. Grounded in the I-PACE model, this study investigates how lower need for cognition (NFC) is associated with problematic use via positive affect and Avoidance-Oriented GenAI Motivation, moderated by academic stress and AI literacy. Methods: = 452). Data were analyzed using structural equation modeling (SEM) to assess the serial mediation effects and the moderated mediation dynamics. Results: Analysis confirmed a serial mediation chain: lower NFC predicted stronger positive affect, increasing avoidance motivation and subsequent problematic use. This pathway was significantly amplified by high academic stress but attenuated by high AI literacy, which neutralized dependency risks. Discussion: Findings extend the I-PACE model to instrumental technologies, identifying a specific "cognitive relief to avoidance" mechanism. The study highlights AI literacy as a vital protective resource, suggesting educators should prioritize fostering critical digital competencies over prohibitive policies to mitigate reliance risks.

Source: Frontiers in Psychology

DOI: 10.3389/fpsyg.2026.1767454

Authors: Yong Kong, Tongqiang Dong, Ziyi Yang, Yu Fang, Ning Chen

Institution: Qufu Normal University

Language: English

Topic: Artificial Intelligence in Education

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

SDGs: Quality education, Good health and well-being

Open Access status: gold

Estimated APC paid: $3,801