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Task complexity and AI dependency among college students

The mediating roles of cognitive load, future anxiety, and task motivation

Bibliographic Data

ID15699798
AuthorsHanhui Li (0000-0002-6863-6908, Fuzhou University), Fan Yang (0000-0003-2978-7102, Yango University, corresponding author), Jinpeng Liu (0000-0002-8607-5390, Fujian Agriculture and Forestry University)
Year2026
Volume14
Issue1
Publication date2026-03-05
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueBMC Psychology (JOURNAL)
Journal identifiersISSN: 2050-7283 • E-ISSN: 2050-7283
PublisherBioMed Central (PUBLISHER • GB)
DOI10.1186/s40359-026-04204-2
PMID41787504
OpenAlexW7133687747
LanguageEN
References cited82

This study advances a task-focused perspective on AI dependency by integrating Cognitive Load Theory and Self-Determination Theory and by specifying cognitive load, future anxiety, and task motivation as correlates linking task complexity with AI dependency. Practically, the results suggest actionable directions for course and assessment design (e.g., calibrating task complexity, scaffolding task decomposition and staged feedback, and supporting motivation and emotion management) to help students balance AI use with autonomous learning

Cognition · Cognitive complexity · Confirmatory factor analysis · Dependency (UML · Perspective (graphical · Structural equation modeling · Task (project management · Task Analysis · Cognitive Abilities and Testing · Education, Achievement, and Giftedness · Intelligent Tutoring Systems and Adaptive Learning

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