The Mediating Role of ChatGPT in The Relationship Between Academic Workload, Learning Facilities, and Academic Efficiency

In the evolving academic landscape, artificial intelligence (AI) tools like ChatGPT have gained prominence for their potential to enhance academic efficiency. This study examines the mediating role of ChatGPT in the relationship between academic workload, learning facilities, and academic efficiency among higher education students. Using a quantitative cross-sectional design and structural equation modeling, the findings highlight that while academic workload and learning facilities significantly impactacademic efficiency, ChatGPT serves as a critical mediator. The results reveal that ChatGPT alleviates the negative effects of high workloads by automating routine tasks and providing personalized support, thereby enhancing productivity and reducing stress. Additionally, the study identifies that while learning facilities strongly influence academic efficiency, their direct effect on ChatGPT usage is limited. These insights underline the transformative role of AI in education, offering strategies for institutions to integrateAI tools to address challenges in resource-constrained environments. The findings contribute to the growing literature on AI in education, emphasizing the need for balanced adoption of technological innovations to optimize student outcomes. Future research should explore longitudinal impacts of AI tools across diverse educational settings.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-01-22
DOI
https://doi.org/10.5281/zenodo.14716248
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

The Mediating Role of ChatGPT in The Relationship Between Academic Workload, Learning Facilities, and Academic Efficiency

Zenodo (CERN European Organization for Nuclear Research)
Artificial Intelligence in Healthcare and Education
article

The Mediating Role of ChatGPT in The Relationship Between Academic Workload, Learning Facilities, and Academic Efficiency

article en

Abstract

In the evolving academic landscape, artificial intelligence (AI) tools like ChatGPT have gained prominence for their potential to enhance academic efficiency. This study examines the mediating role of ChatGPT in the relationship between academic workload, learning facilities, and academic efficiency among higher education students. Using a quantitative cross-sectional design and structural equation modeling, the findings highlight that while academic workload and learning facilities significantly impactacademic efficiency, ChatGPT serves as a critical mediator. The results reveal that ChatGPT alleviates the negative effects of high workloads by automating routine tasks and providing personalized support, thereby enhancing productivity and reducing stress. Additionally, the study identifies that while learning facilities strongly influence academic efficiency, their direct effect on ChatGPT usage is limited. These insights underline the transformative role of AI in education, offering strategies for institutions to integrateAI tools to address challenges in resource-constrained environments. The findings contribute to the growing literature on AI in education, emphasizing the need for balanced adoption of technological innovations to optimize student outcomes. Future research should explore longitudinal impacts of AI tools across diverse educational settings.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 55%
Artificial Intelligence in Healthcare and Education
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