Vol.15, No.3, August 2026.                                                                                                                                                                          ISSN: 2217-8309

                                                                                                                                                                                                                        eISSN: 2217-8333

 

TEM Journal

 

TECHNOLOGY, EDUCATION, MANAGEMENT, INFORMATICS

Association for Information Communication Technology Education and Science

 

The Capabilities of Large Language Models for Reducing Learning Fatigue

 

Galina Atanasova, Bagryana Ilieva

 

© 2026 Galina Atanasova, published by UIKTEN. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. (CC BY-NC-ND 4.0)

 

Citation Information: TEM Journal. Volume 15, Issue 3, Pages 3058-3064, ISSN 2217-8309, DOI: 10.18421/TEM153-85, August 2026.

 

Received: 08 August 2025.
Revised: 20 January 2026.
Accepted: 05 February 2026.
Published: 27 August 2026.

 

Abstract:

 

This article investigates the transformative role of large language models (LLMs), specifically ChatGPT, in contemporary education and their impact on learning fatigue. It examines both the potential benefits of LLMs use as personalized learning, automated content creation, interactive tasks, and real-time feedback from one point of view and the emerging challenges, including increased dependence on digital devices and the risk of digital fatigue - mental, physical, and emotional exhaustion caused by prolonged screen exposure from the other. The results show widespread familiarity with artificial intelligence tools and moderate relationships between AI use and perceived reductions in learning effort. Frequent use of ChatGPT appears to implement improvements in homework, highlighting the need to further develop students’ digital literacy and prompting skills. The study concludes that the responsible, well-regulated integration of LLMs can enhance learning effectiveness while helping to mitigate risks associated with digital fatigue. This research is relevant for educators and institutions seeking to improve student outcomes through the thoughtful adoption of AI-based tools.

 

Keywords – Education, students’ fatigue, LLM, ChatGPT.

 

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