A systematic literature review to implement large language model in higher education: issues and solutions

Artificial intelligence-driven Chatbots, especially large language models (LLMs) like GPT-4, represent significant progress in digital education. These models excel in mimicking human-like text and transforming learning and teaching methods. This study examines the development, application, and impact of LLMs in education. It highlights their role in automating instructional tasks and promoting personalized learning experiences. Despite integration concerns and ethical debates, LLMs showcase the potential of AI to improve educational practices. Our research concludes that LLMs offer transformative opportunities for education. However, their incorporation requires careful ethical considerations, data privacy measures, and a balance between human educators and AI technologies. The findings suggest strategies for integrating LLMs into educational frameworks to enhance learning outcomes while preserving educational integrity.

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Publication Details

Journal
Discover Education
Published
2025-02-15
DOI
https://doi.org/10.1007/s44217-025-00424-7
Citations
29
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
18.32
Controls
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article

A systematic literature review to implement large language model in higher education: issues and solutions

Tehseen Mazhar, Wasim Ahmad, Afsha Bibi, Tariq Shahzad et al.
29 citations
Discover Education
Artificial Intelligence in Healthcare and Education
18.32
article

A systematic literature review to implement large language model in higher education: issues and solutions

Tehseen Mazhar, Wasim Ahmad, Afsha Bibi, Tariq Shahzad, Habib Hamam, Sghaier Guizani
article en
29 citations

Abstract

Artificial intelligence-driven Chatbots, especially large language models (LLMs) like GPT-4, represent significant progress in digital education. These models excel in mimicking human-like text and transforming learning and teaching methods. This study examines the development, application, and impact of LLMs in education. It highlights their role in automating instructional tasks and promoting personalized learning experiences. Despite integration concerns and ethical debates, LLMs showcase the potential of AI to improve educational practices. Our research concludes that LLMs offer transformative opportunities for education. However, their incorporation requires careful ethical considerations, data privacy measures, and a balance between human educators and AI technologies. The findings suggest strategies for integrating LLMs into educational frameworks to enhance learning outcomes while preserving educational integrity.

Discover EducationVol. 4(1)
Alfaisal University (SA), Université de Moncton (CA), COMSATS University Islamabad (PK), University of Johannesburg (ZA), Government of Pakistan (PK), Omar Bongo University (GA), University of Swat (PK), National College of Business Administration and Economics (PK), Government of Punjab (PK)
Quality Education
Openalex Percentile: Top 1%
Artificial Intelligence in Healthcare and Education
18.32
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A systematic literature review to implement large language model in higher education: issues and solutions — Tehseen Mazhar, Wasim Ahmad, et al. · Discover Education (2025) | TGRS Research Map | TGRS