A comprehensive review of large language models: issues and solutions in learning environments

Abstract A significant advancement in artificial intelligence is the development of large language models (LLMs). Despite opposition and explicit bans by some authorities, LLMs continue to play a transformative role, particularly in education, by improving language understanding and generation capab...

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Main Authors: Tariq Shahzad, Tehseen Mazhar, Muhammad Usman Tariq, Wasim Ahmad, Khmaies Ouahada, Habib Hamam
Format: Article
Language:English
Published: Springer 2025-01-01
Series:Discover Sustainability
Subjects:
Online Access:https://doi.org/10.1007/s43621-025-00815-8
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author Tariq Shahzad
Tehseen Mazhar
Muhammad Usman Tariq
Wasim Ahmad
Khmaies Ouahada
Habib Hamam
author_facet Tariq Shahzad
Tehseen Mazhar
Muhammad Usman Tariq
Wasim Ahmad
Khmaies Ouahada
Habib Hamam
author_sort Tariq Shahzad
collection DOAJ
description Abstract A significant advancement in artificial intelligence is the development of large language models (LLMs). Despite opposition and explicit bans by some authorities, LLMs continue to play a transformative role, particularly in education, by improving language understanding and generation capabilities. This study explores LLMs’ types, history, and training processes, alongside their application in education, including digital and higher education settings. A novel theoretical framework is proposed to guide the integration of LLMs into education, addressing key challenges such as personalization, ethical concerns, and adaptability. Furthermore, the study presents practical case studies and solutions to barriers, such as data privacy and bias, offering insights into their role in enhancing the teaching–learning process. By providing a systematic analysis and proposing a structured framework, this study advances current knowledge and highlights the significant potential of LLMs in revolutionizing education.
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series Discover Sustainability
spelling doaj-art-1484064eb0304aa88fb17ccb356615872025-01-19T12:05:11ZengSpringerDiscover Sustainability2662-99842025-01-016113410.1007/s43621-025-00815-8A comprehensive review of large language models: issues and solutions in learning environmentsTariq Shahzad0Tehseen Mazhar1Muhammad Usman Tariq2Wasim Ahmad3Khmaies Ouahada4Habib Hamam5Department of Electrical and Electronic Engineering Science, University of JohannesburgSchool of Computer Science, National College of Business Administration and EconomicsAbu Dhabi UniversityDepartment of Computing, School of Arts and Creative Technology, University of Greater ManchesterDepartment of Electrical and Electronic Engineering Science, University of JohannesburgDepartment of Electrical and Electronic Engineering Science, University of JohannesburgAbstract A significant advancement in artificial intelligence is the development of large language models (LLMs). Despite opposition and explicit bans by some authorities, LLMs continue to play a transformative role, particularly in education, by improving language understanding and generation capabilities. This study explores LLMs’ types, history, and training processes, alongside their application in education, including digital and higher education settings. A novel theoretical framework is proposed to guide the integration of LLMs into education, addressing key challenges such as personalization, ethical concerns, and adaptability. Furthermore, the study presents practical case studies and solutions to barriers, such as data privacy and bias, offering insights into their role in enhancing the teaching–learning process. By providing a systematic analysis and proposing a structured framework, this study advances current knowledge and highlights the significant potential of LLMs in revolutionizing education.https://doi.org/10.1007/s43621-025-00815-8Natural language processing systemsLarge language modelsNeural networksArtificial intelligenceEducationLearning systems
spellingShingle Tariq Shahzad
Tehseen Mazhar
Muhammad Usman Tariq
Wasim Ahmad
Khmaies Ouahada
Habib Hamam
A comprehensive review of large language models: issues and solutions in learning environments
Discover Sustainability
Natural language processing systems
Large language models
Neural networks
Artificial intelligence
Education
Learning systems
title A comprehensive review of large language models: issues and solutions in learning environments
title_full A comprehensive review of large language models: issues and solutions in learning environments
title_fullStr A comprehensive review of large language models: issues and solutions in learning environments
title_full_unstemmed A comprehensive review of large language models: issues and solutions in learning environments
title_short A comprehensive review of large language models: issues and solutions in learning environments
title_sort comprehensive review of large language models issues and solutions in learning environments
topic Natural language processing systems
Large language models
Neural networks
Artificial intelligence
Education
Learning systems
url https://doi.org/10.1007/s43621-025-00815-8
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