A systematic literature review to implement large language model in higher education: issues and solutions
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,...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Springer
2025-02-01
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| Series: | Discover Education |
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| Online Access: | https://doi.org/10.1007/s44217-025-00424-7 |
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| author | Sghaier Guizani Tehseen Mazhar Tariq Shahzad Wasim Ahmad Afsha Bibi Habib Hamam |
| author_facet | Sghaier Guizani Tehseen Mazhar Tariq Shahzad Wasim Ahmad Afsha Bibi Habib Hamam |
| author_sort | Sghaier Guizani |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-7a6e8e73eacb406ab2236f04d7018332 |
| institution | DOAJ |
| issn | 2731-5525 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Springer |
| record_format | Article |
| series | Discover Education |
| spelling | doaj-art-7a6e8e73eacb406ab2236f04d70183322025-08-20T02:48:30ZengSpringerDiscover Education2731-55252025-02-014112510.1007/s44217-025-00424-7A systematic literature review to implement large language model in higher education: issues and solutionsSghaier Guizani0Tehseen Mazhar1Tariq Shahzad2Wasim Ahmad3Afsha Bibi4Habib Hamam5College of Engineering, Alfaisal UniversitySchool of Computer Science, National College of Business Administration and EconomicsDepartment of Computer Engineering, COMSATS University IslamabadDepartment of Computing, School of Arts and Creative Technology, University of Greater ManchesterDepartment of Computer and Software Technology, University of SwatFaculty of Engineering, Uni de MonctonAbstract 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.https://doi.org/10.1007/s44217-025-00424-7Natural language processing systemsLarge language modelsNeural networksArtificial intelligenceEducationLearning systems |
| spellingShingle | Sghaier Guizani Tehseen Mazhar Tariq Shahzad Wasim Ahmad Afsha Bibi Habib Hamam A systematic literature review to implement large language model in higher education: issues and solutions Discover Education Natural language processing systems Large language models Neural networks Artificial intelligence Education Learning systems |
| title | A systematic literature review to implement large language model in higher education: issues and solutions |
| title_full | A systematic literature review to implement large language model in higher education: issues and solutions |
| title_fullStr | A systematic literature review to implement large language model in higher education: issues and solutions |
| title_full_unstemmed | A systematic literature review to implement large language model in higher education: issues and solutions |
| title_short | A systematic literature review to implement large language model in higher education: issues and solutions |
| title_sort | systematic literature review to implement large language model in higher education issues and solutions |
| topic | Natural language processing systems Large language models Neural networks Artificial intelligence Education Learning systems |
| url | https://doi.org/10.1007/s44217-025-00424-7 |
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