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.
Authors
- Tehseen Mazhar (ORCID: https://orcid.org/0000-0002-4649-2376)
- Wasim Ahmad (ORCID: https://orcid.org/0000-0003-2639-9200)
- Afsha Bibi (ORCID: https://orcid.org/0009-0002-0939-7385)
- Tariq Shahzad (ORCID: https://orcid.org/0000-0001-5718-5585)
- Habib Hamam (ORCID: https://orcid.org/0000-0002-5320-1012)
- Sghaier Guizani
Institutions
- 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)
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