A systematic review of ChatGPT in education and scientific research: Insights from a SWOT analysis

The rapid integration of ChatGPT into educational and research contexts has generated significant debate regarding its pedagogical value, methodological reliability, and ethical implications. This study employs a SWOT (Strengths, Weaknesses, Opportunities, and Threats) analytical framework to critically examine the multifaceted impact of ChatGPT on higher education and scientific research, drawing on a systematic review of secondary literature. The analysis identifies key strengths, including enhanced research efficiency, academic writing support, multilingual accessibility, and potential for personalized learning. However, these advantages are counterbalanced by notable weaknesses, particularly concerns related to fabricated citations, response inaccuracy, algorithmic bias, and limited higher-order reasoning capabilities. The findings further reveal important opportunities for innovation, such as AI-assisted curriculum development, adaptive learning pathways, and professional development support, provided that robust institutional oversight mechanisms are in place. At the same time, significant threats emerge, including increased risks of academic misconduct, erosion of scholarly integrity, discriminatory outputs, and potential overreliance that may weaken critical thinking skills. In response, the study advocates structured governance frameworks, AI literacy initiatives, and assessment reforms designed to preserve academic rigor while enabling responsible innovation. By offering a theoretically grounded and critically balanced synthesis, this review contributes to the evolving discourse on generative AI in academia and provides a foundation for future empirical investigation and policy development. • ChatGPT improves research productivity, accuracy, writing, and supports personalized, inclusive learning. • Weaknesses include difficulty judging quality, bias risks, misleading outputs, and limited higher-order reasoning. • Opportunities include creating learning materials, enabling complex learning, and supporting professional development. • Threats include plagiarism, academic dishonesty, bias, and reduced critical thinking from AI overreliance. • The study recommends guidelines, AI literacy, and assessment reform for responsible ChatGPT use in education and research.

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Publication Details

Journal
Social Sciences & Humanities Open
Published
2026-03-21
DOI
https://doi.org/10.1016/j.ssaho.2026.102720
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

A systematic review of ChatGPT in education and scientific research: Insights from a SWOT analysis

Mohamed Yusuf Ahmed, Hassan Abdikadir Hussein, Abdulkadir Mohamed Abdullahi
Social Sciences & Humanities Open
Artificial Intelligence in Healthcare and Education
article

A systematic review of ChatGPT in education and scientific research: Insights from a SWOT analysis

Mohamed Yusuf Ahmed, Hassan Abdikadir Hussein, Abdulkadir Mohamed Abdullahi
article en

Abstract

The rapid integration of ChatGPT into educational and research contexts has generated significant debate regarding its pedagogical value, methodological reliability, and ethical implications. This study employs a SWOT (Strengths, Weaknesses, Opportunities, and Threats) analytical framework to critically examine the multifaceted impact of ChatGPT on higher education and scientific research, drawing on a systematic review of secondary literature. The analysis identifies key strengths, including enhanced research efficiency, academic writing support, multilingual accessibility, and potential for personalized learning. However, these advantages are counterbalanced by notable weaknesses, particularly concerns related to fabricated citations, response inaccuracy, algorithmic bias, and limited higher-order reasoning capabilities. The findings further reveal important opportunities for innovation, such as AI-assisted curriculum development, adaptive learning pathways, and professional development support, provided that robust institutional oversight mechanisms are in place. At the same time, significant threats emerge, including increased risks of academic misconduct, erosion of scholarly integrity, discriminatory outputs, and potential overreliance that may weaken critical thinking skills. In response, the study advocates structured governance frameworks, AI literacy initiatives, and assessment reforms designed to preserve academic rigor while enabling responsible innovation. By offering a theoretically grounded and critically balanced synthesis, this review contributes to the evolving discourse on generative AI in academia and provides a foundation for future empirical investigation and policy development. • ChatGPT improves research productivity, accuracy, writing, and supports personalized, inclusive learning. • Weaknesses include difficulty judging quality, bias risks, misleading outputs, and limited higher-order reasoning. • Opportunities include creating learning materials, enabling complex learning, and supporting professional development. • Threats include plagiarism, academic dishonesty, bias, and reduced critical thinking from AI overreliance. • The study recommends guidelines, AI literacy, and assessment reform for responsible ChatGPT use in education and research.

Social Sciences & Humanities OpenVol. 13
SIMAD University (SO)
Quality Education
Openalex Percentile: Top 15%
Artificial Intelligence in Healthcare and Education
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