مجلة الحكمة للدراسات الفلسفية
Volume 14, Numéro 2, Pages 789-802
2026-06-01
Artificial Intelligence Techniques In The Methodological Preparation And Design Of University Theses And Dissertations
Authors : El Hassani Ibtissem . Boualli Badia .
Abstract
The rapid integration of artificial intelligence (AI) in university research is reshaping the methodological preparation of theses and dissertations. This study examines how AI tools—such as ChatGPT, Elicit, Zotero, and Grammarly—can support topic selection, problem formulation, literature review, data analysis, and academic writing. While AI enhances efficiency and analytical precision, it raises ethical and methodological challenges regarding originality, critical thinking, and research integrity. Using a critical and integrative approach, the study explores AI’s role as a cognitive partner, emphasizing that human oversight remains essential. Findings suggest that responsible AI use can improve research quality, accelerate processes, and foster innovative methodologies without compromising scholarly rigor. Recommendations include developing computational research literacy, supervising AI outputs critically, and promoting human–AI collaboration to ensure methodologically sound, ethically robust, and high-quality university research.
Keywords
Artificial Intelligence ; University Research ; Methodology ; Academic Integrity
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