The Use of AI in Literature Reviews: Implications for Doctoral Scholarship

This extended academic preprint presents a critical and comprehensive analysis of The Use of AI in Literature Reviews: Implications for Doctoral Scholarship within the context of Uni_Doctorado education. Through a systematic review of contemporary empirical literature (2020-2025), we evaluate the historical evolution, principal pedagogical frameworks, and measurable outcomes of this topic. Our analysis involves over 60 core scientific records and addresses the multifaceted challenges of scalability, ethical data usage, and teacher agency. The results indicate a significant positive impact on both cognitive and social-emotional outcomes, moderated by socioeconomic status and institutional readiness. We propose an integrated framework for the implementation of The Use of AI in Literature Reviews: Implications for Doctoral Scholarship that balances scientific rigor with the flexibility required for real-world classrooms.