Enhancing Research And Teaching Through AI: A Comprehensive Review And Sequential Process For Literature Analysis And Experiential Learning

Artificial Intelligence (AI) has revolutionized education and research by providing tools that supportvarious academic tasks, including literature mapping, extraction, structuring, summarizing, and paraphrasing.Although these tools are widely available, a clear framework for their systematic integration is still lacking. Thisreview article addresses this gap by proposing a structured, sequential process for effectively utilizing AI toolsto enhance teaching, learning, and research through experiential learning and a comprehensive literature review.The framework focuses on optimizing AI use in research, particularly in literature extraction, review structuring,and the development of theoretical frameworks in social sciences. Furthermore, it explores how AI can beemployed throughout the teaching-learning process, from planning to real-time feedback and evaluation. Thepaper also discusses the ethical challenges associated with AI in academia, offering insights into how these canbe managed to ensure effective and responsible AI-human collaboration.