Master the Art and Science of Research-From First Question to Final Report
What makes research credible, rigorous, and relevant in today's rapidly evolving scientific landscape? Research Methodology: Integrating Generative AI in Contemporary Research Practices offers a comprehensive yet accessible guide for students, researchers, and professionals seeking clarity and confidence in conducting research.
Spanning foundational theories to emerging trends such as generative AI, open science, and citizen-led research, this book walks readers through every stage of the research process-from identifying meaningful problems and designing robust studies to analysing data and communicating findings ethically. It also explores research in the digital age, addressing algorithmic experimentation, dataset ethics, and responsible innovation.
Designed with undergraduate learners in mind and aligned with the National Education Policy (NEP) 2020, the book follows a pedagogical approach that encourages critical thinking and inquiry-based learning. Clear learning objectives, examples, and reflective exercises help readers connect theory with practice, while a "How to Navigate This Book" roadmap guides learners through its structure.
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