Isbn: 9789349919679 - research methodology: integrating generative ai in contemporary research practices (9 resultados)

Condición: New.

HRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.

HRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.

Hardcover. Condición: Brand New. 578 pages. 6.00x1.25x9.00 inches. In Stock.

Buch. Condición: Neu. Neuware - 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.…

Condición: New. Print on Demand.

Condición: New. Print on Demand.

Condición: New. PRINT ON DEMAND.

Hardcover. Condición: new. Hardcover. 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. Practical guide to using generative AI across the research workflow, from framing research questions to data analysis and academic writing, with a clear focus on dataset ethics, transparency and responsible innovation. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…