Methodological applications of AI-powered data analysis tools in research design

Kudzayi Savious Tarisayi

Chapter 4 in Artificial Intelligence in Postgraduate Research Methodology, 2026, pp 66-89 from Edward Elgar Publishing

Abstract: This chapter examines the integration of AI-powered data analysis tools, ChatCSV, Julius AI, PowerDrill, and Kanaries, within contemporary research design. It highlights their unique functionalities in enhancing data manipulation, pattern recognition, and interpretative depth, extending traditional analytical methods. Grounded in a theoretical framework viewing AI as both augmentative and transformative, the chapter advocates for a hybrid approach combining AI-driven and conventional techniques. The analysis demonstrates how these tools streamline complex workflows and enable innovative, adaptive research designs suited to large, complex datasets. By linking theory with practical applications, this chapter offers scholars insight into strategically employing AI tools to enrich analytical rigor and research outcomes across diverse fields.

Keywords: AI-powered data analysis; Research design; Methodological innovation; ChatCSV; Julius AI; PowerDrill; Kanaries (search for similar items in EconPapers)
Date: 2026
ISBN: 9781049408323
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