Theoretical foundations of intelligence augmentation in postgraduate research methodology

Kudzayi Savious Tarisayi

Chapter 1 in Artificial Intelligence in Postgraduate Research Methodology, 2026, pp 1-19 from Edward Elgar Publishing

Abstract: This chapter explores the theoretical foundations of intelligence augmentation (IA) in postgraduate research methodology, focusing on its transformative impact in social sciences and education. It examines the epistemological shifts brought by integrating artificial intelligence (AI) into knowledge production and the resulting changes in research paradigms. Emphasizing digital transformation, the chapter highlights the emergence of augmented inquiry literacy (AIL) as a vital skill for future scholars. Ethical considerations in deploying AI-augmented tools are critically addressed to ensure responsible research practices. By linking theory with practical concerns, the chapter offers a nuanced framework positioning IA as both a conceptual and operational catalyst in postgraduate research. This synthesis equips researchers to engage thoughtfully with AI-enabled methodologies, advocating for rigorous, innovative, and ethically grounded academic inquiry.

Keywords: Intelligence Augmentation; Artificial Intelligence; Postgraduate Research Methodology; Epistemology; Digital Transformation; Augmented Inquiry Literacy; Ethical Considerations (search for similar items in EconPapers)
Date: 2026
ISBN: 9781049408323
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