Research gap analysis through AI

Kudzayi Savious Tarisayi

Chapter 9 in Artificial Intelligence in Postgraduate Research Methodology, 2026, pp 163-190 from Edward Elgar Publishing

Abstract: This chapter explores research gap analysis enhanced by artificial intelligence (AI) within a theoretical framework that integrates AI with traditional methodologies. It categorizes research gaps and proposes AI-driven frameworks to identify and classify underexplored areas in scholarship. The chapter critically evaluates the strengths and limitations of AI-assisted approaches, emphasizing their role in improving analytical precision and methodological rigor. It also examines pedagogical applications, highlighting how AI tools support research skill development and educational practices. An interactive activity demonstrates practical use of AI techniques in gap identification and analysis. Concluding with future directions, the chapter underscores AI's transformative potential in evolving research methodologies. This work bridges theory and practice, offering insights into how AI can systematically enhance research gap identification across disciplines.

Keywords: AI-augmented research methodology; Research gap analysis; Theoretical frameworks; AI-assisted evaluation; Pedagogical applications; Methodological analysis; Emerging AI capabilities (search for similar items in EconPapers)
Date: 2026
ISBN: 9781049408323
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