12,445 papers · continuously updated · last export: 10 Aug 2026livingmeta.ai
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Research theme

Qualitative Coding with AI

The Qualitative Coding with AI theme comprises 110 papers in this corpus published between 1998 and 2026. Work here is dominated by Case Study, Mixed Methods, Conceptual. 5 open research gaps have been surfaced in this area.

Methodology profile

  • Case Study21 (19%)
  • Mixed Methods19 (17%)
  • Conceptual15 (14%)
  • Design Science13 (12%)
  • Qualitative10 (9%)
  • Experimental10 (9%)

Research domains

  • Data Analysis47 (43%)
  • Knowledge Synthesis20 (18%)
  • Academic Writing15 (14%)
  • Human-AI Collaboration8 (7%)
  • Research Integrity2 (2%)
  • Research Productivity1 (1%)

Frequent sub-topics

automated scoring of student assessments using transformer models · 1LLM-assisted thematic analysis of patient experiences in chronic illness management · 1LLM reliability for qualitative data coding in humanitarian context · 1ChatGPT for thematic analysis in mental health research · 1LLM-assisted thematic analysis for public health survey data · 1LLM support for Critical Discourse Analysis of media ideology · 1AI-assisted content analysis and Bardin method · 1AI-generated thematic framework for expert review · 1

Open research gaps

  • The paper identifies that traditional assessment methods are insufficient for analyzing hidden cognitive processes, reasoning chains, and persistent misconceptions in students' written outputs in scie
  • The authors identify the need for further research on understanding healthcare experiences at multiple ecological levels in digital environments and demonstrate the potential for methodological innova
  • The paper suggests future work on implementing and refining the machine-in-the-loop framework for integration of generative AI in Writing Studies research with large datasets.
  • Limited exploration of MLLMs in authentic educational video analysis contexts
  • Need for multimodal integration incorporating audio data

Representative papers