12,637 papers · updated 10 Oct 2026livingmeta.ai
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Research theme

Qualitative Coding with AI

The Qualitative Coding with AI theme comprises 113 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 Study22 (19%)
  • Mixed Methods19 (17%)
  • Conceptual15 (13%)
  • Design Science13 (12%)
  • Qualitative11 (10%)
  • Experimental10 (9%)

Research domains

  • Data Analysis48 (42%)
  • Knowledge Synthesis20 (18%)
  • Academic Writing16 (14%)
  • Human-AI Collaboration8 (7%)
  • Research Integrity2 (2%)
  • Research Productivity1 (1%)

Frequent sub-topics

automated scoring of student assessments using transformer models · 1co-researcher participation in arts-based visual data analysis · 1semi-automatic analysis of oral narratives using NLP · 1LLM-assisted thematic analysis of patient experiences in chronic illness management · 1LLM-assisted thematic analysis workflow optimization · 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 · 1

Open research gaps

  • The authors identify the need for automated chronological classification of Hafez poetry, noting "to our knowledge, no automatic chronological classification has been conducted for Hafez poetry." They
  • Further validation is needed for the method's superiority claims; controlled comparison between human and LLM interviews; broader application beyond the single case study; validation of the proposed p
  • Limited exploration of MLLMs in authentic educational video analysis contexts
  • Need for multimodal integration incorporating audio data
  • Lack of event-based segmentation approaches that align with natural behavioral boundaries

Representative papers

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