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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
- Using Large Language Models to Support Thematic Analysis in Empirical Legal StudiesJakub Drápal · 2023 · 16 citations
- Leveraging large language models for thematic analysis: a case study in the charity sector2025 · 6 citations
- Differences in User Perception of Artificial Intelligence-Driven Chatbots and Traditional Tools in Qualitative Data AnalysisBoštjan Šumak · 2025 · 3 citations
- Leveraging Large Language Models for Automating Inductive Qualitative Coding: A Comparative Study of Prompt Engineering TechniquesElias Frigui · 2024 · 1 citations
- Developing Theory Through Integrating Human and Machine Pattern RecognitionAron Lindberg · 2020 · 62 citations
- Formally comparing topic models and human-generated qualitative coding of physician mothers’ experiences of workplace discriminationAdam S. Miner · 2023 · 24 citations
- Artificial intelligence, ChatGPT, and dental education: Implications for reflective assignments and qualitative researchMario Brondani · 2024 · 21 citations
- The Ethnographer in the Machine: Everyday Experiences with AI‐enabled Data Analysis2023 · 7 citations