This systematic mapping study examines how Large Language Models (LLMs) are addressing the challenges of analyzing massive text datasets in qualitative research.

• LLMs help overcome limitations of traditional methods that are time-intensive and subjective
• Applications span across healthcare, education, and social sciences
• Offers automated analysis capabilities that enhance research efficiency and quality
• Particularly valuable in education for processing extensive textual data from learning environments

For educational institutions, this research highlights promising approaches to analyze student feedback, learning patterns, and educational content at scale while maintaining analytical rigor.

Large Language Model for Qualitative Research -- A Systematic Mapping Study