Artificial Intelligence-Based Mixed Methods: A New Paradigm in Social and Educational Research
DOI:
https://doi.org/10.62554/r9tcqs70Keywords:
Mixed Methods, Artificial Intelligence, Paradigm, Social Research, Educational ResearchAbstract
The advancement of science has always evolved in tandem with the dynamics of human civilization. As we enter the 21st century, the world is undergoing a massive digital transformation. Artificial Intelligence (AI) is not merely a technological innovation; it represents a transformation in how humans interact with information. An AI-driven mixed-methods approach enables the systematic analysis of large-scale quantitative data, which can then be explored in greater depth through qualitative interviews or observations. This study employs a systematic literature review combined with a critical-conceptual analysis. The findings indicate that AI-driven mixed-methods research constitutes a new paradigm in the fields of social science and education. This integration expands analytical capacity, strengthens data triangulation, and enhances the precision of scientific decision-making. Nevertheless, AI does not replace the human role as the primary epistemic subject. This paradigm demands conceptual, methodological, and ethical preparedness; researchers must master the technology while simultaneously upholding scientific integrity. Thus, an AI-driven mixed-methods approach serves as a means to deepen the understanding of social and educational realities, rather than simply accelerating the analytical process.
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Copyright (c) 2026 Jaya Alamsyah, Iksan Saifudin (Author)
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