Mapping Personality Traits in Teaching and Learning: A Bibliometric Retrieval of Introverted Educators

Personality is a fundamental factor in shaping classroom dynamics, student engagement, and instructional paradigms, yet introversion remains a highly fragmented and peripheral topic within educational scholarship. This study systematically applies a macro-level bibliometric approach to map the latent environment of introversion in the context of the more general literature of teaching and learning. We performed a series of Boolean searches in the Scopus database to reach a final dataset of 753 peer-reviewed publications published from 2000 to 2025. We employed the VOSviewer tool for network visualization and algorithmic clustering to analyze publication trajectories, citation networks, and thematic intersections. Bibliographic coupling revealed five distinct clusters mapping the structural anchors of the field, dominated by research streams in psychological well-being, adaptive learning systems, and academic motivation. Concurrently, co-word analysis yielded four primary thematic networks. Quantitative keyword analysis revealed a stark structural imbalance: macro-level personality frameworks are abundant in the literature (n=353 occurrences) while “introversion” is situated on the absolute structural periphery with only 21 occurrences. This empirical difference highlights the fact that educational research often reduces personality into large general constructs, obscuring the individualized teaching realities of introverted educators. In this paper, we bring these networks together through an integrative matrix to map the implicit embedding of introverted teaching qualities, including deliberate reflection, deep listening, and asynchronous digital mediation, within mainstream pedagogies. Ultimately, this research provides a structural framework for the conversion of introversion from a stigmatized variable to an explicitly acknowledged strength in the design of contemporary education.