Abstract

Background. The accelerated implementation of artificial intelligence (AI) in higher education is changing the content of faculty professional activity, while faculty attitudes toward AI largely shape universities' digital transformation. However, the structure of these attitudes and their typological diversity remain insufficiently explored. Most existing studies rely either on general technology acceptance models or on isolated opinions and concerns, whereas typological reconstruction of stable psychological profiles remains underdeveloped.

Objective. To identify and describe a typology of higher education faculty attitudes toward the use of AI in their professional activity.

Study Participants. The study involved 400 faculty members from several Russian universities representing different institutional profiles. The mean age was 38.07 years, and the mean teaching experience was 11.65 years.

Methods. The study employed six scales of the validated author-developed questionnaire "Teachers' Attitudes toward Artificial Intelligence," along with indicators of AI use intensity, AI-related behavioral practices, organizational context, and work engagement. The typology of attitudes was identified using hierarchical cluster analysis and k-means clustering. Differences between the clusters were assessed through parametric and nonparametric statistical procedures.

Results. The study has identified three types of teachers' attitudes toward AI: "pragmatically accepting," "normative-reflective users," and "anxiously distanced skeptics." The strongest contributions to the differentiation of these types were made by perceived usefulness of AI, readiness for its implementation, subjective competence, and professional anxiety. Normative-regulatory indicators showed weaker discriminative power. Age, teaching experience, and work engagement were not statistically significantly associated with the typology. Differences in AI use frequency were limited, whereas differences in AI-related practices and organizational context were more pronounced.

Conclusions. Faculty attitudes toward AI represent a multidimensional psychological construct that includes resource-related, anxiety-related, and normative-regulatory dimensions. The identified typology allows moving beyond an averaged description of AI acceptance and reconstructing qualitatively distinct psychological profiles, which may inform professional development programs, digital adaptation strategies, and institutional AI policies in higher education.